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• Suykens J

89-29

Suykens J.A.K., Moonen M., Vandewalle J., ``A survey of SVD-applications, specifications and systolic architectures'', Technical Report 89-29, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1989.
Lirias number: 70330.

90-24

Suykens J.A.K., Vandewalle J., ``Quasilinear approach to nonlinear systems and the design of n-double scroll (n=1,2,3,4,...)'', IEE Proceedings-G, vol. 138, no. 5, Oct. 1991, pp. 595-603.
Lirias number: 73379.

90-30

Van Overschee P., De Moor B., Suykens J.A.K., ``Subspace algorithms for system identification and stochastic realization'', in Proc. of the International Symposium on Recent Advances in Mathematical Theory of Systems, Control, Networks and Signal Processing (MTNS'91), Kobe, Japan, Jun. 1991, pp. 589-595.
Lirias number: 181200.

90-59

Suykens J.A.K., De Moor B., Vandewalle J., ``GSVD-based stochastic realization'', Technical Report 90-59, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1990.
Lirias number: 181153.

90-60

Suykens J.A.K., De Moor B., Vandewalle J., ``QPQ-SVD based system identification'', Technical Report 90-60, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1990.
Lirias number: 181153.

92-16

Suykens J.A.K., De Moor B., ``Stabilizing neural controllers with application to control of an inverted pendulum'', Technical Report 92-16, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1992.
Lirias number: 180837.

92-39

Suykens J.A.K., De Moor B., ``Nonlinear system identification using multilayer neural networks: some ideas for initial weights, number of hidden neurons and error criteria'', in Proc. of the 12th IFAC World Congress, Sydney, Australia, Jul. 1993, pp. 49-52.
Lirias number: 180767.

92-40

Suykens J.A.K., De Moor B., Vandewalle J., ``Nonlinear system identification using neural networks: from linear to nonlinear neural state space models for MIMO systems, applicable to robust controller design'', Technical Report 92-40, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1992.
Lirias number: 180767.

92-41

Suykens J.A.K., Van Impe J., De Moor B., Vandewalle J., ``Neural optimal control of fed-batch fermentation processes'', Technical Report 92-41, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1992.
Lirias number: 180767.

93-03

Suykens J.A.K., De Moor B., Vandewalle J., ``Static and dynamic stabilizing neural controllers applicable to transition between equilibrium points'', Neural Networks, vol. 7, no. 5, 1994, pp. 819-831.
Lirias number: 218674.

93-22

Suykens J.A.K., Vandewalle J., ``Generation of n-double scrolls (n=1,2,3,4,...)'', IEEE Transactions on Circuits and Systems-I, Special issue on chaos in nonlinear electronic circuits, vol. 40, no. 11, 1993, pp. 861-867.
Lirias number: 180494.

93-23

Thierens D., Suykens J.A.K., Vandewalle J., De Moor B., ``Genetic weight optimization of a feedforward neural network controller'', in Proc. of the International Conference on Artificial Neural Networks and Genetic Algorithms, Innsbruck, Austria, Apr. 1993, 6 p.
Lirias number: 180492.

93-43

Suykens J.A.K., De Moor B., Vandewalle J., ``Optimal feedforward and recurrent neural net controllers, constrained by linear controller design'', Technical Report 93-43, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1993.
Lirias number: 71964.

93-44

Suykens J.A.K., Vandewalle J., ``Between n-double sinks and n-double scrolls (n = 1,2,3,4,...)'', in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 829-834.
Lirias number: 180457.

93-45

Suykens J.A.K., De Moor B., Vandewalle J., ``Stabilizing neural controllers: a case study for swinging up a double inverted pendulum'', in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 411-414.
Lirias number: 180455.

93-46

Suykens J.A.K., De Moor B., Vandewalle J., ``Neural network models as linear systems with bounded uncertainty, applicable to robust controller design'', in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 419-422.
Lirias number: 180453.

94-07

Suykens J.A.K., De Moor B., Vandewalle J., ``Nonlinear system identification using neural state space models, applicable to robust control design'', International Journal of Control, vol. 62, no. 1, 1995, pp. 129-152.
Lirias number: 218676.

94-57

Suykens J.A.K., Vandewalle J., ``A Fokker-Planck learning machine for global optimization'', Technical Report 94-57, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180050.

94-58

Suykens J.A.K., De Moor B., Vandewalle J., ``Neural state space model framework for identification and control with global asymptotic stability criteria'', Technical Report 94-58, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180050.

94-62

Suykens J.A.K., De Moor B., Vandewalle J., ``Stability criteria for neural control systems'', in Proc. of the 3rd European Control Conference (ECC'95), Roma, Italy, Sep. 1995, pp. 2766-2771.
Lirias number: 180043.

94-63

Suykens J.A.K., De Moor B., Vandewalle J., ``NL_q theory and its extension to mu theory'', Technical Report 94-63, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180043.

94-71

Suykens J.A.K., Vandewalle J., ``Generalized cellular neural networks represented in the NL_q framework'', in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS'95), Seattle, Washington, 1995, pp. 645-648.
Lirias number: 180030.

94-74

Suykens J.A.K., De Moor B., ``Artificial neural networks for modeling and control of nonlinear systems'', Technical Report 94-74, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180026.

94-77

Suykens J.A.K., De Moor B., Vandewalle J., ``NL_q theory: unifications in the theory of neural networks, systems and control'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'95), Brussels, Belgium, Apr. 1995, pp. 271-276.
Lirias number: 180023.

94-82

Suykens J.A.K., Vandewalle J., ``Nonconvex optimization using a Fokker-Planck learning machine'', in Proc. of the 12th European Conference on Circuit Theory, Design (ECCTD'95), Istanbul, Turkey, Aug. 1995, pp. 983-986.
Lirias number: 180013.

94-83

Suykens J.A.K., De Moor B., Vandewalle J., ``NL_q theory: a neural control framework with global asymptotic stability criteria'', Neural Networks, vol. 10, no. 4, Jun. 1997, pp. 615-637.
Lirias number: 218695.

95-02

Suykens J.A.K., Vandewalle J., ``Discrete time interconnected cellular neural networks within NL_q theory'', International Journal of Circuit Theory and Applications, vol. 24, no. 1, Jan.-Feb. 1996, pp. 25-36.
Lirias number: 218687.

95-04

Suykens J.A.K., Vandewalle J., Van Ginderdeuren J., ``Feedback linearization of nonlinear distortion in electrodynamic loudspeakers'', Journal of the Audio Engineering Society, vol. 43, no. 9, Sep. 1995, pp. 690-694.
Lirias number: 73835.

95-14

Suykens J.A.K., Vandewalle J., ``Learning a simple recurrent neural state space model to behave like Chua's double scroll'', IEEE Transactions on Circuits and Systems-I, vol. 42, no. 8, Aug. 1995, pp. 499-502.
Lirias number: 218678.

95-15

Suykens J.A.K., Vandewalle J., ``NL_q theory: a unifying framework for analysis, design and applications of complex nonlinear systems'', in Proc. of the International Workshop on Non-Linear Dynamics of Electronic Systems (NDES'95) (Invited talk), Dublin, Ireland, Jul. 1995, pp. 121-130.
Lirias number: 179930.

95-19

Suykens J.A.K., Vandewalle J., ``Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modeling and control'', in Proc. of the IEEE International Conference on Neural Networks (ICNN'95), Perth, Australia, Nov.-Dec. 1995.
Lirias number: 179916.

95-23

Suykens J.A.K., Vandewalle J., ``On the identification of a chaotic system by means of recurrent neural state space models'', in Proc. of the IEEE International Conference on Neural Networks (ICNN'95), Perth, Australia, Nov.-Dec. 1995.
Lirias number: 179909.

95-29

Suykens J.A.K., Artificial Neural Networks for Modeling and Control of Nonlinear Systems, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), May 1995, 249 p.
Lirias number: 179889.

95-33

Suykens J.A.K., Vandewalle J., ``Control of a recurrent neural network emulator for the double scroll'', IEEE Transactions on Circuits and Systems-I, vol. 43, no. 6, Jun. 1996, pp. 511-514.
Lirias number: 218688.

95-40

Suykens J.A.K., Vandewalle J., De Moor B., ``Mastering chaos and different types of nonlinear behaviour, represented by artificial neural networks'', Technical Report 95-40, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1995.
Lirias number: 73958.

95-53

Suykens J.A.K., Vandewalle J., De Moor B., Artificial Neural Networks for Modeling and Control of Non-Linear Systems, Kluwer Academic Publishers, 1995, 235 p.
Lirias number: 179860.

96-06

Suykens J.A.K., De Moor B., Vandewalle J., ``Links between NL_q neural control theory and mu robust control theory'', in Proc. of the IEEE International Conference on Decision and Control (CDC'96), Kobe, Japan, Dec. 1996.
Lirias number: 179669.

96-08

Suykens J.A.K., Vandewalle J., ``Absolute stability criterion for a Lur'e problem with multilayer perceptron nonlinearity'', in Proc. of the International Workshop on Nonlinear Dynamics of Electronic Systems (NDES'96), Sevilla, Spain, Jun. 1996, pp. 117-122.
Lirias number: 179666.

96-14

Vandenbussche J., Lemmerling P., Suykens J.A.K., Gielen G., ``High-level power/area estimation and behavorial modeling of analog circuits using neural networks'', Technical Report 96-14, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1996.
Lirias number: 72955.

96-15

Suykens J.A.K., Bersini H., ``Neural control theory: an overview'', Journal A, vol. 37, no. 3, 1996, pp. 4-10.
Lirias number: 179658.

96-19

Suykens J.A.K., Vandewalle J., De Moor B., ``An absolute stability criterion for the Lur'e problem with sector and slope restricted nonlinearities'', IEEE Transactions on Circuits and Systems - I : Fundamental Theory and Applications, Vol. 45, no. 9, Sep. 1998, pp. 1007-1009.
Lirias number: 269032.

96-23

Suykens J.A.K., Vandewalle J., ``Master-slave synchronization of Lur'e systems'', International Journal of Bifurcation and Chaos, Vol. 7, no. 3, Mar. 1997, pp. 665-669.
Lirias number: 71758.

96-31

Suykens J.A.K., Vandewalle J., De Moor B., ``Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity'', IEEE Transactions on Automatic Control, vol. 44, no. 4, Apr. 1999, pp. 770-774.
Lirias number: 269033.

96-39

Suykens J.A.K., Vandewalle J., ``A type of dissipativity allowing multiple equilibria in recurrent neural networks of Lur'e form'', Technical Report 96-39, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1996.
Lirias number: 179621.

96-40

Suykens J.A.K., Lemmerling P., Favoreel W., De Moor B., Crepel M., Briol P., ``Modeling the Belgian gas consumption using neural networks'', Neural Processing Letters, Vol. 4, no. 3, Dec. 1996, pp. 157-166.
Lirias number: 71737.

96-41

Suykens J.A.K., Vandewalle J., ``Absolute stability and dissipativity of continuous time multilayer recurrent neural networks'', in Proc. of the 1997 IEEE International Symposium on Circuits and Systems (ISCAS'97), Hong Kong, Jun. 1997, pp. 517-520.
Lirias number: 179615.

96-44

Suykens J.A.K., Vandewalle J., De Moor B., ``NL_q theory: checking and imposing stability of recurrent neural networks for nonlinear modeling'', IEEE Transactions on Signal Processing, vol. 45, no. 11, Nov. 1997, pp. 2682-2691.
Lirias number: 218696.

96-45

Tan S., Suykens J.A.K., Yu Y., Vandewalle J., ``Nonlinear System Modeling'', in Chapter of Control and Dynamic Systems, (Leondes C.T., ed.), vol. 7 of Neural Network Systems Techniques and Applications, Academic Press (London, United Kingdom), 1998, pp. 383-433.
Lirias number: 179608.

96-48

Suykens J.A.K., Vandewalle J., De Moor B., ``Nonlinear H$_{\infty}$ control for continuous-time recurrent neural networks'', in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997.
Lirias number: 179605.

96-49

Verrelst H., Van Acker K., Suykens J.A.K., Motmans B., De Moor B., Vandewalle J., ``NL_q neural control theory: case study for a ball and beam system'', in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997.
Lirias number: 179603.

96-81

Suykens J.A.K., De Moor B., Vandewalle J., ``Robust NLq neural control theory'', in Proc. of the International Conference on Neural Networks (ICCN'97), Houston, Texas USA, Jun. 1997.
Lirias number: 179551.

96-82

Suykens J.A.K., Chua L.O., ``n-Double scroll hypercubes in 1D-CNNs'', International Journal of Bifurcation and Chaos, vol. 7, no.8, 1997, pp. 1873-1885.
Lirias number: 179549.

96-83

Suykens J.A.K., Vandewalle J., Chua L.O., ``Nonlinear H$_{\infty}$ synchronization of chaotic Lur'e systems'', International Journal of Bifurcation and Chaos, vol. 7, No. 6, Jun. 1997, pp. 1323-1335.
Lirias number: 179547.

96-84

Suykens J.A.K., Curran P.F., Chua L.O., ``Master-slave synchronization using dynamic output feedback'', International Journal of Bifurcation and Chaos, vol. 7, no. 3, Mar. 1997, pp. 671-679.
Lirias number: 179545.

96-85

Curran P.F., Suykens J.A.K., Chua L.O., ``Absolute stability theory and master-slave synchronization'', International Journal Bifurcation and Chaos, vol. 7, no. 12, Dec. 1997, pp. 2891-2896.
Lirias number: 179544.

96-86

Suykens J.A.K., Curran P.F., Yang T., Vandewalle J., Chua L.O., ``Nonlinear H$_{\infty}$ synchronization of Lur'e systems : dynamic output feedback case'', IEEE Transactions on Circuits and Systems-I, Fundamental Theory and Applications, vol. 44, no. 11, Nov. 1997, pp. 1089-1092.
Lirias number: 218697.

96-87

Suykens J.A.K., Huang A., Chua L.O., ``A family of n-scroll attractors from a generalized Chua's circuit'', Archive fur Elektronik und Ubertragungstechnik (International Journal of Electronics and Communications), Special Issue at the occasion of Prof. Lueder's 65th birthday, vol. 51, no. 3, May 1997, pp. 131-138.
Lirias number: 179543.

96-88

Suykens J.A.K., Curran P.F., Chua L.O., ``Robust synthesis for master-slave synchronization of Lur'e systems'', IEEE Transactions on Circuits and Systems-I, vol. 46, no. 7, Jul. 1999, pp. 841-850.
Lirias number: 179542.

96-89

Suykens J.A.K., Verrelst H.K.G., Vandewalle J., ``RBF networks and the Fokker-Planck learning machine'', Technical Report 96-89, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1996.
Lirias number: 179542.

96-91

Verrelst H., Van Acker K., Suykens J.A.K., Motmans B., De Moor B., Vandewalle J., ``Application of NL_q neural control theory to a ball and beam system'', European Journal of control, vol. 4, no. 3, Sep. 1998, pp. 148-157.
Lirias number: 179540.

97-03

Suykens J.A.K., Curran P.F., Vandewalle J., Chua L.O., ``Robust nonlinear H$_{\infty}$ synchronization of chaotic Lur'e systems'', IEEE Transactions on Circuits and Systems I : Fundamental Theory and Applications, Special Issue on Chaos Synchronization and Control : Theory and Applications, vol. 44, no. 10, Oct. 1997, pp. 891-904.
Lirias number: 179536.

97-06

Suykens J.A.K., Lemmerling P., Favoreel W., De Moor B., ``Models for the Belgian Gas and Electricity Consumption'', Technical Report 97-06, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1997.
Lirias number: 71271.

97-11

Munuzuri A., Suykens J.A.K., Chua L., ``Transition from chaos to periodicity in large homogeneous arrays of coupled nonlinear cells'', Technical Report 97-11, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1997.
Lirias number: 179533.

97-16

Favoreel W., Lemmerling P., Suykens J.A.K., De Moor B., Crepel M., Briol P., ``Modeling the Belgian gas consumption'', in Proc. of the European Control Conference (ECC97), Brussels, Belgium, Sep. 1997, 6 p.
Lirias number: 179360.

97-32

Suykens J.A.K., Verrelst H., Vandewalle J., ``On-line learning Fokker-Planck Machine'', Neural Processing Letters, vol. 7, no. 2, Apr. 1998, pp. 81-89.
Lirias number: 72690.

97-35

Suykens J.A.K., De Moor B., ``A continuous-time power method for the Riemannian SVD from constrained linear least squares'', Technical Report 97-35, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1997.
Lirias number: 179350.

97-57

Munuzuri A.P., Suykens J.A.K., Chua L.O., ``Chaos-periodicity transitions in a cellular array of generalized chua's circuits'', Technical Report 97-57, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1997.
Lirias number: 179333.

97-69

Munuzuri A.P., Suykens J.A.K., Chua L.O., ``A CNN approach to brain-like chaos-periodicity transitions'', International Journal of Bifurcation and Chaos, vol. 8, no. 11, Nov. 1998, pp. 2263-2278.
Lirias number: 179326.

97-71

Curran P.F., Suykens J.A.K., Chua L.O., ``Absolute stability criteria for Lur'e systems'', Technical Report 97-71, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1997.
Lirias number: 179325.

97-72

Suykens J.A.K., Munuzuri A.P., Vandewalle J., Chua L.O., ``Phenomena from CNNs with generalized Chua's circuits'', in Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA 97), Honolulu, Hawaii USA, Dec. 1997, pp. 205-208.
Lirias number: 179324.

97-77

Suykens J.A.K., De Moor B.L.R., Vandewalle J., ``Robust local stability of multilayer recurrent neural networks'', IEEE Transactions on Neural Networks, vol. 11, no. 1, Jan. 2000, pp. 222-229.
Lirias number: 269548.

97-78

Suykens J.A.K., Curran P.F., Vandewalle J., De Moor B.L.R., ``Multilayer perceptron based Lyapunov function for Lur'e systems'', Technical Report 97-78, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1997.
Lirias number: 269548.

97-83

Suykens J.A.K., Vandewalle J., Chua L.O., ``Nonlinear H$_{\infty}$ synchronization : case study for a hyperchaotic system'', in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS'98), Montery, California USA, Jun. 1998.
Lirias number: 179318.

97-88

Suykens J.A.K., Yang T., Chua L.O., ``Impulsive synchronization of chaotic Lur'e systems by measurement feedback'', International Journal of bifurcation and Chaos, vol. 8, no. 6, Jun. 1998, pp. 1371-1381.
Lirias number: 179315.

97-94

Yang T., Suykens J.A.K., Chua L.O., ``Impulsive control of nonautonomous chaotic systems using practical stabilization'', International Journal of Bifurcation and Chaos, vol. 8, no. 7, Jul. 1998, pp. 1557-1564.
Lirias number: 179311.

97-95

Suykens J.A.K., Vandewalle J., ``Improved generalization ability of neurocontrollers by imposing NLq stability constraints'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'98), Brugge, Belgium, Apr. 1998, pp. 99-104.
Lirias number: 179310.

98-06

Suykens J.A.K., Yang T., Vandewalle J., Chua L.O., ``Impulsive synchronization of Lur'e systems: state feedback case'', in Proc. of the IEEE Conference on Decision and Control (CDC'98), Tampa, Florida, Dec. 1998, pp. 1963-1966.
Lirias number: 179289.

98-07

Suykens J.A.K., Vandewalle J., ``Neural Network for Nonlinear Modeling and Control: an Introduction'', Technical Report 98-07, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179289.

98-21

Suykens J.A.K., Verrelst H., Cambre J., Vandewalle J., ``Information Geometry and the Fokker-Planck Machine'', Technical Report 98-21, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: x.

98-29

Suykens J.A.K., Vandewalle J., (eds.), Nonlinear Modeling: advanced black-box techniques, Kluwer Academic Publishers, 1998, 256 p.
Lirias number: 179175.

98-30

Suykens J.A.K., Vandewalle J., ``The K.U.Leuven time-series prediction competition'', in Chapter 9 of Nonlinear Modeling: advanced black-box techniques, (Suykens J.A.K., and Vandewalle J., eds.), Kluwer Academic Publishers, 1998, pp. 241-253.
Lirias number: 179174.

98-39

Verrelst H., Suykens J.A.K., Vandewalle J., ``The Fokker-Planck machine as deterministic ensemble annealing'', Technical Report 98-39, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179169.

98-48

Verrelst H., Suykens J.A.K., Vandewalle J., De Moor B., ``Bayesian Learning and the Fokker-Planck machine'', in Proc. of the International Workshop on Advanced Black-box Techniques for Nonlinear Modeling, Leuven, Belgium, Jul. 1998, pp. 55-61.
Lirias number: 179162.

98-56

Suykens J.A.K., Vandewalle J., ``Proceedings of the K.U.Leuven International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling (with time-series prediction competition)'', Technical Report 98-56, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179158.

98-71

Suykens J.A.K., Vandewalle J., ``Training multilayer perceptron classifiers based on a modified support vector method'', IEEE Transactions on Neural Networks, vol. 10, no. 4, Jul. 1999, pp. 907-911.
Lirias number: 218714.

98-72

Suykens J.A.K., Vandewalle J., ``Least squares support vector machine classifiers'', Neural Processing Letters, vol. 9, no. 3, Jun. 1999, pp. 293-300.
Lirias number: 218716.

98-79

Van Gestel T., Suykens J.A.K., De Lathauwer L., De Moor B., Depreter A., Crepel M., ``An Artificial Neural Network based Nonintrusive Load Monitor'', Technical Report 98-79, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179148.

98-81

McNames J., Suykens J.A.K., Vandewalle J., ``Winning Entry of the K.U.Leuven Time-Series Prediction Competition'', International Journal of Bifurcation and Chaos, vol. 9, no. 8, Aug. 1999, pp. 1485-1500.
Lirias number: 218718.

98-86

Suykens J.A.K., Vandewalle J., De Moor B., ``Optimal control by least squares support vector machines'', Neural Networks, vol. 14, no. 1, Jan. 2001, pp. 23-35.
Lirias number: 269556.

98-87

Suykens J.A.K., Vandewalle J., ``Chaos control using least squares support vector machines'', International Journal of Circuit Theory and Applications, Special Issue on Communications, Information Processing and Control using Chaos, vol. 27, no. 6, Nov. 1999, pp. 605-615.
Lirias number: 218719.

98-88

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Experimental confirmation of 3- and 5-scroll attractors from a generalized Chua's circuit'', IEEE Transactions on Circuits and Systems, Part I : Fundamental Theory and Applications, vol. 47, no. 3, Mar. 2000, pp. 425-429.
Lirias number: 218754.

98-90

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``On the realization of n-scroll attractors'', in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS'99), Orlando, Florida, May 1999, pp. 483-486.
Lirias number: 179144.

98-99

Suykens J.A.K., Vandewalle J., ``Recurrent least squares support vector machines'', IEEE Transactions on Circuits and Systems-I, vol. 47, no. 7, Jul. 2000, pp. 1109-1114.
Lirias number: 218755.

98-111

Curran P.F., Suykens J.A.K., ``Absolute stability criteria for Lur'e systems'', Technical Report 98-111, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179136.

98-112

Suykens J.A.K., Yang T., Vandewalle J., Chua L.O., ``Impulsive Control and Synchronization of Chaos'', in Chapter 13 of Controlling Chaos and Bifurcations in Engineering Systems, (Chen G., ed.), CRC Press (Boca Raton, USA), 1999, pp. 275-298.
Lirias number: 179135.

98-115

Suykens J.A.K., Vandewalle J., ``Multiclass Least Squares Support Vector Machines'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Washington DC, USA, Jul. 1999, pp. CD-rom.
Lirias number: 179133.

98-116

Suykens J.A.K., Vandewalle J., ``Continuous time NLq Theory : absolute stability criteria'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Washington DC, USA, Jul. 1999, pp. CD-rom.
Lirias number: 179132.

98-120

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Experimental confirmation of nonlinear Hinfty synchronization for Chua's circuit'', in Proc. of the European Conference on Circuit Theory and Design (ECCTD'99), Stresa, Italy, Sep. 1999, pp. 177-180.
Lirias number: 179124.

99-06

Suykens J.A.K., Vandewalle J., De Moor B., ``Global optimization by synchronization'', Technical Report 99-06, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1999.
Lirias number: 132453.

99-14

Suykens J.A.K., Lukas L., Van Dooren P., De Moor B., Vandewalle J., ``Least squares support vector machine classifiers : a large scale algorithm'', in Proc. of the European Conference on Circuit Theory and Design (ECCTD'99), Stresa, Italy, Sep. 1999, pp. 839-842.
Lirias number: 179107.

99-15

Van Gorp J., Suykens J.A.K., ``Representation of SISO Fuzzy logic control systems within NLq theory'', in Proc. of Smart Engineering System Design (ANNIE'99), St. Louis, Missouri USA, Nov. 1999, pp. 603-609.
Lirias number: 179106.

99-21

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Experimental confirmation of a nonlinear Hinfty synchronization scheme with 5-scroll attractors'', in Proc. of the International Workshop on nonlinear dynamics of electronic systems (NDES'99), Ronne, Denmark, Jul. 1999, pp. 257-260.
Lirias number: 179100.

99-22

Suykens J.A.K., Vandewalle J., ``Synchronization theory of Lur'e systems : an overview'', in Proc. of the International Workshop on nonlinear dynamics of electronic systems (keynote talk) (NDES'99), Ronne, Denmark, Jul. 1999, pp. 247-252.
Lirias number: 179099.

99-30

Van Gestel T., Suykens J.A.K., De Moor B., Van Overschee P., ``Identification of Stable and Positive Real Models using Matrix Inequalities in Subspace Methods'', Technical Report 99-30, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1999.
Lirias number: 179096.

99-37

Suykens J.A.K., Vandewalle J., ``Chaos Synchronization : a Lagrange Programming Network Approach'', International Journal of Bifurcation and Chaos, Special Issue on Chaos Control and Synchronization, vol. 10, no. 4, Apr. 2000, pp. 797-810.
Lirias number: 218756.

99-54

Suykens J.A.K., Vandewalle J., ``Generalized Synchronization : a Lagrange Programming Network Formulation'', in Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA'99), Waikoloa, Hawaii, USA, Dec. 1999, pp. 21-24.
Lirias number: 178982.

99-75

Van Gestel T., Suykens J.A.K., De Moor B., Baestaens D.-E., ``Volatility Tube Support Vector Machines'', Neural Network World, Special Issue on PASE 2000, vol. 10, no. 1-2, Jan. 2000, pp. 287-297.
Lirias number: 178970.

99-81

Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., ``Identification of stable models in subspace identification by using regularization'', IEEE Transactions on Automatic Control, vol. 46, no. 9, Sep. 2001, pp. 1416-1420.
Lirias number: 70635.

99-84

Suykens J.A.K., Lukas L., Vandewalle J., ``Sparse approximation using least squares support vector machines'', in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS 2000), Geneva, Switzerland, May 2000, pp. II757-II760.
Lirias number: 178964.

99-88

Vandewalle J., Suykens J.A.K., De Moor B., ``Non-linear circuit theory : from private playground for academic researchers to innovative information processing circuits'', in Dedicated to Leon O. Chua on the occasion of this 60th birthday Ad Sexagintas Annos Prospere Celebrandos, (Phua K.K., ed.), World Scientific (Singapore), 1998, pp. 155-157.
Lirias number: 178961.

99-93

Duhoux M., Suykens J.A.K., Mignon J., Vandewalle J., De Moor B., ``Improved long-term temperature prediction for a blast furnace using neural networks'', in Proc. of the ICSC Symposia on Engineering of Intelligent Systems (EIS2000), Paisley, UK, Jun. 2000, pp. 40-48.
Lirias number: 178955.

99-99

Suykens J.A.K., Lukas L., Vandewalle J., ``Sparse Least Squares Support Vector Machine Classifiers'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2000), Bruges, Belgium, 2000, pp. 37-42.
Lirias number: 178951.

99-100

Suykens J.A.K., Vandewalle J., ``The K.U.Leuven competition data : a challenge for advanced neural network techniques'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2000), Bruges, Belgium, 2000, pp. 299-304.
Lirias number: 178950.

99-102

Yalcin M., Suykens J.A.K., Vandewalle J., ``Hyperchaotic n-scroll attractors'', in Proc. of the IEEE Workshop on Nonlinear Dynamics of Electronic System (NDES 2000), Catania, Italy, May 2000, pp. 25-28.
Lirias number: 178947.

00-03

Viaene S., Baesens B., Van Gestel T., Suykens J.A.K., Dedene D., De Moor B., Vanthienen J., ``Least squares support vector machine classifiers : An empirical evaluation'', in Proc. of the 12th Belgian-Dutch Artificial Intelligence Conference (BNAIC'00), Kaatsheuvel, The Netherlands, Nov. 2000, pp. 69-79.
Lirias number: 178940.

00-07

Suykens J.A.K., ``Least squares support vector machines for classification and nonlinear modelling'', Neural Network World, Special Issue on PASE 2000, vol. 10, no. 1-2, Jan. 2000, pp. 29-48.
Lirias number: 178937.

00-30

Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., ``Imposing stability in subspace identification by regularization'', in Proc. of the 39th IEEE Conference on Decision and Control (CDC2000), Sydney, Australia, Dec. 2000, pp. 1555-1560.
Lirias number: 178920.

00-33

Baesens B., Viaene S., Van Gestel T., Suykens J.A.K., Van den Poel D., Vanthienen J., De Moor B., Dedene G., ``Knowledge discovery using least squares support vector machine classifiers : a direct marketing case'', in Proc. PKDD2000, Fourth European Conference on Principles of Knowledge Discovery in Databases, Lyon, France, Lyon, France, Sep. 2000, pp. 657-664.
Lirias number: 178916.

00-37

Van Gestel T., Suykens J.A.K., Baesens B., Viaene S., Vanthienen J., Dedene G., De Moor B., Vandewalle J., ``Benchmarking Least Squares Support Vector Machine Classifiers'', Machine Learning, vol. 54, no. 1, Jan. 2004, pp. 5-32.
Lirias number: 73836.

00-46

Govoreanu B., Suykens J.A.K., Schoenmaker W., Amza C., Vandewalle J., Profirescu M., ``A comparison between various empirical models for TCAD purposes'', in Proceedings of the 23rd International Semiconductor Conference, Sinaie, Romania, 2000, pp. 315-318.
Lirias number: 68667.

00-47

Schouten T., Suykens J.A.K., De Moor B., ``Multi resolution least squares SVM solver'', in Proc. of the 43rd IEEE Midwest Symposium on Circuits and Systems (MWSCAS2000), Lansing, Michigan, Aug. 2000, cdrom p.
Lirias number: 178785.

00-52

Baesens B., Viaene S., Van Gestel T., Suykens J.A.K., Dedene G., De Moor B., Vanthienen J., ``An Empirical assessment of Kernel Type Performance for Least Squares Support Vector Machine Classifiers'', in Proc. of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES2000), Brighton, UK, Aug. 2000, 4 p.
Lirias number: 178782.

00-55

Govoreaunu B., Schoenmaker W., Suykens J.A.K., ``On the use of Bayes' Theorem and Regularization Theory in Neural Networks Training. Case study : Application in TCAD'', Technical Report 00-55, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2000.
Lirias number: 176019.

00-56

Govoreanu B., Suykens J.A.K., Schoenmaker W., Vandewalle J., ``On the use of Bayesian Learning Neural Networks for TCAD Empirical Modeling'', Technical Report 00-56, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2000.
Lirias number: 176019.

00-64

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Mutual synchronization of Time Delay Lur'e systems'', in Proc. of the 2000 International Symposium on Nonlinear Theory and its Applications (NOLTA 2000), Dresden, Germany, Sep. 2000, pp. 241-244.
Lirias number: 178774.

00-65

Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., De Moor B., Vandewalle J., ``Bayesian Framework for Least Squares Support Vector Machine Classifiers, Gaussian Processes and Kernel Fisher Discriminant Analysis'', Neural Computation, vol. 15, no. 5, May 2002, pp. 1115-1148.
Lirias number: 70607.

00-73

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Master-Slave Synchronization of Lur'e systems with Time-Delay'', International Journal of Bifurcation and Chaos, vol. 11, no. 6, Jun. 2001, pp. 1707-1722.
Lirias number: 219146.

00-79

Van Gestel T., Suykens J.A.K., Baestaens D., Lambrechts A., Lanckriet G., Vandaele B., De Moor B., Vandewalle J., ``Financial Time Series Prediction using Least Squares Support Vector Machines within the Evidence Framework'', IEEE Transactions on Neural Networks, Special Issue on Neural Networks in Financial Engineering, vol. 12, no. 4, Jul. 2001, pp. 809-821.
Lirias number: 37858.

00-103

Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., De Moor B., Vandewalle J., ``Multiclass LS-SVMs : Moderated outputs and coding-decoding schemes'', Neural Processing Letters, vol. 15, no. 1, Feb. 2002, pp. 45-48.
Lirias number: 72092.

00-112

Van Gestel T., Suykens J.A.K., De Moor B., Vandewalle J., ``Automatic relevance determination for least squares support vector machine classifiers'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2001), Bruges, Belgium, Apr. 2001, pp. 13-18.
Lirias number: 178686.

00-117

Suykens J.A.K., De Brabanter J., Lukas L., Vandewalle J., ``Weighted least squares support vector machines : robustness and sparse approximation'', Neurocomputing, Special issue on fundamental and information processing aspects of neurocomputing, vol. 48, no. 1-4, Oct. 2002, pp. 85-105.
Lirias number: 47013.

00-118

Yalcin M., Ozoguz S., Suykens J.A.K., Vandewalle J., ``n-scroll chaos generators : a simple circuit model'', Electronics Letters, vol. 37, no. 3, Feb. 2001, pp. 147-148.
Lirias number: 219147.

00-122

Buijs J., Suykens J.A.K., De Moor B., ``Model Predictive Control : Convex Optimization Approaches Versus Constrained Dynamic Backpropagation'', in Proc. of the IFAC Conference on New Technologies for Computer Control (IFAC-NTCC2001), Hong Kong, Hong Kong, Nov. 2001, 8 p.
Lirias number: 178725.

00-124

Suykens J.A.K., Vandewalle J., De Moor B., ``Intelligence and Cooperative Search by Coupled Local Minimizers'', International Journal of Bifurcation and Chaos, vol. 11, no. 8, aug. 2001, pp. 2133-2144.
Lirias number: 269558.

00-125

Yalcin M., Ozoguz S., Suykens J.A.K., Vandewalle J., ``Families of Scroll Grid Attractors'', International Journal of Bifurcation and Chaos, vol. 12, no. 1, Jan. 2002, pp. 23-41.
Lirias number: 71035.

00-144

Viaene S., Baesens B., Van Gestel T., Suykens J.A.K., Van den Poel D., Dedene D., De Moor B., Vanthienen J., ``Knowledge discovery in a direct marketing case using least squares support vector machines'', International Journal of Intelligent Systems, Vol. 16, no. 9, 2001, pp. 1023-1036.
Lirias number: 71106.

01-05

Duhoux M., Suykens J.A.K., De Moor B., Vandewalle J., ``Improved long-term temperature prediction by chaining of neural networks'', International Journal of Neural Systems, vol. 11, no. 1, Jan. 2001, 10 p.
Lirias number: 178687.

01-06

Van Gestel T., Suykens J.A.K., De Moor B. Vandewalle J., ``Automatic relevance determination for Least squares support vector machine regression'', in Proc. of the International Joint Conference on neural networks (IJCNN'01), Washington DC, USA, Jul. 2001, pp. 2416-2421.
Lirias number: 209700.

01-07

Van Gestel T., Suykens J.A.K., De Brabanter J., De Moor B., Vandewalle J., ``Least squares support vector machine regression for discriminant analysis'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'01), Washington DC, USA, Jul. 2001, pp. 2445-2450.
Lirias number: 178685.

01-08

Suykens J.A.K., ``Learning and generalization by coupled local minimizers'', in Proc. of the International Joint Conference on Neural Networks - invited talk (IJCNN'01), Washington DC, USA, Jul. 2001, pp. 337-341.
Lirias number: 178684.

01-13

Yalcin M., Ozoguz S., Suykens J.A.K., Vandewalle J., ``2D-Grid Scroll Attractors'', in Proc. of the 9th Workshop on Nonlinear Dynamics of Electronic systems (NDES 2001), Delft, The Netherlands, Jun. 2001, pp. 181-184.
Lirias number: 178683.

01-14

Yalcin M., Ozoguz S., Suykens J.A.K., Vandewalle J., ``3D-Grid Scroll Attractors'', in Proc. of the 15th European Conference on Circuit Theory and Design (ECCTD'01), Helsinki, Finland, Aug. 2001, pp. III-425-III-428.
Lirias number: 178673.

01-15

Suykens J.A.K., Vandewalle J., ``CNNs, Intelligence and Synchronization Theory'', in Proc. of the 15th European Conference on Circuit Theory and Deisgn (ECCTD'01), Helsinki, Finland, Aug. 2001, pp. II-273-II-276.
Lirias number: 178672.

01-18

Suykens J.A.K., ``Nonlinear modelling and support vector machines'', in Proc. of the IEEE International Conference on Instrumentation and Measurement Technology (IEEE-IMTC 2001 State-of-the-Art lecture), Budapest, Hungary, May 2001, pp. 287-294.
Lirias number: 178669.

01-23

Suykens J.A.K., Yalcin M.E., Vandewalle J., ``A Generic Class of Chaotic and Hyperchaotic Circuits with Synchronization Methods'', in Chapter 8 of Chaos and Bifurcations in Circuits and Systems, (Chen G., and Ueta T., eds.), vol. 11 of World Scientific Series on Nonlinear Science, Series B, World Scientific (Singapore, New Jersey), 2002, pp. 151-170.
Lirias number: 178666.

01-24

Van Gestel T., Suykens J.A.K., De Brabanter J., De Moor B., Vandewalle J., ``Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines'', in Proc. of the International Conference on Artificial Neural Networks (ICANN 2001), Vienna, Austria, Aug. 2001, pp. 381-386.
Lirias number: 47436.

01-28

Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., Baestaens D., De Moor B., Vandewalle J., ``Bayesian interpretation of least squares support vector machines for financial time series prediction'', in Proc. of the 5th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2001), Orlando, Florida, Jul. 2001, pp. 254-259.
Lirias number: 178492.

01-39

Markovsky I., Suykens J.A.K., Van Huffel S., ``Linear parametric design'', Technical Report 01-39, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2001.
Lirias number: 12976.

01-42

Suykens J.A.K., ``Support Vector Machines : a nonlinear modelling and control perspective'', European Journal of Control, Special Issue on fundamental issues in control, vol. 7, no. 2-3, Aug. 2001, pp. 311-327.
Lirias number: 182428.

01-71

Lukas L., Suykens J.A.K., Vandewalle J., ``Least squares support vector machines classifiers : a multi two-spiral benchmark problem'', in Proc. of the Indonesian Student Scientific Meeting (ISSM 2001), Manchester, United Kingdom, Aug. 2001, pp. 289-292.
Lirias number: 182411.

01-110

Hamers B., Suykens J.A.K., De Moor B., ``A comparison of iterative methods for least squares support vector machine classifiers'', Technical Report 01-110, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2001.
Lirias number: 73035.

01-111

Teugels A., De Roeck G., Suykens J.A.K., ``Updating of finite element models using coupled local minimizers (CLM)'', in Proc. of the 3rd International Conference on Identification in Engineering Systems, Swansea, UK, Apr. 2002, pp. 280-289.
Lirias number: 182356.

01-113

Suykens J.A.K., Vandewalle J., ``On the difference between recurrent LS-SVM and parameterized recurrent kernel models'', Technical Report 01-113, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2001.
Lirias number: 195011.

01-114

Suykens J.A.K., Vandewalle J., ``Coupled local minimizers : alternative formulations and extensions'', in Proc. of the World Congress on Computational Intelligence- International Joint Conference on Neural Networks (WCCI-IJCNN 2002), Honolulu, USA, May 2002, pp. 2039-2043.
Lirias number: 182355.

01-121

Van Gestel T., Suykens J.A.K., De Moor B., Vandewalle J., ``Bayesian inference for LS-SVMs on large data sets using the Nystrom method'', in Proc. of the World Congress on Computational Intelligence - International Joint Conference on Neural Networks (WCCI-IJCNN 2002), Honolulu, USA, May 2002, pp. 2779-2784.
Lirias number: 182347.

01-122

Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A., Majos C., Arus C., ``The use of LS-SVM in the classification of brain tumors based on magnetic resonance spectroscopy signals'', in Proc. of the European Symposium Artificial Neural Networks (ESANN'2002), Bruges, Belgium, Apr. 2002, pp. 131-136.
Lirias number: 182346.

01-132

Teughels A., De Roeck G., Suykens J.A.K., ``CLM, a global optimisation method applied to FEM updating'', in Proc. of the 5th European Conference on Structural Dynamics (EURODYN 2002), Munich, Germany, Sep. 2002, pp. 1555-1560.
Lirias number: 182330.

01-133

Ameye L., Lu C., Lukas L., De Brabanter J., Suykens J.A.K., Van Huffel S., Daniels H., Naulaers G., Devlieger H., ``Prediction of mental development of preterm newborns at birth time using LS-SVM'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2002), Bruges, Belgium, Apr. 2002, pp. 167-172.
Lirias number: 182329.

02-44

Pelckmans K., Suykens J.A.K., Van Gestel T., De Brabanter J., Lukas L., Hamers B., DE Moor B., Vandewalle J., ``LS-SVMlab : a Matlab/C toolbox for Least Squares Support Vector Machines'', Technical Report 02-44, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002.
Lirias number: 21472.

02-46

Hamers B., Suykens J.A.K., De Moor B., ``Compactly supported RBF kernels for sparsifying the Gram matrix in LS-SVM regression models'', in Proceedings ICANN 2002, Madrid, Spain, Aug. 2002, pp. 720-726.
Lirias number: 72003.

02-50

De Brabanter J., Pelckmans K., Suykens J.A.K., Vandewalle J., ``Robust cross-validation score function for non-linear function estimation'', in Proc. of the International Conference on Artificial Neural Networks (ICANN 2002), Madrid, Spain, Aug. 2002, pp. 713-719.
Lirias number: 182118.

02-55

Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergote I., Timmerman D., ``Preoperative prediction of malignancy of ovarium tumor using least squares support vector machines'', Artificial Intelligence in Medicine, vol. 28, no. 3, Jul. 2003, pp. 281-306.
Lirias number: 21371.

02-58

Yalcin M.E., Ozoguz S., Suykens J.A.K. and Vandewalle J., ``Scroll maps from n-scroll attractors'', in Proc. of the 10th International Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2002), Izmir, Turkey, Jun. 2002, pp. 45-48.
Lirias number: 182112.

02-68

Suykens J.A.K., Van Gestel T., Vandewalle J., De Moor B., ``A support vector machine formulation to PCA analysis and its kernel version'', IEEE Transactions on Neural Networks, vol. 14, no. 2, Mar. 2003, pp. 447-450.
Lirias number: 74086.

02-88

Teughels A., De Roeck G., Suykens J.A.K., ``Global optimization in FEM updating by coupled local minimizers'', in Proc. of the International Conference on Noise and Vibration Engineering (ISMA 2002), Leuven, Belgium, Sep. 2002.
Lirias number: 182077.

02-94

De Brabanter J., Pelckmans K., Suykens J.A.K., Vandewalle J., De Moor B., ``Robust cross-validation score function for LS-SVM non-linear function estimation'', Technical Report 02-94, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002.
Lirias number: 21195.

02-104

Goethals I., Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., ``Identification of Positive Real Models in Subspace Identification by using Regularization'', IEEE Transactions on Automatic Control, vol. 48, no. 10, Oct. 2003, pp. 1843-1847.
Lirias number: 70928.

02-105

Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergrote I., Timmerman D., ``Bayesian Least Squares Support Vector Machines for Classification of Ovarian Tumors'', in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004.
Lirias number: 182060.

02-108

Suykens J.A.K., Van Gestel T., De Brabanter J., De Moor B., Vandewalle J., Least Squares Support Vector Machines, World Scientific Publishing Co., Pte, Ltd. (Singapore), (ISBN : 981-238-151-1), 2002.
Lirias number: 182059.

02-112

Van Gestel T., Baesens B., Suykens J.A.K., Espinoza M., Baestaens D., Vanthienen J., De Moor B., ``Bankruptcy Prediction with Least Squares Support Vector Machine Classifiers'', in Proc. of the International Conference on Computational Intelligence for Financial Engineering (CIFER'03), Hong Kong, China, Mar. 2003, pp. 1-8.
Lirias number: 118391.

02-127

Van Gestel T., Baesens B., Suykens J.A.K., Van den Poel D., Baestaens D.E., Willekens M., ``Bayesian kernel based classification for financial distress detection'', European Journal of Operational Research, vol. 172, no. 3, Aug. 2006, pp. 979-1003.
Lirias number: 101348.

02-132

Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A.R., Majos C., Arus C., ``The use of LS-SVM in the classification of brain tumors base on 1H-MR spectroscopy signals'', in Proceedings of IEE Workshop 'Medical Applications of Signal Processing', Savoy Place, London, UK, Oct. 7, 2002, pp. 15/1-15/5.
Lirias number: 181773.

02-143

Teughels A., De Roeck G., Suykens J.A.K., ``Global optimization by coupled local minimizers and its applications to FE model updating'', Computers and Structures, vol. 81, no. 24-25, sep. 2003, pp. 2337-2351.
Lirias number: 36459.

02-144

Suykens J.A.K.,Yalcin M., Vandewalle J., ``Chaotic systems synchronization'', in Chaos and Bifurcation Control : Theory and Applications, (Chen G., Yu X. and Hill D., eds), vol. 292 of Lecture notes in control and information sciences, Springer-Verlag, 2003, pp. 117-135.
Lirias number: 181766.

02-145

Pelckmans K., Suykens J.A.K., Van Gestel T., De Brabanter J., Lukas L., Hamers B., De Moor B., Vandewalle J., ``LS-SVMlab Toolbox User's Guide'', Technical Report 02-145, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002.
Lirias number: 181766.

02-151

Van Gestel T., Espinoza M., Suykens J.A.K., Brasseur C., De Moor B., ``Bayesian Nonlinear Kernel Based Stock Market Prediction'', Technical Report 02-151, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002.
Lirias number: 181762.

02-152

Ameye L., Van Huffel S., De Brabanter J., Suykens J.A.K., Spitz B., Cadron I., Devlieger R., Timmerman D., ``Study of rupture of membranes before 26 weeks of gestation'', in Proc. of the 2nd European Medical and Biological Engineering Conference (EMBEC'02), Vienna, Austria, Dec. 2002, pp. 760-761.
Lirias number: 181761.

02-190

Van Gestel T., Espinoza M., Suykens J.A.K., De Moor B., ``Bayesian input selection for nonlinear regression with LS-SVMs'', in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 578-583.
Lirias number: 181736.

02-193

Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergote I., Timmerman D., ``Classification of ovarian tumor using Bayesian least squares support vector machines'', in Artificial Intelligence in Medicine, (Dojat M., Keravnou E., and Barahona P., eds.), Proc. of the 9th Conference on Artificial Intelligence in Medicine in Europe (AIME 2003), Protaras, Cyprus, October 2003, vol. 2780 of Lecture Notes in Artificial Intelligence, Springer-Verlag, 2003, pp. 219-228.
Lirias number: 181734.

02-197

Suykens J.A.K., Yalcin M.E., Vandewalle J., ``Coupled Chaotic Simulated Annealing Processes'', in Proc. of the 2003 IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand, May 2003, pp. II-582--III-585.
Lirias number: 181730.

02-199

Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., ``Subspace regression in reproducing kernel Hilbert space'', in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 839-842.
Lirias number: 181729.

02-200

De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., Vandewalle J., ``Robust complexity criteria for nonlinear regression in NARX models'', in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 79-84.
Lirias number: 181728.

02-202

Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., ``An LMI-based constrained MPC scheme with time-varying terminal cost'', in Proc. of the International Symposium on Advanced Control of Chemical Processes 2003 (ADCHEM03), Hong Kong, China, Jan. 2004, pp. CD-ROM.
Lirias number: 181726.

02-204

Goethals I., Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., ``Identifying positive real models in subspace identification by using regularization'', in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 1411-1416.
Lirias number: 181725.

02-213

Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., ``Kernel PLS variants for regression'', in Proc. of the 11th European Symposium on Artificial Neural Networks, Bruges, Belgium, Apr. 2003, pp. 203-208.
Lirias number: 181721.

02-230

Govoreanu B., Suykens J.A.K., Schoenmaker W., Dima G., Vandewalle J., Profirescu M., ``On the use of Bayesian Learning Neural Networks for TCAD Empirical modeling'', Romanian Journal of Information Science and Technology, vol. 5, no. 4, 2002, pp. 329-338.
Lirias number: 181710.

03-08

Baesens B., Van Gestel T., Viaene S., Stepanove M., Suykens J.A.K., Vanthienen J., ``Benchmarking state of the art classification algorithms for credit scoring'', Journal of the Operational Research Society, vol. 54, no. 6, Jun. 2003, pp. 627-635.
Lirias number: 71719.

03-12

Hamers B., Suykens J.A.K., Leemans V., De Moor B., ``Ensemble Learning of Coupled Parmeterised Kernel Models'', in Supplementary Proc. of the International Conference on Artificial Neural Networks and International Conference on Neural Information Processing (ICANN/ICONIP), Istanbul, Turkey, Jun. 2003, pp. 130-133.
Lirias number: 181460.

03-16

Suykens J.A.K., Horvath G., Basu S., Micchelli C., Vandewalle J., (eds.), Advances in Learning Theory : Methods, Models and Applications, vol. 190 of NATO-ASI Series III : Computer and Systems Sciences, IOS Press (Amsterdam, The Netherlands), (ISBN 1-58603-341-7), 2003, 436 p.
Lirias number: 181454.

03-17

Suykens J.A.K., Van Gestel T., De Brabanter J., De Moor B., Vandewalle J., ``Support Vector Machines : Least Squares Approaches and Extensions'', in Chapter 8 of Advances in Learning Theory : Methods, Models and Applications, (Suykens J.A.K., Horvath G., Basu S., Micchelli C. and Vandewalle J., eds.), IOS Press (NATO-ASI Series in Computer and Systems Sciences) (Amsterdam, The Netherlands), 2003, pp. 155-178.
Lirias number: 181452.

03-18

Espinoza M., Suykens J.A.K., De Moor B., ``Least Squares Support Vector Machines and Primal Space Estimation'', in Proc. of the IEEE 42nd Conference on Decision and Control (CD-ROM), Maui, USA, Dec. 2003, pp. 3451-3456.
Lirias number: 181450.

03-40

Xavier de Souza S., Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Automatic chip-spcific CNN template optimization using adaptive simulated Annealing'', in Proc. of the 16th European Conference on Circuit Theory and Design (ECCTD'03), Cracow, Poland, sep. 2003, pp. II-329---II-332.
Lirias number: 181415.

03-53

Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., ``LMI-based MPC with time-varying terminal cost for constrained nonlinear systems : stability, feasibility and performance'', Technical Report 03-53, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2003.
Lirias number: 73270.

03-79

Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Tate A.R., Arus C., Van Huffel S., ``Brain Tumour Classification based on long echo proton MRS signals'', Artificial Intelligence in Medicine, vol. 31, 2004, pp. 73-89.
Lirias number: 71417.

03-80

Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., ``Variogram based noise variance estimation and its use in Kernel Based Regression'', in Proc. of the IEEE Workshop on Neural Networks for Signal Processing, pp. 199-208.
Lirias number: 181356.

03-84

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``True Random Bit Generation from a Double Scroll Attractor'', IEEE Transactions on Circuits and Systems I : Fundamental Theory and Applications, vol. 51, no. 7, Jul. 2004, pp. 1395-1404.
Lirias number: 73970.

03-92

Espinoza M., Suykens J.A.K., De Moor B., ``Fixed-Size Least Squares Support Vector Machines : A large Scale application in electrical load forecasting'', Computational Management Science , Special Issue on Support Vector Machines, vol. 3, no. 2, Apr. 2006, pp. 113-129.
Lirias number: 181339.

03-96

Xavier De Sousa S., Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Report on Fault-tolerant and robust APAP algorithm design'', Technical Report 03-96, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2003.
Lirias number: 181339.

03-104

Xavier de Souza S., Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Toward CNN Chip-specific robustness'', IEEE Transactions on Circuits and Systems I : Regular Papers, Special Issue on CNN Technology and Active Wave Computing, vol. 51, no. 5, May 2004, pp. 892 - 902.
Lirias number: 72186.

03-106

De Bie T., Suykens J.A.K., De Moor B., ``Learning from general label constraints'', in Proc. of the joint IAPR international workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (SSSPR 2004), Lisbon, Portugal,, vol. 3138, Aug. 2004, pp. 671-679.
Lirias number: 60124.

03-122

Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Tate A.R., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Arus C., Van Huffel S., ``Classification of brain tumours using short echo time 1H MRS spectra'', Journal of Magnetic Resonance, vol. 170 , no. 1, Sep. 2004, pp. 164-175.
Lirias number: 73559.

03-127

Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., ``Constrained LMI-based MPC using Convex Combinations of a set of terminal costs and constraints'', Technical Report 03-127, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2003.
Lirias number: 73592.

03-134

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``A double scroll based true random bit generator'', in Proc. of the 2004 IEEE International Symposium on Circuits and Systems (ISCAS), Vancouver, Canada, May 2004, pp. IV-581-IV-584.
Lirias number: 181107.

03-171

Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., ``Subset based least squares subspace regression in RKHS'', Neurocomputing, vol. 63, Jan. 2005, pp. 293-323.
Lirias number: 72676.

03-172

Hamers B., Suykens J.A.K., De Moor B., ``Coupled Transductive Ensemble Learning of Kernel Models'', Technical Report 03-172, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2003.
Lirias number: 72676.

03-176

Pochet N., De Smet F., Suykens J.A.K., De Moor B., ``Systematic benchmarking of micorarray data classification : assessing the role of nonlinearity and dimensionality reduction'', Bioinformatics, vol. 20, no. 17, Nov. 2004, pp. 3185-3195.
Lirias number: 12131.

03-181

Devos A., Simonetti A.W., van der Graaf M., Lukas L., Suykens J.A.K., Vanhamme L., Buydens L.M.C., Heerschap A., Van Huffel S., ``The use of multivariate MR Imaging Intensities versus metabolic data from MR Spectroscopic Imaging for MR spectroscopic imaging for brain tumour classification'', Journal of Magnetic Resonance, vol. 173, no. 2, Apr. 2005, pp. 218-228.
Lirias number: 73849.

03-184

Pelckmans K., Suykens J.A.K., De Moor B., ``Additive regularization Trade-off : Fusion of Training and Validation levels in Kernel Methods'', Machine Learning, vol. 62, no. 3, Mar. 2006, pp. 217-252.
Lirias number: 71003.

03-188

Pelckmans K., Suykens J.A.K., De Moor B., ``Sparse LS-SVMs using additive Regularization with a penalized validation criterion'', in Proc. of the 12e European Symposium on Artificial Neural Networks, Brugge, Belgium, Apr. 2004, pp. 435-440.
Lirias number: 181032.

04-04

Cadron I., Spitz B., Devlieger R., Ameye L., Van Huffel S., De Brabanter J., Suykens J.A.K., Timmerman D., ``Can we predict survival in cases of Preterm prelabor rupture of the membranes (PPROM) before 26 weeks of gestation ?'', Technical Report 04-04, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: x.

04-12

Lu C., Suykens J.A.K., Timmerman D., Vergote I., Van Huffel S., ``Linear and Nonlinear Preoperative Classification of Ovarian Tumors'', in Chapter 11 of Knowledge Based Intelligent System for Health Care, (Ichimura T. and Yoshida K. , ed.), vol. 7 of International Series on Advanced Intelligence, Advanced Knowledge International (Magill, Australia), 2004, pp. 343-382.
Lirias number: 181000.

04-17

Espinoza M., Pelckmans K., Hoegaerts L., Suykens J.A.K., De Moor B., ``A comparative study of LS-SVMs applied to the Silver box identification problem'', in Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2004), Stuttgart, Germany, Sep. 2004.
Lirias number: 180990.

04-21

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Experimental observation of autowaves on the ACE16k CNN chip'', in Proc. of the 8th IEEE International Workshop on Cellular Neural Networks and their applications (CNNA 2004), Budapest, Hungary,, Jul. 2004, pp. 172-177.
Lirias number: 180986.

04-27

Pluymers B., Suykens J.A.K., De Moor B., ``Linear MPC with Time-Varying terminal cost using sparse convex combinations and bisection searching'', in Proc. of the IEEE Conference on Decision and Control 2004 (CDC04), Paradise Island, Bahamas, Dec. 2004.
Lirias number: 180974.

04-28

Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., ``Constrained linear MPC with time-varying terminal cost using convex combinations'', Technical Report 04-28, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: 180974.

04-30

Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., ``Primal space sparse kernel partial least squares regression for large scale problems'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2004), Hungary, Budapest, Jul. 2004, pp. 561-566.
Lirias number: 180972.

04-31

Hoegaerts L., De Lathauwer L., Suykens J.A.K., Vandewalle J., ``Efficiently updating and tracking the dominant Kernel Eigenspace'', in Proc. of the the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004.
Lirias number: 180970.

04-38

De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., Vandewalle J., ``Robust statistics for Kernel Based NARX Modeling'', Technical Report 04-38, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: 180959.

04-39

Pelckmans K., Suykens J.A.K., De Moor B., ``Regularization constants in LS-SVMs : a fast estimate via convex optimization'', in Proc. of the International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, Jul. 2004, pp. 699-704.
Lirias number: 180958.

04-40

Goethals I., Pelckmans K., Suykens J.A.K., De Moor B., ``NARX identification of Hammerstein Models using least squares support vector machines'', in Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2004), Stuttgart, Germany, Sep. 2004, pp. 507-512.
Lirias number: 180956.

04-41

Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., ``The differogram : Nonparametric noise variance estimation and its use for model'', Neurocomputing, Special Issue on Signal Processing, vol. 69, no. 1-3, Dec. 2005, pp. 100-122.
Lirias number: 47852.

04-45

Goethals I., Pelckmans K., Suykens J.A.K., De Moor B., ``Identification of MIMO Hammerstein Models using Least Squares Support Vector Machines'', Automatica, vol. 41, no. 7, Jul. 2005, pp. 1263-1272.
Lirias number: 72243.

04-46

Xavier de Souza S., Suykens J.A.K., Vandewalle J., ``Real-time tracking algorithm with locking on a given object for VLSI CNN-UM implementations'', in Proc. of the 8th International Workshop on Cellular Neural Networks and their Applications (CNNA 2004), Budapest, Hungary, Jul. 2004, pp. 291-296.
Lirias number: 180946.

04-56

Pluymers B., Suykens J.A.K., De Moor B., ``Robust finite-horizon MPC using optimal worst-case closed-loop predictions'', in Proc. of the IEEE Conference on Decision and Control 2004 (CDC04), Paradise Island, Bahamas, Dec. 2004.
Lirias number: 180688.

04-57

Espinoza M., Suykens J.A.K., De Moor B., ``Partially Linear Models and Least Squares Support Vector Machines'', in Proc. of the 43rd IEEE Conference on Decision and Control (CDC), Paradise City, Bahamas, Dec. 2004.
Lirias number: 180686.

04-75

Pelckmans K., Goethals I., De Brabanter J., Suykens J.A.K., De Moor B., ``Componentwise Least Squares Support Vector Machines'', in Chapter Support Vector Machines: Theory and Applications, (Wang L., ed.), Springer, 2005, pp. 77-98.
Lirias number: 180657.

04-76

Pelckmans K., Suykens J.A.K., De Moor B., ``Morozov, Ivanov and Tikhonov regularization based LS-SVMs'', in Proc. of the11th International Conference on Neural Information Processing (ICONIP 2004), Calcutta, India, Nov. 2004, pp. .
Lirias number: 180655.

04-88

Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., ``A comparison of pruning algorithms for sparse least squares support vector machines'', in Proceedings of the 11th International Conference on Neural Information Processing (ICONIP 2004), Calcutta, India, vol. 3316, Nov. 2004, pp. 1247-1253.
Lirias number: 71636.

04-91

Pelckmans K., Suykens J.A.K., De Moor B., ``Alpha and beta stability for additively regularized LS-SVMs via convex optimization'', in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Leuven, Belgium, Jul. 2004.
Lirias number: 180628.

04-94

Pluymers B., Suykens J.A.K., De Moor B., ``Min-Max feedback MPC using a time-varying terminal constraint set and comments on 'efficient robust constrained model predictive control with a time-varying terminal constraint set''', Systems and Control Letters, vol. 54, no. 12, Dec. 2005, pp. 1143-1148.
Lirias number: 74045.

04-99

Verdult V., Suykens J.A.K., Boets J., Goethals I., De Moor B., ``Least Squares Support Vector Machines for Kernel CCA in Nonlinear State-Space Identification'', in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004.
Lirias number: 180615.

04-108

Pelckmans K., Espinoza M., De Brabanter J., Suykens J.A.K., De Moor B., ``Primal-Dual Monotone Kernel Regression'', Neural Processing Letters, vol. 22, no. 2, Oct. 2005, pp. pp. 171-182.
Lirias number: 46647.

04-109

Pelckmans K., De Brabanter J., Suykens J.A.K, De Moor B., ``Maximal Variation and Missing Values for Componentwise Support Vector Machines'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2005), Montreal, Canada, Aug. 2005, pp. .
Lirias number: 180598.

04-110

Espinoza M., Suykens J.A.K., De Moor B., ``Kernel Based Partially Linear Models and Nonlinear Identification'', IEEE Transactions on Automatic Control, Special Issue on System Identification, vol. 50, no. 10, Oct. 2005, pp. 1602-1606.
Lirias number: 70714.

04-114

Goethals I., Pelckmans K., Suykens J.A.K., De Moor B., ``Subspace Identification of Hammerstein Systems using Least Squares Support Vector Machines'', IEEE Transactions on Automatic Control, Special Issue on System Identification, vol. 50, no. 10, Oct. 2005, pp. 1509- 1519.
Lirias number: 70730.

04-116

Ameye L., De Brabanter J., Suykens J.A.K., Cadron I., Devlieger R., Timmerman D., Spitz B., Van Huffel S., ``Predictive models for survival after premature rupture of membranes'', Technical Report 04-116, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: x.

04-129

Pelckmans K., Suykens J.A.K., De Moor B., ``Building Sparse Representations and Structure Determination on LS-SVM Substrates'', Neurocomputing, Special Issue, vol. 64, Mar. 2005, pp. 137-159.
Lirias number: 180580.

04-130

Van Gestel T., Baesens B.M., Van Dijcke P., Garcia J., Suykens J.A.K., Vanthienen J., ``A process model to develop an internal rating system: sovereign credit ratings'', Technical Report 04-130, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: 180580.

04-135

Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., ``The Efficient Computation of Polyhedral Invariant Sets for Linear Systems with Polytopic Uncertainty'', in Proc. of the American Control Conference 2005 (ACC2005), Portland, USA, Jun. 2005, pp. 804-809.
Lirias number: 180566.

04-136

Pluymers B., Rossiter J.A., Suykens J.A.K, De Moor B., ``A Simple Algorithm for Robust MPC'', in Proc. of the IFAC World Congress (IFAC05), Prague, Czech Republic, Jul. 2005, pp. CD-ROM.
Lirias number: 180564.

04-140

Van Gestel T., Espinoza M., Baesens B., Suykens J.A.K, Brasseur C., De Moor B., ``A Bayesian Nonlinear Support Vector Machine Error Correction Model'', Journal of Forecasting, vol. 25, no. 2, Mar. 2006, pp. 77-100.
Lirias number: 71910.

04-144

Rossiter J.A., Pluymers B., Suykens J.A.K., De Moor B., ``A Multi Parametric Quadratic Programming Solution To Robust Predictive Control'', in Proc. of the IFAC World Congress (IFAC05), Prague, Czech Republic, Jul. 2005.
Lirias number: 180554.

04-145

Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., ``Interpolation Based MPC for LPV Systems using Polyhedral Invariant Sets'', in Proc. of the American Control Conference 2005 (ACC2005), Portland, USA, Jun. 2005, pp. 810-815.
Lirias number: 180552.

04-161

Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., ``Constrained Linear MPC with Time-Varying Terminal Cost using Convex Combinations'', Automatica, vol. 41, no. 5, May 2005, pp. 831-837.
Lirias number: 70859.

04-170

Yalcin M.E., Suykens J.A.K., Vandewalle J., ``Spatiotemporal pattern formation in the ACE16k CNN Chip'', in Proc. of the 2005 IEEE International Symposium on Circuits and Systsems (ISCAS 2005), Kobe, Japan, May 2005, pp. 5814-5817.
Lirias number: 182038.

04-171

Arena P., Fortuna L., Frasca M., Vagliasindi G., Basile A., Yalcin M. E., Suykens J.A.K., ``CNN wave based computation for robot navigation on ACE16K'', in 2005 IEEE International Symposium on Circuits and Systems, 4 p.
Lirias number: 182032.

04-176

Lu C., Devos A., Suykens J.A.K., Arus C., Van Huffel S., ``Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis'', IEEE Transactions on information technology in biomedicine, vol. 11, no. 3, May 2007, pp. 338-347.
Lirias number: 70579.

04-195

Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., ``M@CBETH: a microarray classification benchmarking tool'', Bioinformatics, vol. 21, no. 14, Jul. 2005, pp. 3185-3186.
Lirias number: 11835.

04-200

Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., van der Graaf M., Tate A.R., Arus C., Van Huffel S., ``Brain tumour classification using short echo time 1H MRS. Objective comparison of classification techniques (LDA, LS-SVM).'', Proc. of the 12th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 04), Kyoto, Japan, May 2004, 1 p.
Lirias number: 182010.

04-230

Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., ``Reduced Complexity Polyhedral Invariant Sets for LPV Systems'', Technical Report 04-230, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: 70509.

04-231

Rossiter J.A., Ding Y., Xi L., Pluymers B., Suykens J.A.K., De Moor B., ``Interpolation Based MPC with Exact Constraint Handling : the Nominal Case'', Technical Report 04-231, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: 70509.

04-232

Rossiter J.A., Ding Y., Pluymers B., Suykens J.A.K., De Moor B., ``Interpolation Based MPC with Exact Constraint Handling : the Uncertain Case'', in Proc. of the Joint IEEE Conference on Decision and Control and European Control Conference (CDC-ECC05), Sevilla, Spain, Dec. 2005, pp. 302-307.
Lirias number: 181975.

04-238

D'hulst R., Verhaegen K., Barjas Blanco T., Suykens J.A.K., Driesen J., Vandewalle J., Belmans R., ``Teaching in Green Power Production and Prediction of Electricity Consumption'', in Proc. of the IEEE Power Engineering Society (IEEE-PES), San Francisco, USA, May 2005, pp. 6-8.
Lirias number: 1690937.

05-01

Hoegaerts L., De Lathauwer L., Goethals I., Suykens J.A.K., Vandewalle J., De Moor B., ``Efficiently Updating and Tracking the Dominant Kernel Principal Components'', Neural Networks, vol. 20, no. 2, Mar. 2007, pp. 220-229.
Lirias number: 70922.

05-02

Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., ``M@CBETH Tutorial - a MicroArray Classification BEnchmarking Tool on a Host server'', Technical Report 05-02, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-19

Espinoza M., Suykens J.A.K., De Moor B., ``Load Forecasting using Fixed-Size Least Squares Support Vector Machines'', in Computational Intelligence and Bioinspired Systems, (Cabestany J., Prieto A., and Sandoval F., eds.), Proceedings of the 8th International Work-Conference on Artificial Neural Networks, vol. 3512 of Lecture Notes in Computer Science, Springer-Verlag, 2005, pp. 1018-1026.
Lirias number: 74096.

05-26

Alzate C., Suykens J.A.K., ``Extending Kernel Principal Component Analysis to General Underlying Loss Functions'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'05), Montr?al, Canada, Jul. 2005, pp. 214-219.
Lirias number: 181873.

05-30

Goethals I., Hoegaerts L., Suykens J.A.K., Verdult V., De Moor B., ``Hammerstein-Wiener subspace identification using kernel Canonical Correlation'', Technical Report 05-30, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-45

Espinoza M., Suykens J.A.K., De Moor B., ``Imposing Symmetry in Least Squares Support Vector Machines Regression'', in Proc. of the 44th IEEE Conference on Decision and Control (CDC), Seville, Spain, Dec. 2005, pp. 5716 - 5721.
Lirias number: 181702.

05-46

Goethals I., Pelckmans K., Hoegaerts L., Suykens J.A.K., De Moor B., ``Subspace intersection identification of Hammerstein-Wiener systems'', in Proc. of the 44th IEEE conference on Decision and Control, and the European Control Conference (CDC-ECC 2005), Seville, Spain, Dec. 2005, pp. 7108-7113.
Lirias number: 181701.

05-48

Pelckmans K., Goethals I., Suykens J.A.K., De Moor B., ``On model complexity control in identification of Hammerstein Systems'', in Proc. of the 44th IEEE conference on Decision and Control, and the European Control Conference (CDC-ECC 2005), (CDC-ECC 2005), Sevilla, Spain, Dec. 2005, pp. .
Lirias number: 181700.

05-53

Yalcin M.E., Suykens J.A.K., Vandewalle J.P.L., Cellular Neural Networks, Multi-Scroll Chaos and Synchronization, vol. 50 of World Scientific Series on Nonlinear Science, Series A, World Scientific Pub. Co (Singapore, ISBN 981-256-161-7), 2005, 248 p.
Lirias number: 181698.

05-62

Pelckmans K., Suykens J.A.K., De Moor B., ``Componentwise Support Vector Machines for Structure Detection'', in Proc. of the International Conference on Artificial Neural Networks (ICANN 2005), Warsaw, Poland, Sep. 2005, pp. .
Lirias number: 73616.

05-76

Ameye L., De Brabanter J., Suykens J.A.K., Cadron I., Devlieger R., Timmerman D., Spitz B., Van Huffel S., ``Predictive Models for Long Term Survival after Premature Rupture of Membranes'', in Proc. of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference (IEEE-EMB), Shanghai, China, Sep. 2005, pp. 572-575.
Lirias number: 181677.

05-77

Pelckmans K., De Brabanter J., Suykens J.A.K, De Moor B., ``Handling Missing Values in Support Vector Machine Classifiers'', Neural Networks, vol. 18, 2005, pp. 684-692.
Lirias number: 45625.

05-88

Yalcin M.E., Suykens J.A.K., ``Spatiotemporal pattern formation on the ACE16k CNN chip'', International Journal of Bifurcation and Chaos, vol. 16, no. 5, 2006, pp. 1537-1546.
Lirias number: 181661.

05-111

Pelckmans K., De Brabanter J. Suykens J.A.K., De Moor B., ``Convex Clustering Shrinkage'', in Workshop on Statistics and Optimization of Clustering Workshop (PASCAL), London, U.K., Jul. 2005, pp. .
Lirias number: 181608.

05-133

Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., ``Efficient Computation of Polyhedral Invariant Sets for LPV Systems and Application to Robust MPC'', Technical Report 05-133, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-134

Rossiter J.A., Pluymers B., Ding Y., Lei X., Suykens J.A.K., De Moor B., ``Extending the Feasibility of Interpolation based MPC and Application to LPV Systems'', Technical Report 05-134, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-136

Espinoza M., Suykens J.A.K., De Moor B., ``Short Term Chaotic Time Series Prediction using Symmetric LS-SVM Regression'', in Proc. of the 2005 International Symposium on Nonlinear Theory and Applications (NOLTA), Bruges, Belgium, Oct. 2005, pp. 606-609.
Lirias number: 181566.

05-138

Van Gorp T., De Smet F., Pochet N., Engelen K., Van Hummelen P., Suykens J.A.K., Marchal K., Amant F., Moreau Y., Timmerman D., De Moor B., Vergote I., ``Predicting the clinical behavior of ovarian cancer from gene expression profiles'', International Journal of Gynecological Cancer, 14th International meeting of the ESGO (ESGO 14), Istanbul, Turkey, vol. 15, no. S2, Sep. 2005, pp. 66.
Lirias number: 189390.

05-139

Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Vergote I.B., Suykens J.A.K., De Moor B.L.R., ``M@CBETH: optimizing clinical microarray classification'', in Proc. of the 2005 IEEE Computational Systems Bioinformatics Conference (CSB2005), Stanford, California (US), Aug. 2005, pp. 89-90.
Lirias number: 181561.

05-141

Pelckmans K., Suykens J.A.K., De Moor B., ``Selection amongst Alternative Variables in Regression Analysis'', Technical Report 05-141, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-149

Xavier de Souza S., Suykens J.A.K., Vandewalle J., ``Learning of Spatiotemporal Behavior in Cellular Neural Networks'', International Journal of Circuit Theory and Applications, Special Issue on CNN Technology (Part 1), vol. 34, no. 1, Jan. 2006, pp. 127-140.
Lirias number: 73236.

05-166

Van Gestel T., Baesens B., Van Dijcke P., Garcia J., Suykens J.A.K., Vanthienen J., ``A process model to develop an internal rating system: sovereing credit ratings'', Decision Support Systems, vol. 42, no. 2, Nov. 2006, pp. 1131-1151.
Lirias number: 85394.

05-172

Pluymers B., Suykens J.A.K, De Moor B., ``Construction of Reduced Complexity Polyhedral Invariant Sets for LPV Systems using Linear Programming'', Technical Report 05-172, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-174

Xavier de Souza S., Suykens J.A.K., Vandewalle J., ``Learning wave phenomena on the CNN universal machine'', in Proc. of the 2005 International Symposium on Nonlinear Theory and its Applications (NOLTA'05), Bruges, Belgium, Oct. 2005.
Lirias number: 181305.

05-177

Espinoza M., Suykens J.A.K., De Moor B., ``LS-SVM Regression with Autocorrelated Errors'', in Proc. of the 14th IFAC Symposium on System Identification (SYSID), Newcastle, Australia, Mar. 2006, pp. 582-587.
Lirias number: 181303.

05-198

Imsland L., Rossiter J.A., Pluymers B., Suykens J.A.K., ``Robust Triple Mode MPC'', in Proc. of the American Control Conference 2006 (ACC'06), Minneapolis, USA, Jun. 2006, pp. CD-ROM.
Lirias number: 181288.

05-199

Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., ``Two Key Ingredients Enabling Efficient Long-Horizon MPC'', Technical Report 05-199, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-200

Pluymers B., Kothare M.V., Suykens J.A.K., De Moor B., ``Robust Constrained Linear State Feedback Synthesis using LMI's and Polyhedral Invariant Sets'', in Proc. of the American Control Conference 2006 (ACC'06), Minneapolis, USA, Jun. 2006, pp. CD-ROM.
Lirias number: 181287.

05-205

Pochet N.L.M.M., Ojeda F., De Smet F., De Bie T., Suykens J.A.K., De Moor B.L.R., ``Kernel clustering for knowledge discovery in clinical microarray data analysis'', in Chapter 3 Kernel methods in bioengineering, communications and image processing, (Camps-Valls G., Rojo-Alvarez J.L., and Martinez-Ramon M., eds.), Idea Group Inc (Hershey, Pennsylvania), 2005, pp. 64-92.
Lirias number: 181277.

05-206

Espinoza M., Suykens J.A.K., De Moor B., ``Structured Kernel Based Modeling: An Exploration in Short-Term Load Forecasting'', Technical Report 05-206, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-216

Pelckmans K., Suykens J.A.K., De Moor B., ``A Convex Approach to Learning the Ridge based on CV'', Technical Report 05-216, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-226

Pelckmans K., Suykens J.A.K., De Moor B., ``Clustering and Staircases'', in NIPS 2005 workshop on Theoretical Foundations on Clustering, 2 p.
Lirias number: 181254.

05-244

De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., ``Nonparametric Comparison of Signals Based on Statistical Bootstrap Techniques'', in Proc. of the European Conference on the Use of Modern Information and Communication Technologies (ECUMICT), Gent, Belgium, Mar. 2006, pp. .
Lirias number: 181231.

05-245

De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., ``generalized likelihood ratio statistics based on bootstrap techniques for autoregression models'', in Proc. of the 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, Mar. 2006, 6 p.
Lirias number: 181229.

05-246

De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., ``Prediction Intervals for NAR Model Structures Using a Bootstrap Method'', in Proc. of the 2005 International Symposium on Nonlinear Theory and its Applications (NOLTA 2005), Brugge, Belgium, Sep. 2005, 6 p.
Lirias number: 181227.

05-247

Taher H.M, Schreurs D., Suykens J.A.K., Nauwelaers B., ``Extraction of Small Signal Equivalent Circuit Model Parameters for Statistical Modeling of HBT using Least Squares Support Vector Machines'', Technical Report 05-247, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

06-03

Alzate C., Suykens J.A.K., ``Kernel Component Analysis using an Epsilon Insensitive Robust Loss Function'', IEEE Transactions on Neural Networks, vol. 19, no. 9, Sep. 2008, pp. 1583-1598.
Lirias number: 219311.

06-07

Xavier de Souza S., Suykens J.A.K., Vandewalle J., Bolle D., ``Coupled Simulated Annealing for Continuous Global Optimization'', Technical Report 06-07, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

06-08

Pluymers B., Kothare M.V., Suykens J.A.K., De Moor B., ``Comments on Min-Max Predictive Control Strategies for Input-Saturated Polytopic Uncertain Systems'''', Technical Report 06-08, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

06-12

Van Gestel T., Baesens B., Van Dijcke P., Suykens J.A.K., Garcia J. Alderweireld T., ``Linear and non-linear credit scoring by combining logistic regression and support vector machines'', Journal Of Credit Risk, vol. 1, no. 4, 2005, pp. 31-60.
Lirias number: 122845.

06-17

Alzate C., Suykens J.A.K., ``A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods'', in Proc. of the 2006 International Joint Conference on Neural Networks (IJCNN'06), Vancouver, Canada, Jul. 2006, pp. 138-144.
Lirias number: 181190.

06-23

Xavier de Souza S., Suykens J.A.K., Vandewalle J., Bolle D., ``Cooperative Behavior in Coupled Simulated Annealing Processes with Variance Control'', in Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA2006) (NOLTA2006), Bologna, Italy, Sep. 2006, pp. 879-882.
Lirias number: 181174.

06-48

Pelckmans K., Suykens J.A.K., De Moor B., ``A convex Approach to Validation-based Learning of the Regularization Constant'', IEEE Transactions on Neural Networks, vol. 18, no. 3, May 2007, pp. 917-920.
Lirias number: 72576.

06-49

Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., ``Least Conservative Support and Tolerance Tubes'', IEEE Transactions on Information Theory, vol. 55, no. 8, Aug. 2009, pp. 3799-3806.
Lirias number: 239317.

06-68

Pelckmans K., Karsmakers P., Suykens J.A.K., De Moor B., ``Ordinal Least Squares Support Vector Machines - a Discriminant Analysis Approach'', in Proc. of the Machine Learning for Signal Processing (MLSP 2006), Maynooth, Ireland, Sep. 2006.
Lirias number: 180912.

06-70

Gunel S., Suykens J.A.K., Vandewalle J., ``Global Optimization with Coupled Local Minimizers Excited by GaussianWhite Noise'', in Proc. of the 2006 International Symposium on Nonlinear Theory and its Applications (NOLTA2006), Bologna, Italy, Sep. 2006, pp. 743-746.
Lirias number: 180909.

06-71

Hillier D., Gunel S., Suykens J.A.K., Vandewalle J., ``Learning Partial Synchronization Regimes with Imposed Qualitative Behavior on an Array of Chua's Oscillators'', in Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA 2006), Bologna, Italy, Sep. 2006, pp. 983-986.
Lirias number: 180908.

06-84

Espinoza M., Suykens J.A.K., Belmans R., De Moor B., ``Electric Load Forecasting - Using kernel based modeling for nonlinear system identification'', IEEE Control Systems Magazine, Special Issue on Applications of System Identification, vol. 27, no. 5, Oct. 2007, pp. 43-57.
Lirias number: 180893.

06-96

Van Calster B., Timmerman D., Lu C., Suykens J.A.K., Valentin L., Van Holsbeke C., Amant F., Vergote I., Van Huffel S., ``Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods'', Ultrasound in Obstetrics and Gynecology, vol. 29, no. 5, May 2007, pp. 496-504.
Lirias number: 72115.

06-104

Pelckmans K., Van Vooren S., Coessens B., Suykens J.A.K., De Moor B., ``Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus'', in Proc. of the workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), Helsinki, Finland, Jun. 2006.
Lirias number: 180857.

06-105

Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., ``Risk Scores, Empirical Z-estimators and its application to Censored Regression'', Technical Report 06-105, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

06-106

Yalcin M., Suykens J.A.K., Vandewalle J., ``Multi-Scroll and Hypercube Attractors from Josephson Junctions'', in Proc. of the ISCAS (ISCAS 2006), Cos, Greece, May 2006, pp. 718-721.
Lirias number: 180855.

06-114

Hillier D., Xavier de Souza S., Suykens J.A.K., Vandewalle J., ``CNNOPT : Learning dynamics and CNN chip-specific robustness'', in Proc. of the 10th IEEE International Workshop on Cellular Neural Networks and their applications (CNNA'2006), Istanbul, Turkey, Aug. 2006, pp. 114-119.
Lirias number: 180838.

06-115

Xavier de Souza S., Van Dyck M., Suykens J.A.K., Vandewalle J., ``Fast and Robust Face Tracking for CNN chips: application to wheelchair driving'', in Proc. of the 10th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA'2006), Istanbul, Turkey, Aug. 2006, pp. 200-205.
Lirias number: 180836.

06-136

Pelckmans K., Suykens J.A.K., De Moor B., ``The Kingdom-Capacity of a Graph: On the Difficulty of Learning a Graph Labelling'', in Proc. of the workshop Mining and Learning with graphs (MLG 2006), Berlin, Germany, Sep. 2006.
Lirias number: 180790.

06-137a

Pochet N.L.M.M., Suykens J.A.K., ``Support vector machines versus logistic regression: improving prospective performance in clinical decision-making'', Ultrasound in Obstetrics & Gynecology, Opinion, vol. 27, no. 6, Jun. 2006, pp. 607-608.
Lirias number: 180788.

06-143

Luts J., Heerschap A., Suykens J.A.K., Van Huffel S., ``MRI and MRSI based Multiclass System for Brain Tumour Recognition using LS-SVMs'', Technical Report 06-143, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

06-150

Debruyne M., Christmann A., Hubert M., Suykens J.A.K., ``Robustness of reweighted least squares kernel based regression'', Journal of Multivariate Analysis, vol. 101, no. 2, Feb. 2010, pp. 447-463.
Lirias number: 213381.

06-160

Hillier D., Gunel S., Suykens J.A.K., Vandewalle J., ``Partial synchronization in oscillator arrays with asymmetric coupling'', International Journal of Bifurcation and chaos, vol. 17, no. 11, Nov. 2007, pp. 4177 - 4185.
Lirias number: 180758.

06-163

Pelckmans K., Suykens J.A.K, De Moor B., ``Predictive Mutual Clustering: Learning in Bioinformatics'', Technical Report 06-163, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

06-167

Vandewalle J., Suykens J.A.K., De Moor B., Lendasse A., ``State of the art and evolutions in public data sets and competitions for system identification, time series prediction and pattern recognition'', in Proc. of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), Honolulu, Hawai, Apr. 2007, pp. IV-1269 -- IV1272.
Lirias number: 180529.

06-168

Pelckmans K., Shawe-Taylor J., Suykens J.A.K., De Moor B., ``Margin based Transductive Graph Cuts using Linear Programming'', in Proc. of the 11th International Conference on Artificial Intelligence (AISTATS 2007), San Juan, Puerto Rico, Apr. 2007, pp. 360-367.
Lirias number: 180528.

06-180

Pelckmans K., Suykens J.A.K., De Moor B., ``Robust Inference for Empirical Graphs: A Compression Approach'', Technical Report 06-180, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

06-181

Alzate C., Suykens J.A.K., ``Image Segmentation using a Weighted Kernel PCA Approach to Spectral Clustering'', in Proc. of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007), Honolulu, U.S.A., Apr. 2007, pp. 208-213.
Lirias number: 180522.

07-06

Pelckmans K., Suykens J.A.K., De Moor B., ``Transductive Learning over Graphs: Incremental Assessment'', Technical Report 07-06, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007.
Lirias number: x.

07-22

Suykens J.A.K., ``Data Visualization and Dimensionality Reduction using Kernel Maps with a Reference Point'', IEEE Transactions on Neural Networks, vol. 19, no. 9, Sep. 2008, pp. 1501-1517.
Lirias number: 219312.

07-26

Luts J., Heerschap A., Suykens J.A.K., Van Huffel S., ``A combined MRI and MRSI based Multiclass System for Brain Tumour Recognition using LS-SVMs with Class Probabilities and Feature Selection'', Artificial Intelligence in Medicine, vol. 40, no. 2, Jun. 2007, pp. 87-102.
Lirias number: 71620.

07-35

Pelckmans K., Suykens J.A.K., De Moor B., ``Predictive Modeling of Failure Time Data'', Technical Report 07-35, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007.
Lirias number: x.

07-36

Karsmakers P., Gierlichs B., Pelckmans K., De Cock K., Suykens J.A.K., Preneel B., De Moor B., ``Side channel attacks on cryptographic devices as a classification problem'', Technical Report 07-36, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007.
Lirias number: x.

07-37

Pelckmans K., Suykens J.A.K., De Moor B., ``A Risk Minimization Principle for a Class of Parzen Estimators'', in Proc. of the Neural Information Processing Systems (NIPS 2007), Vancouver, Canada, Dec. 2007.
Lirias number: 219183.

07-38

Pelckmans K., Suykens J.A.K., De Moor B., ``Convex Optimization for the Design of Learning Machines'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN 2007), Bruges, Belgium, Apr. 2007, pp. 193-204.
Lirias number: 180398.

07-39

Karsmakers P., Pelckmans K., Suykens J.A.K., ``Multi-class kernel logistic regression: a fixed-size implementation'', in Proc. of the international joint conference in neural networks (IJCNN), Orlando, Florida, Aug. 2007, pp. 1756-1761.
Lirias number: 180396.

07-40

Ojeda F., Suykens J.A.K, De Moor B., ``Variable selection by rank-one updates for least squares support vector machines'', in Proc. of the 2007 International Joint Conference on Neural Networks (IJCNN), Orlando, FL. U.S.A., Aug. 2007, pp. 2283-2288.
Lirias number: 180394.

07-47

Alzate C., Suykens J.A.K., ``ICA Through an LS-SVM Based Kernel CCA Measure for Independence'', in Proc. of the 2007 International Joint Conference on Neural Networks (IJCNN 2007), Orlando, FL. U.S.A., Aug. 2007, pp. 2920-2925.
Lirias number: 180390.

07-50

Debruyne M., Hubert M., Suykens J.A.K., ``Model Selection in Kernel Based Regression using the Influence Function'', Journal of Machine Learning Research, vol. 9, Oct. 2008, pp. 2377-2400.
Lirias number: 200555.

07-63

Karsmakers P., Pelckmans K., Suykens J.A.K., Van hamme H., ``Fixed-Size Kernel Logistic Regression for Phoneme Classification'', in Proc. of the interspeech (INTERSPEECH), Antwerp, Belgium, Aug. 2007, pp. 78-81.
Lirias number: 180292.

07-68

Pelckmans K., Suykens J.A.K., ``topranking: predicting the most relevant element of a set'', in Proc. of the 1st IAPR Workshop on Cognitive Information Processing (CIP 2008), Greece, Santorini, Jun. 2008.
Lirias number: 219314.

07-70

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Support vector machines for survival analysis'', in Proc.of the Third International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2007), Plymouth, England, Jul. 2007.
Lirias number: 180278.

07-83

Van Calster B., Luts J., Suykens J.A.K., Condous G., Bourne T., Timmerman D., Van Huffel S., ``Comparing methods for multi-class probabilities in medical decision making using LS-SVMs and kernel logistic regression'', in Artificial neural networks - ICANN 2007, (Marques de Sa J., Alexandre L.A., Duch W., and Mandic D., eds.), Proc. of the 17th International Conference on Artificial Neural Networks, Porto (Portugal), 9-13 September 2007, vol. 4669 of Lecture Notes in Computer Science, Springer, 2007, pp. 139-148.
Lirias number: 180266.

07-85

Suykens J.A.K., ``Kernel Methods'', in Chapter in Comprehensive Chemometrics, volume 3, (Brown S., Tauler R., and Walczak R., eds.), Elsevier, 2009, pp. 437-451.
Lirias number: 233010.

07-103

Suykens J.A.K., ``Gedrag in complexe netwerken'', Karakter, no. 20, 2007, pp. 26-27.
Lirias number: 180074.

07-121

Luts J., Poullet J.-B., Garcia-Gomez J.M., Heerschap A., Robles M., Suykens J.A.K., Van Huffel S., ``The effect of feature extraction for brain tumour classification based on short echo time 1H MR spectra'', Magnetic Resonance in Medicine, vol. 60, no. 2, Jul. 2008, pp. 288-298.
Lirias number: 219315.

07-122

Luts J., Suykens J.A.K., Van Huffel S., ``Semi-supervised learning: avoiding zero label assumptions in kernel based classifiers'', Technical Report 07-122, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007.
Lirias number: x.

07-124

Pelckmans K., Suykens J.A.K., De Moor B., ``Transductive Rademacher Complexities for Learning over a Graph'', Technical Report 07-124, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007.
Lirias number: 242290.

07-149

Alzate C., Suykens J. A. K., ``A Regularized Kernel CCA Contrast Function for ICA'', Neural Networks, Special Issue on Advances in Neural Networks Research: IJCNN 07, vol. 21, no. 2-3, Mar.-Apr. 2008, pp. 170-181.
Lirias number: 180041.

07-158

Ojeda F., Suykens J.A.K, De Moor B., ``Low rank updated LS-SVM classifiers for fast variable selection'', Neural Networks, Special Issue on Advances in Neural Networks Research: IJCNN 2007, vol. 21, no. 2-3, Mar.-Apr. 2008, pp. 437-449.
Lirias number: 180033.

07-193

Xavier de Souza S., Suykens J.A.K., Vandewalle J., Bolle D., ``Coupled Simulated Annealing'', IEEE Transactions on Systems, Man, and Cybernetics - Part B, vol. 40, no. 2, Apr. 2010, pp. 320 - 335.
Lirias number: 242252.

07-199

Karsmakers P., Leroux P., De Brabanter J., Suykens J.A.K., ``Least Squares Support Vector Machines for Modelling Electronic Devices'', in Proc. of the European Conference on the Use of Modern Information and Communication Technologies (ECUMICT), Ghent, Belgium, Mar. 2008, pp. 1-4.
Lirias number: 201530.

07-213

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Survival SVM: a Practical Scalable Algorithm'', in Proc. of the 16th European Symposium on Artificial Neural Networks (ESANN2008), Bruges, Belgium, Apr. 2008, pp. 89-94.
Lirias number: 219316.

07-229

Alzate C., Suykens J. A. K., ``Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 2, Feb. 2010, pp. 335-347.
Lirias number: 242253.

07-231

Alzate C., Suykens J. A. K., ``Sparse Kernel Models for Spectral Clustering Using the Incomplete Cholesky Decomposition'', in Proc. of the 2008 International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, China, Jun. 2008, pp. 3555-3562.
Lirias number: 219317.

08-02

Daemen A., Gevaert O., Ojeda F., Debucquoy A., Suykens J.A.K., Sempoux C., Machiels J.-P., Haustermans K., De Moor B., ``A kernel-based integration of genome-wide data for clinical decision support'', Genome Medicine, vol. 1, no. 4, Apr. 2009, pp. 39.1-39.17.
Lirias number: 234566.

08-07

Necoara I., Suykens J.A.K., ``Application of a smoothing technique to decomposition in convex optimization'', IEEE Transactions on Automatic Control, vol. 53, no. 11, Dec. 2008, pp. 2674-2679.
Lirias number: 219318.

08-08

Necoara I., Suykens J.A.K., ``A proximal center-based decomposition method for multi-agent convex optimization'', in Proc. of the IEEE Conference on Decision and Control (CDC 2008), Cancun, Mexic, Dec. 2008.
Lirias number: 219319.

08-16

Pelckmans K., Van Belle V., Van Huffel S., Suykens J.A.K., ``Learning Transformation Models for Failure Time Data'', Technical Report 08-16, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008.
Lirias number: 242410.

08-24

Signoretto M., Pelckmans K., Suykens J.A.K., ``Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation'', in Proc. of the 18th International Conference on Artificial Neural Networks (ICANN), Prague, Czech Republic, Sep. 2008.
Lirias number: 219320.

08-32

Necoara I., Doan D., Suykens J.A.K., ``Application of the proximal center decomposition method to distributed model predictive control'', in Proc. of the IEEE Conference on Decision and Control (CDC 2008), Cancun, Mexic, Dec. 2008.
Lirias number: 219321.

08-36

Belykh V.N., Osipov G.V., Petrov V.S., Suykens J.A.K., Vandewalle J., ``Cluster synchronization in oscillatory networks'', Chaos, Focus Issue: Synchronization in Complex Networks, vol. 18, no. 3, Sep. 2008, pp. 037106-.
Lirias number: 219322.

08-37

Komarov M.A., Osipov G.V., Suykens J.A.K., ``Variety of Synchronous Regimes in Neuronal Ensembles'', Chaos, Focus Issue: Synchronization in Complex Networks, vol. 18, no. 3, Sep. 2008, pp. 037121 -.
Lirias number: 219323.

08-38

Falck T., Espinoza M., Suykens J.A.K., De Moor B., ``A Perturbation Analysis using Second Order Cone Programming for Robust Kernel Based Regression'', Technical Report 08-38, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008.
Lirias number: 242636.

08-52

Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of the brain: segmentation and classification using MRI and MRSI'', NMR in Biomedicine, vol. 22, no. 4, May 2009, pp. 374-390.
Lirias number: 197125.

08-90

Espinoza M., Falck T., Suykens J.A.K., De Moor B., ``Time Series Prediction using LS-SVMs'', in Proc. of the European Symposium on Time Series Prediction (ESTSP08), Porvoo, Finland, Sep. 2008, pp. 159-168.
Lirias number: 219324.

08-106

Verstraeten D., Xavier-de-Souza S., Schrauwen B., Suykens J.A.K., Stroobandt D., Vandewalle J., ``Pattern classification with CNNs as reservoirs'', in Proc. of theInternational Symposium on Nonlinear Theory and its Applications (NOLTA 2008), Budapest, Hungary, Sep. 2008, pp. 101-104.
Lirias number: 219325.

08-107

Imsland L., Rossiter J.A., Pluymers B., Suykens J.A.K., ``Robust triple mode MPC'', International Journal of Control, vol. 81, no. 4, Apr. 2008, pp. 679-689.
Lirias number: 219326.

08-136

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Additive survival least squares support vector machines'', Statistics in Medicine, vol. 29, no. 2, Jan. 2010, pp. 296 - 308.
Lirias number: 242406.

08-150

Necoara I., Suykens J.A.K., ``Interior-Point Lagrangian Decomposition Method for Separable Convex Optimization'', Journal of Optimization Theory and Applications, vol. 143, no. 3, Dec. 2009, pp. 567-588.
Lirias number: 242408.

08-155

Garcia-Gomez J., Luts J., Julia-Sape M., Krooshof P., Tortajada S., Vicente J., Melssen W., Fuster-Garcia E., Olier I., Postma G., Monleon D., Moreno-Torres A., Pujol J., Candiota A.-P., Martinez-Bisbal M.C., Suykens J.A.K., Buydens L., Celda B., Van Huffel S., Arus C., Robles M., ``Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy'', Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 22, Feb. 2009, pp. 5-18.
Lirias number: 230610.

08-168

Suykens J.A.K., Osipov G.V., ``Introduction to Focus Issue: Synchronization in Complex Networks'', Chaos, Focus Issue: Synchronization in Complex Networks, vol. 18, no. 3, Sep. 2008, pp. 037101 -.
Lirias number: 219327.

08-193

De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., ``Optimized Fixed-Size Kernel Models for Large Data Sets'', Computational Statistics & Data Analysis, vol. 54, no. 6, Jun. 2010, pp. 1484-1504.
Lirias number: 242622.

08-196

De Brabanter K., Dreesen P., Karsmakers P., Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., ``Fixed-Size LS-SVM Applied to the Wiener-Hammerstein Benchmark'', in Proc. of the 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, Jul. 2009, pp. 826-831.
Lirias number: 239320.

08-201

Pelckmans K., Van Belle V., Van Huffel S., Suykens J.A.K., ``Learning Lipschitz-smooth Utility Functions for Transformation Models in Ranking Problems'', Technical Report 08-201, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008.
Lirias number: 242626.

08-202

Falck T., Pelckmans K., Suykens J.A.K., De Moor B., ``Identification of Wiener-Hammerstein Systems using LS-SVMs'', in Proceedings of the 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, Jul. 2009, pp. 820-825.
Lirias number: 239321.

08-203

Signoretto M., Pelckmans K., Suykens J.A.K., ``Functional ANOVA Models: Convex-concave approach and concurvity analysis'', Technical Report 08-203, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008.
Lirias number: 242627.

08-207

Komarov M.A., Osipov G.V., Suykens J.A.K., ``Sequentially activated clusters in neural networks'', Europhysics Letters, vol. 86, no. 6, Jun. 2009, pp. 60006-.
Lirias number: 242628.

08-212

Pelckmans K., Suykens J.A.K., ``Transductively Learning from Positive Examples Only'', in Proc. of the European Symposium on Artificial Neural Networks (esann 2009), Bruges, Belgium, Mar. 2009, pp. 23-28.
Lirias number: 235860.

08-213

Komarov M.A., Osipov G.V., Suykens J.A.K., Rabinovich M.I., ``Numerical studies of slow rhythms emergence in neural microcircuits: Bifurcations and stability'', Chaos, Focus Issue: Nonlinear dynamics in cognitive and neural systems, vol. 19, no. 1, Mar. 2009, pp. 015107-.
Lirias number: 224059.

08-242a

Pelckmans K., Suykens J.A.K., ``LPRankBoost and Column Generation'', in Proc. of the International Conference/Euro Mini Conference on Continuous Optimization and Knowledge-Based Technologies (EurOPT 2008) (EurOPT 2008), Neringa, Lithuania, Jun. 2008, pp. 165-169.
Lirias number: 235868.

08-247

Luts J., Idema A.J., Heerschap A., Vandermeulen D., Suykens J. and Van Huffel S., ``Nosologic imaging of the brain: combined MRI and MRSI segmentation and classification. Proceedings annual meeting ISMRM'', Proceedings annual meeting ISMRM (International Society for Magnetic Resonance in Medicine) (ISMRM 2008), Toronto, Canada, May 2008.
Lirias number: 369451.

09-07

Alzate C., Suykens J.A.K., ``A Regularized Formulation for Spectral Clustering with Pairwise Constraints'', in Proc. of the 2009 International Joint Conference on Neural Networks (IJCNN'09), Atlanta, U.S.A, Jun. 2009, pp. 141-148.
Lirias number: 239322.

09-09

Petrov V.S., Osipov G.V., Suykens J.A.K., ``Influence of passive elements on the dynamics of oscillatory ensembles of cardiac cells'', Physical Review E, vol. 79, no. 4, Apr. 2009, pp. 046219-.
Lirias number: 235032.

09-12

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints'', in Bio-Inspired Systems: Computational and Ambient Intelligence, (Cabestany J., Sandoval F., Prieto A., and and Corchabo J.M., eds.), Proc. of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, vol. 5517 of Lecture notes in Computer Science, Springer, 2009, 2009, pp. 65-72.
Lirias number: 235879.

09-20

Suykens J.A.K., ``Extending Newton's law from nonlocal-in-time kinetic energy'', Physics Letters A, vol. 373, no. 14, Mar. 2009, pp. 1201-1211.
Lirias number: 223995.

09-35

Schoukens J., Suykens J.A.K., Ljung L., ``Wiener-Hammerstein Benchmark'', in Proc. of the 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, Jul. 2009, pp. 531-552.
Lirias number: 239324.

09-37

Tsiaflakis P., Necoara I., Suykens J.A.K., Moonen M., ``An improved dual decomposition approach to DSL dynamic spectrum management'', in Proc. of the 17th European Signal Processing Conference (EUSIPCO), Glasgow, Scotland, Aug. 2009, pp. 1-5.
Lirias number: 242671.

09-45

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``MINLIP: Efficient Learning of Transformation Models'', in Artificial Neural Networks - ICANN 2009, (Alippi C., Polycarpou M., Panayiotou C., and Ellinas G., eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN2009), vol. 5768 (part 1) of Lecture notes in Computer Science, Springer, 2009, pp. 60-69.
Lirias number: 243259.

09-46

De Brabanter K., Pelckmans K., De Brabanter J., Debruyne M., Suykens J.A.K., Hubert M., De Moor B., ``Robustness of Kernel Based Regression: a Comparison of Iterative Weighting Schemes'', in Proc. of the 19th International Conference on Artificial Neural Networks (ICANN), Limassol, Cyprus, Sep. 2009, pp. 100-110.
Lirias number: 242207.

09-48

Necoara I., Savorgnan C., Tran Dinh Q., Suykens J.A.K., Diehl M., ``Distributed Nonlinear Optimal Control using Sequential Convex Programming and Smoothing Techniques'', in 48th IEEE Conference on Decision and Control (CDC 2009),Shanghai China 2009, 6 p.
Lirias number: 243260.

09-49

Necoara I., Dumitrache I., Suykens J.A.K., ``Smoothing Techniques for Distributed Model Predictive Algorithms in Networks'', in Proc. of the 8th IFAC Workshop on Time Delay Systems (IFAC-TDS 2009), Sinaia, Romania, Sep. 2009, pp. .
Lirias number: 243261.

09-50

Necoara I., Suykens J.A.K., ``A dual interior-point distributed algorithm for large-scale data networks optimization'', in Proc. of the European Control Conference 2009 (ECC 2009), Budapest, Hungary, Aug. 2009, pp. .
Lirias number: 243262.

09-51

Necoara I., Suykens J.A.K., ``An Interior Point Lagrangian Decomposition Method for Convex Programming'', in 20th Meeting of the International Symposium on Mathematical Programming ISMP 2009 Chicago US, Aug. 2009, 20 p.
Lirias number: 243263.

09-54

Falck T., Suykens J.A.K., De Moor B., ``Robustness Analysis for Least Squares Kernel Based Regression: an Optimization Approach'', in Proc. of the 48th IEEE Conference on Decision and Control (CDC 2009), Shanghai, China, Dec. 2009, pp. 6774-6779.
Lirias number: 243264.

09-59

Alzate C., Espinoza M., De Moor B., Suykens J.A.K., ``Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering'', in Proc. of the 19th International Conference on Artificial Neural Networks (ICANN 2009), Limassol, Cyprus, Sep. 2009, pp. 315-324.
Lirias number: 243265.

09-66

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Van Huffel S., Celda B., ``Differentiation between solitary brain metastasis and glioblastoma multiforme using MRI and two-dimensional turbo spectroscopic imaging data'', Technical Report 09-66, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009.
Lirias number: 243268.

09-68

Tsiaflakis P., Necoara I., Suykens J.A.K., Moonen M., ``Improved Dual Decomposition Based Optimization for DSL Dynamic Spectrum Management'', IEEE Transactions on Signal Processing, vol. 58, no. 4, Apr. 2010, pp. 2230-2245.
Lirias number: 243270.

09-70

Pelckmans K., Suykens J.A.K., ``Gossip Algorithms for Computing U-statistics'', in Proc. of the 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys 2009), Venice, Italy, Sep. 2009.
Lirias number: 235881.

09-71

Necoara I., Suykens J.A.K., ``A primal-dual consensus algorithm in convex optimization'', Technical Report 09-71, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009.
Lirias number: 243272.

09-72

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Celda B., Van Huffel S., ``Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI'', in Proc. of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Albuquerque, New Mexico, Aug. 2009, pp. 1-8.
Lirias number: 257975.

09-75

Suykens J.A.K., ``Support vector machines and kernel-based learning for dynamical systems modelling'', in Proc. of the 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, Jul. 2009, pp. 1029-1037.
Lirias number: 239325.

09-76

Chumerin N., Manyakov N.V., Combaz A., Suykens J.A.K., Van Hulle M.M., ``An application of feature selection to on-line P300 detection in brain-computer interface'', in Proc. of the 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009), Grenoble, France, Sep. 2009, pp. 1-6.
Lirias number: 243274.

09-96

Chumerin N., Manyakov N.V., Combaz A., Suykens J.A.K., Yazicioglu R.F., Torfs T., Merken P., Neves H.P., Van Hoof C., Van Hulle M.M., ``P300 detection based on Feature Extraction in on-line Brain-Computer Interface'', in Proc. of the 32nd Annual Conference on Artificial Intelligence (KI 2009), Paderborn, Germany, Sep. 2009, pp. 339-346.
Lirias number: 243280.

09-97

Signoretto M., Pelckmans K., De Lathauwer L., Suykens J.A.K., ``Data-Dependent Norm Adaptation for Sparse Recovery in Kernel Ensembles Learning'', Technical Report 09-97, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009.
Lirias number: 243281.

09-131

Komarov M.A., Osipov G.V., Suykens J.A.K., Rabinovich M.I., ``Emergence of slow rhythms in neural microcircuit: bifurcations and stability'', in Proc. of the 17th International Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2009), Rapperswil, Switzerland, Jun. 2009, pp. 168-171.
Lirias number: 239329.

09-132

Osipov G.V., Komarov M.A., Suykens J.A.K., ``Transient dynamics in the network of Hodgkin-Huxley neurons'', in Proc. of the 17th International Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2009), Rapperswil, Switzerland, Jun. 2009, pp. 161-164.
Lirias number: 239330.

09-133

Petrov V.S., Osipov G.V., Suykens J.A.K., ``Wave dynamics of oscillatory ensembles under the influence of passive elements'', in Proc. of the 17th International Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2009), Rapperswil, Switzerland, Jun. 2009, pp. 82-85.
Lirias number: 239331.

09-135

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Learning Transformation Models for Ranking and Survival Analysis'', Journal of Machine Learning Research, vol. 12, Mar. 2011, pp. 819-862.
Lirias number: 243102.

09-143

Suykens J.A.K., Alzate C., Pelckmans K., ``Primal and dual model representations in kernel-based learning'', Statistics Surveys, DOI: 10.1214/09-SS052, vol. 4, Aug. 2010, pp. 148-183.
Lirias number: 243105.

09-155

Sahhaf S., De Brabanter K., Degraeve R., Suykens J.A.K., De Moor B., Groeseneken G., ``Modelling of Charge Trapping/De-trapping Induced Voltage Instability in High-k Gate Dielectrics'', IEEE Transactions on Device and Materials Reliability, vol. 12, no. 1, Mar. 2012, pp. 152-157.
Lirias number: 243243.

09-174

Karsmakers P., Pelckmans K., Van hamme H., Suykens J.A.K, ``Large-Scale Kernel Logistic Regression for Segment-Based Phoneme Recognition'', Technical Report 09-174, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009.
Lirias number: 243250.

09-179

Lopez J., Suykens J.A.K., ``First and Second Order SMO Algorithms for LS-SVM Classifiers'', Neural Processing Letters, vol. 33, no. 1, Feb. 2011, pp. 31-44.
Lirias number: 285901.

09-198

Combaz A., Manyakov N.V., Chumerin N., Suykens J.A.K., Van Hulle M.M., ``Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling'', in Proc. of the 2009 International Conference on Machine Learning and Applications (ICMLA 2009), Miami Beach Florida, US, Dec. 2009, pp. 386-391.
Lirias number: 1992321.

09-215

Yu S., Falck T., Daemen A., Tranchevent L.C., Suykens J.A.K., De Moor B., Moreau Y., ``L2-norm multiple kernel learning and its application to biomedical data fusion'', BMC Bioinformatics, vol. 11, no. 309, Jun. 2010, pp. 1-53.
Lirias number: 248322.

09-216

Daemen A., Signoretto M., Gevaert O., Suykens JAK., De Moor B., ``Improved microarray-based decision support with graph encoded interactome data'', PLoS ONE, vol. 5, no. 4, Apr. 2010, pp. 1-16.
Lirias number: 248316.

09-222

Alzate C., Janssens F., Glanzel W., Suykens J.A.K., De Moor B., ``Kernel Spectral Clustering of Scientific Journals Using a Data Integration Scheme'', Technical Report 09-222, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009.
Lirias number: x.

09-228

De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., ``Kernel Regression with Correlated Errors'', in Proc. of the the 11th International Symposium on Computer Applications in Biotechnology (CAB), Leuven, Belgium, Jul. 2010, pp. 13-18.
Lirias number: 265004.

09-233

De Brabanter K., Sahhaf S., Karsmakers P., De Brabanter J., Suykens J.A.K., De Moor B., ``Nonparametric Comparison of Densities Based on Statistical Bootstrap'', in Proc. of the Fourth European Conference on the Use of Modern Information and Communication Technologies (ECUMICT), Gent, Belgium, Mar. 2010, pp. 179-190.
Lirias number: 257916.

09-235

Van Belle V., Pelckmans K., Van Huffel S., Suykens J.A.K., ``Support vector methods for survival analysis: a comparison between ranking and regression approaches'', Artificial Intelligence in Medicine, vol. 53, no. 2, Oct. 2011, pp. 107-118.
Lirias number: 316209.

09-236

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``On the use of a clinical kernel in survival analysis'', in Proc. of the European Symposium on Artificial Neural Networks (esann2010) (ESANN2010)}, Bruges, Belgium, Apr. 2010, pp. 451-456.
Lirias number: 260585.

09-237

Signoretto M., Daemen A., Savorgnan C., Suykens J. A. K., ``Variable Selection and Grouping with Multiple Graph Priors'', in Proc. of the 2nd NIPS Workshop on Optimization for Machine Learning, Whistler, Canada , Dec. 2009.
Lirias number: 251772.

09-239

Alzate C., Suykens J.A.K., ``Highly Sparse Kernel Spectral Clustering with Predictive Out-of-Sample Extensions'', in Proc. of the 18th European Symposium on Artificial Neural Networks (ESANN 2010), Bruges, Belgium, Apr. 2010, pp. 235-240.
Lirias number: 259546.

09-276

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J., Himmelreich U., Celda B. and Van Huffel S., ``Non-negative matrix factorization for differentiation of brain metastasis and glioblastoma multiforme, and visualization of tumor infiltration.'', Proceedings annual meeting ISMRM (International Society for Magnetic Resonance in Medicine) (ISMRM 20010), Stockholm, Sweden, May 2010.
Lirias number: 282514.

09-278

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Van Huffel S., ``Solitary brain metastasis and glioblastoma multiforme: differentiation based on MRI and two-dimensional turbo spectroscopic imaging data'', Proc. of the 26th Annual Meeting European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2009), Antalya, Turkey, Oct. 2009, pp. 50-51.
Lirias number: 369467.

09-298

De Schutter J., Diehl M., Glineur F., Jarlebring E., Louveaux Q., Michiels W., Smets I., Suykens J., Swevers J., Vandewalle J., Van Impe J., Verschuure M., (eds.), Book of Abstracts of the 14th Belgian-French-German Conference on Optimization, Proc of the Belgian-French-German Conference on Optimization, 14th edition, KU Leuven (Leuven, Belgium), 2009, 267 p.
Lirias number: 243623.

10-02

Luts J., Ojeda F., Van de Plas R., De Moor B., Van Huffel S., Suykens J.A.K, ``A tutorial on support vector machine-based methods for classification problems in chemometrics'', Analytica Chimica Acta, vol. 665, no. 2, Apr. 2010, pp. 129-145.
Lirias number: 265003.

10-03

Falck T., Signoretto M., Suykens J.A.K., De Moor B., ``A two stage algorithm for kernel based partially linear modeling with orthogonality constraints'', Technical Report 10-03, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010.
Lirias number: x.

10-42

Signoretto M., Pelckmans K., De Lathauwer L., Suykens J.A.K., ``Improved Non-Parametric Sparse Recovery with Data Matched Penalties'', in 2nd International Workshop on Cognitive Information Processing (CIP), Elba Island, Italy, Apr. 2010, 6 p.
Lirias number: 264001.

10-43

Postma G., Luts J., Idema A.J., Julia-Sape M., Moreno-Torres A., Gajewicz W., Suykens J.A.K., Heerschap A., Van Huffel S., Buydens L.M.C., ``On the relevance of automatically selected single voxel MRS and multimodal MRI and MRSI features for brain tumor differentiation'', Computers in Biology and Medicine, vol. 41, no. 2, Feb. 2011, pp. 87-97.
Lirias number: 291704.

10-54

Falck T., Suykens J.A.K., De Moor B., ``Linear Parametric Noise Models for Least Squares Support Vector Machines'', in Proc. of the 49th IEEE Conference on Decision and Control (CDC2010), Atlanta, GA, Dec. 2010, pp. 6389-6394.
Lirias number: 271090.

10-56

Rogge J., Suykens J.A.K., Aeyels D., ``Consensus over ring networks as a quadratic optimal control problem'', in Proc. of the 4th IFAC Symposium on System, Structure and Control, Ancona, Italy, Sep. 2010, pp. 317 -323.
Lirias number: 268278.

10-59

Van Belle V., Pelckmans K., Van Huffel S., Suykens J.A.K., ``Improved Performance on High-Dimensional Survival Data using Survival-SVM'', Bioinformatics, vol. 27, no. 1, Jan. 2011, pp. 87-94.
Lirias number: 282330.

10-60

Pelckmans K., van Waterschoot T., Suykens J.A.K., ``Efficient Adaptive Filtering for Smooth Linear FIR Models'', in Proc. of the 18th European Signal Process. Conf. (EUSIPCO 2010), Aalborg, Danmark, Aug. 2010, pp. 2136-2140.
Lirias number: 268323.

10-63

Karsmakers P., Pelckmans K., De Brabanter K., Van hamme H., Suykens J.A.K., ``Sparse Conjugate Directions Pursuit with Application to Fixed-size Kernel Models'', Machine Learning, Special Issue on Model Selection and Optimization in Machine Learning, vol. 85, no. 1, Oct. 2011, pp. 109-148.
Lirias number: 310163.

10-82

Geebelen D., Suykens J.A.K., Vandewalle J., ``Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation'', IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 4, Apr. 2012, pp. 682 - 688.
Lirias number: 344637.

10-88

Necoara I., Dumitrache I., Suykens J.A.K., ``Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization'', in Proc. of the 49th IEEE Conference on Decision and Control (CDC 2010), Atlanta, US, Dec. 2010, pp. 1366-1371.
Lirias number: 305652.

10-89

Falck T., Suykens J.A.K., Schoukens J., De Moor B., ``Nuclear Norm Regularization for Overparametrized Hammerstein Systems'', in Proc. of the 49th IEEE Conference on Decision and Control (CDC2010), Atlanta, GA, Dec. 2010, pp. 7202-7207.
Lirias number: 271098.

10-91

Ojeda F., Falck T., De Moor B., Suykens J.A.K., ``Polynomial componentwise LS-SVM: fast variable selection using low rank updates'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, Jul. 2010, pp. 3291-3297.
Lirias number: 265010.

10-92

Combaz A., Chumerin N., Manyakov N.V., Suykens J.A.K., Van Hulle M.M., ``Error-related potential recorded by EEG in the context of a P300 mind speller brain-computer interface'', in Proc. of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), Kittila, Finland, Aug. 2010, pp. 65-70.
Lirias number: 271956.

10-94

Daemen A., Gevaert O., Ojeda F., Suykens J.A.K., De Moor B., ``HI-DID-IT: a HIgh-Dimensional Data Integration Toolbox for clinical applications'', Technical Report 10-94, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010.
Lirias number: x.

10-99

Goethals I., Pelckmans K., Falck T., Suykens J.A.K., De Moor B., ``NARX Identification of Hammerstein Systems using Least-Squares Support Vector Machines'', in Chapter 15 of Block-oriented Nonlinear System Identification, (Giri F., and Bai E.-W., eds.), vol. 404 of Lecture notes in control and information sciences, Springer, 2010, pp. 241-256.
Lirias number: 278765.

10-119

Signoretto M., De Lathauwer L., Suykens J.A.K., ``Kernel-based Learning from Infinite Dimensional 2-way Tensors'', in ICANN 2010, part II, LNCS 6353, (Diamantaras K., Duch W., and Iliadis L.S. , eds.), Springer-Verlag, 2010, pp. 59-69.
Lirias number: 270157.

10-126

Necoara I., Dumitrache I., Suykens J.A.K., ``Fast primal-dual distributed projected linear iterations for constrained consensus'', Technical Report 10-126, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010.
Lirias number: x.

10-143

Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of brain tumors using MRI and MRSI'', in Chapter 16 Brain tumors (part 1), (Hayat M.A., ed.), vol. 3 of mph{Tumors of the central nervous system}, Springer, 2011, pp. 155-168.
Lirias number: 313010.

10-144

Ojeda F., Signoretto M., Van de Plas R., Waelkens E., De Moor B., Suykens J.A.K., ``Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging'', in Pattern Recongintion in Bioinformatics, (Dijkstra T.M.H, Tsivtsivadze E., Marchiori E., and Heskes T., eds.), 5th IAPR International Conference, PRIB 2010 Nijmegen, The Netherlands, September 2010, vol. 6282 of Lecture Notes in Bioinformatics. Subseries of Lecture Notes in Computer Science, Springer-Verlag, 2010, pp. 325-334.
Lirias number: 271463.

10-146

De Brabanter K., Karsmakers P., Ojeda F., Alzate C., De Brabanter J., Pelckmans K., De Moor B., Vandewalle J., Suykens J.A.K., ``LS-SVMlab Toolbox User's Guide version 1.8'', Technical Report 10-146, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010.
Lirias number: x.

10-156

De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., ``Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression'', IEEE Transactions on Neural Networks, vol. 22, no. 1, Jan. 2011, pp. 110-120.
Lirias number: 278843.

10-159

Alzate C., Suykens J.A.K., ``Sparse Kernel Spectral Clustering Models for Large-Scale Data Analysis'', Neurocomputing, Special Issue on Advances in Artificial Neural Networks, Machine Learning and Computational Intelligence (ESANN 2010), vol. 74, no. 9, Apr. 2011, pp. 1382-1390.
Lirias number: 291702.

10-161

Pavlov E.A., Osipov G.V., Chan C.K., Suykens J.A.K., ``Map-based model of the cardiac action potential'', Physics Letters A, vol. 375, no. 32, Jul. 2011, pp. 2894-2902.
Lirias number: 313012.

10-170

Van Belle V.M.C.A., Van Calster B., Timmerman D., Bourne T., Bottomley C., Valentin L., Neven P., Van Huffel S., Suykens J.A.K., Boyd S., ``A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology'', PLoS ONE, vol. 7, no. 3, Mar. 2012, pp. 1-10.
Lirias number: 344645.

10-186

Signoretto M., De Lathauwer L., Suykens J.A.K., ``Nuclear Norms for Tensors and Their Use for Convex Multilinear Estimation'', Technical Report 10-186, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010.
Lirias number: x.

10-195

Yu S., Liu X., Tranchevent L., Glanzel W., Suykens J.A.K., De Moor B., Moreau Y., ``Optimized data fusion for K-means Laplacian Clustering'', Bioinformatics, vol. 27, no. 1, Jan. 2011, pp. 118-126.
Lirias number: 278776.

10-230

Falck T., Ohlsson H., Ljung L., Suykens J.A.K., De Moor B., ``Segmentation of time series from nonlinear dynamical systems'', in Proc. of the 18th World Congress of the International Federation of Automatic Control, Milan, Italy, Aug. 2011, pp. 13209-13214.
Lirias number: 298604.

10-231

Pelckmans K., van Waterschoot T., Suykens J.A.K., ``Smooth Gradient Descent for Efficient Adaptive Filtering'', Technical Report 10-231, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010.
Lirias number: x.

10-232

Signoretto M., De Lathauwer L., Suykens J.A.K., ``Convex Multilinear Estimation and Operatorial Representations'', in Proc. of the NIPS Workshop on Tensors, Kernels and Machine Learning 2010 (TKML), Whistler, Canada, Dec. 2010.
Lirias number: 280419.

10-240

De Brabanter K., Karsmakers P., De Brabanter J., Suykens J.A.K., De Moor B., ``Confidence Bands for Least Squares Support Vector Machine Classifiers: A Regression Approach'', Pattern Recognition, vol. 45, no. 6, Jun. 2012, pp. 2280-2287.
Lirias number: 326690.

10-246

De Brabanter K., Karsmakers P., De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., ``On Robustness in Kernel Based Regression'', in NIPS 2010 Workshop Robust Statistical Learning (ROBUSTML) (NIPS 2010), Whistler, Canada, Dec. 2010.
Lirias number: 282708.

10-249

Luts J., Molenberghs G., Verbeke G., Van Huffel S., Suykens J.A.K., ``A mixed effects least squares support vector machine model for classification of longitudinal data'', Computational Statistics & Data Analysis, vol. 56, no. 3, Mar. 2012, pp. 611-628.
Lirias number: 316211.

10-250

Geebelen D., Geebelen K., Truyen E., Michiels S., Suykens J.A.K., Vandewalle J., Joosen W., ``QoS Prediction for web service compositions using kernel-based quantile estimation with online adaptation of the constant offset'', Information Sciences, vol. 268, no. *, 2014, pp. 397-424.
Lirias number: 447162.

10-251

Signoretto M., De Lathauwer L., Suykens J.A.K., ``A Kernel-based Framework to Tensorial Data Analysis'', Neural Networks, Selected Papers from ICANN 2010, vol. 24, no. 8, Oct. 2011, pp. 861-874.
Lirias number: 316210.

10-255

Lopez J., De Brabanter K., Dorronsoro J.R., Suykens J.A.K, ``Sparse LS-SVMs with L0-Norm Minimization'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, Apr. 2011, pp. 189-194.
Lirias number: 294623.

10-257

Mehrkanoon S., Jiang L., Alzate C., Suykens J.A.K., ``Symbolic computing of LS-SVM based models'', in Proc. of the 19th European Symposium on Artificial Neural Networks (ESANN 2011), Bruges, Belgium, Apr. 2011, pp. 183-188.
Lirias number: 294624.

10-261

Lou X., Suykens J.A.K., ``Adaptive synchronizability of coupled oscillators with switching'', in 24th Chinese Control and Decision Conference, CCDC 2012, vol. *, no. *, May 2012, pp. 330-334.
Lirias number: 339595.

10-262

Lou X., Suykens J.A.K., ``Stability of coupled local minimizers within the Lagrange programming network framework'', IEEE Transactions on Circuits and Systems-I, vol. 60, no. 2, Feb. 2013, pp. 377-388.
Lirias number: 344646.

10-272

Komarov M.A., Osipov G.V., Suykens J.A.K., ``Metastable states and transient activity in ensembles of excitatory and inhibitory elements'', EPL (Europhysics Letters), vol. 91, no. 2, Aug. 2010, pp. 20006-.
Lirias number: 276461.

11-01

Varon C., Alzate C., Suykens J.A.K., Debosscher J., ``Kernel Spectral Clustering of Time Series in the CoRoT Exoplanet Database'', Astronomy & Astrophysics, vol. 531, no. A156, Jul. 2011, pp. 1-15.
Lirias number: 307127.

11-29

Alzate C., Suykens J.A.K., ``Out-of-Sample Eigenvectors in Kernel Spectral Clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, U.S.A., Aug. 2011, pp. 2349-2356.
Lirias number: 307263.

11-30

Langone R., Alzate C., Suykens J.A.K., ``Modularity-based model selection for kernel spectral clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, U.S.A., Aug. 2011, pp. 1849-1856.
Lirias number: 306749.

11-34

Hunyadi B., De Vos M., Signoretto M., Suykens J.A.K., Van Paesschen W., Van Huffel S., ``Automatic Seizure Detection Incorporating Structural Information'', in Proc. of the 21st International Conference on Artificial Neural Networks, LNCS 6791 (ICANN 2011), Espoo, Finland, Jun. 2011, pp. 233-240.
Lirias number: 306746.

11-35

De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., ``Kernel Regression in the Presence of Correlated Errors'', Journal of Machine Learning Research, vol. 12, Jun. 2011, pp. 1955 - 1976.
Lirias number: 308481.

11-38

Signoretto M., Olivetti E., De Lathauwer L., Suykens J. A. K., ``Classification of multichannel signals with cumulant-based kernels'', IEEE Transactions on Signal Processing, vol. 60, no. 5, May 2012, pp. 2304 - 2314.
Lirias number: 334221.

11-50

Combaz A., Chumerin N., Manyakov N.V., Robben A., Suykens J.A.K., Van Hulle M.M., ``Towards the detection of Error-Related Potentials and its integration in the context of a P300 Speller Brain-Computer Interface'', Neurocomputing, vol. 80, Mar. 2012, pp. 73-82.
Lirias number: 312813.

11-51

Signoretto M., Van De Plas R., De Moor B., Suykens J. A. K., ``Tensor Versus Matrix Completion: a Comparison with Application to Spectral Data'', IEEE Signal Processing Letters, vol. 18, no. 7, Jul. 2011, pp. 403 - 406.
Lirias number: 312813.

11-55

Falck T., Dreesen P., De Brabanter K., Pelckmans K., De Moor B., Suykens J.A.K., ``Least-Squares Support Vector Machines for the Identification of Wiener-Hammerstein Systems'', Control Engineering Practice, vol. 20, no. 11, Nov. 2012, pp. 1165-1174.
Lirias number: 346866.

11-66

Necoara I., Dumitrache I., Suykens J.A.K., ``Smoothing Techniques-Based Distributed Model Predictive Control Algorithms for Networks'', in Chapter in Time Delay Systems: Methods, Applications and New Trends, (Sipahi R., Vyhlidal T., Niculescu S.-I., and Pepe P., eds.), vol. 423 of Lecture Notes in Control and Information Sciences, Springer, 2012, pp. 307-318.
Lirias number: 355621.

11-72

Falck T., Ohlsson H., Ljung L., Suykens J.A.K., De Moor B., ``Sum-of-norms regularization and kernel based models for segmentation of nonlinear time series'', Technical Report 11-72, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2011.
Lirias number: x.

11-83

Ojeda F., Alzate C., De Moor B., Suykens J.A.K, ``Entropy based selection for spectral clustering'', Technical Report 11-83, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2011.
Lirias number: x.

11-90

De Brabanter K., De Brabanter J., Gijbels I., Suykens J.A.K., De Moor B., ``New Developments in Kernel Regression with Correlated Errors'', in Graybill 2011 Conference on Modern Nonparametric Methods (Graybill), Fort Collins, Colorado, Jun. 2011.
Lirias number: 307885.

11-115

Lou X.Y., Suykens J.A.K., ``Finding Communities in Weighted Networks Through Synchronization'', Chaos, vol. 21, no. 4, Dec. 2011, pp. 043116-.
Lirias number: 319835.

11-122

Mehrkanoon S., Falck T., Suykens J.A.K., ``Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines'', IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 9, Sep. 2012, pp. 1356-1367.
Lirias number: 347934.

11-129

Signoretto M., Tran Dinh Q., De Lathauwer L., Suykens J.A.K., ``Learning with Tensors: a Framework Based on Convex Optimization and Spectral Regularization'', Machine Learning, vol. 94, no. 3, Mar. 2014, pp. 303-351.
Lirias number: 397075.

11-134

De Brabanter K., Suykens J.A.K., De Moor B., ``Nonparametric Regression via StatLSSVM'', Journal of Statistical Software, vol. 55, no. 2, Oct. 2013, pp. --.
Lirias number: 390174.

11-145

Luts J., Verbeke G., Molenberghs G., Suykens J.A.K., ``Confidence intervals for mixed effects least squares support vector regression of longitudinal data'', Technical Report 11-145, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2011.
Lirias number: x.

11-183

Widjaja D., Varon C., Caicedo A., Suykens J.A.K., Van Huffel S., ``Application of Kernel Principal Component Analysis for Single Lead ECG-Derived Respiration'', IEEE Transactions on Biomedical Engineering, vol. 59, no. 4, Apr. 2012, pp. 1169-1176.
Lirias number: 337289.

11-186

Langone R., Alzate C. and Suykens J. A. K., ``Kernel spectral clustering for community detection in complex networks'', in Proc. of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012), Brisbane, Australia, Jun. 2012, pp. 2596-2603.
Lirias number: 339596.

11-187

Mehrkanoon S., Falck T., Suykens J.A.K., ``Parameter Estimation for Time Varying Dynamical Systems using Least Squares Support Vector Machines'', in Proc. of the 16th IFAC Symposium on System Identification ( SYSID 2012), Brussels, Belgium, Jul. 2012, pp. 1300-1305.
Lirias number: 337803.

11-188

Alzate C., Suykens J.A.K., ``Hierarchical Kernel Spectral Clustering'', Neural Networks, vol. 35, Nov. 2012, pp. 21-30.
Lirias number: 351793.

11-203

Marconato A., Sjoberg J., Suykens J.A.K., Schoukens J., ``Separate Initialization of Dynamics and Nonlinearities in Nonlinear State-Space Models'', in Proc. of the 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Graz, Austria, May 2012, pp. 2104 - 2108.
Lirias number: 337806.

11-204

Marconato A., Sjoberg J., Suykens J.A.K., Schoukens J., ``Identification of the Silverbox Benchmark using Nonlinear State-Space Models'', in Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012), Brussels, Belgium, Jul. 2012, pp. 632-637.
Lirias number: 337807.

11-205

Mehrkanoon S., Suykens J.A.K., ``LS-SVM approximate solution to linear time varying descriptor systems'', Automatica, vol. 48, no. 10, Oct. 2012, pp. 2502-2511.
Lirias number: 351796.

11-213

Signoretto M., Suykens J.A.K., ``Convex Estimation of Cointegrated VAR Models by a Nuclear Norm Penalty'', in Proc. of the 16th IFAC Symposium on System Identification (Sysid), Bruxelles,Belgium, Jul. 2012.
Lirias number: 337809.

11-220

Hunyadi B., Signoretto M., Van Huffel S., Suykens J.A.K., De Vos M., ``Incorporating structural information from the multichannel EEG improves patient-specific seizure detection'', Clinical Neurophysiology, vol. 123, no. 12, Dec. 2012, pp. 2352-2361.
Lirias number: 349147.

11-226

Yu S., Tranchevent L., Liu X., Glanzel W., Suykens J.A.K., De Moor B., Moreau Y., ``Optimized data fusion for kernel k-means clustering'', IEEE Transations on Pattern Analysis and Machine Intelligence, vol. 34, no. 5, May 2012, pp. 1031-1038.
Lirias number: 324711.

11-241

Van Belle V., Van Huffel S., Suykens J.A.K., Boyd S., ``Interval coded scoring systems for survival analysis'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2012), Brugge, Belgium, Apr. 2012, pp. 173-178.
Lirias number: 344647.

11-250

Geebelen D., Batselier K., Dreesen P., Signoretto M., Suykens J.A.K., De Moor B., Vandewalle J., ``Joint Regression and Linear Combination of Time Series for Optimal Prediction'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, Apr. 2012.
Lirias number: 337811.

11-265

Hunyadi B., De Vos M., Signoretto M., Suykens JAK., Van Huffel S., Van Paesschen W., ``Patient-specific seizure detection with limited training period'', Proc. of the American Epilepsy Society Annual Meeting 2011 (AES 2011), Baltimore, ML, Dec. 2011.
Lirias number: 369472.

12-05

De Brabanter K., De Brabanter J., Suykens J.A.K., Vandewalle J., De Moor B., ``Robustness of Kernel Based Regression: Influence and Weight Functions'', in Proc. of the 2012 IEEE World Congress on Computational Intelligence (IJCNN), Brisbane, Australia, Jun. 2012, pp. 3387-3394.
Lirias number: 339601.

12-14

Alzate C., Suykens J.A.K., ``A Semi-Supervised Formulation to Binary Kernel Spectral Clustering'', in Proc. of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012), Brisbane, Australia, Jun. 2012, pp. 1992-1999.
Lirias number: 339597.

12-25

Matijas M., Suykens J.A.K., Krajcar S., ``Load Forecasting using a Multivariate Meta-Learning System'', Expert Systems with Applications, vol. 40, no. 11, Sep. 2013, pp. 4427-4437.
Lirias number: 374872.

12-42

Heremans S., Suykens J.A.K., Van Orshoven J., ``Output-normalized neural networks for land cover classification at the subpixel level from medium resolution NDVI time series'', Technical Report 12-42, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-43

Lou X., Suykens J.A.K., ``Hybrid Coupled Local Minimizers'', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 61, no. 2, Feb. 2014, pp. 542-551.
Lirias number: 411100.

12-73

Varon C., Testelmans D., Buyse B., Suykens J.A.K, Van Huffel S., ``Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis'', in Proc. of the 34th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC), San Diego, CA US, Aug. 2012, pp. 3151-3154.
Lirias number: 358583.

12-114

Huang X., Matijas M., Suykens J.A.K., ``Hinging Hyperplanes for Time-Series Segmentation'', IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 8, Aug. 2013, pp. 1279-1291.
Lirias number: 411103.

12-124

Langone R., Alzate C. and Suykens J. A. K., ``Kernel Spectral Clustering with Memory Effect'', Physica A, vol. 392, no. 10, May 2013, pp. 2588-2606.
Lirias number: 377109.

12-131

Van Belle V., Neven P., Harvey V., Van Huffel S., Suykens J.A.K., Boyd S., ``Risk group detection and survival function estimation for interval coded survival methods'', Neurocomputing, vol. 112, Jul. 2013, pp. 200-210.
Lirias number: 374833.

12-145

Huang X., Mehrkanoon S., Suykens J.A.K.., ``Support Vector Machines with Piecewise Linear Feature Mapping'', Neurocomputing, vol. 117, Oct. 2013, pp. 118-127.
Lirias number: 390217.

12-146

Jumutc V., Suykens J.A.K., ``Supervised Novelty Detection'', in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI 2013), Singapore, Singapore, Apr. 2013, pp. 143 - 149.
Lirias number: 402125.

12-147

Mall R., Suykens J.A.K., ``Sparse Variations to Fixed-Size Least Squares Support Vector Machines for Large Scale Data'', Technical Report 12-147, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-148

Mehrkanoon S., Suykens J.A.K., ``LS-SVM based solution for delay differential equations'', in Proc. of the International Conference on Mathematical Modelling in Physical Sciences (IC-MSQUARE 2012), Budapest, Hungary , Sep. 2012, 4 p.
Lirias number: 361388.

12-149

Langone R., Suykens J. A. K., ``Community detection using Kernel Spectral Clustering with memory'', in Proc. of the International Conference on Mathematical Modelling in Physical Sciences (IC-MSQUARE 2012), Budapest, Hungary, Sep. 2012.
Lirias number: 361389.

12-159

Shi L., Huang X., Tian Z., Suykens J.A.K., ``Quantile Regression with L1-regularization and Gaussian Kernels'', Advances in Computational Mathematics, vol. 40, no. 2, Apr. 2014, pp. 517--551.
Lirias number: 417140.

12-162

Huang X., Shi L., Suykens J.A.K., ``Support Vector Machine Classifier with Pinball Loss'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, May 2014, pp. 984--997.
Lirias number: 398845.

12-164

Mall R., Suykens J.A.K., ``Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data'', in Proc. of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), GoldCoast, Australia, Apr. 2013, pp. 161-173.
Lirias number: 372694.

12-179

Pelckmans K., van Waterschoot T., Suykens J.A.K., ``Smooth gradient descent adaptive filtering for efficient acoustic echo cancellation'', Technical Report 12-179, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-185

Mall R., Suykens J.A.K., ``Very Sparse LSSVM Reductions for Large Scale Data'', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 5, Mar. 2015, pp. 1086 - 1097.
Lirias number: 457659.

12-201

Mehrkanoon S., Suykens J.A.K., ``Time varying parameter estimation of delay differential equations using LS-SVMs'', Technical Report 12-201, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-202

Peluffo D., Alzate C., Suykens J.A.K., Castellanos G., ``Optimal data projection for Kernel Spectral Clustering'', Technical Report 12-202, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-203

Arnout S., Suykens J.A.K., Degrande G., De Roeck G., Lombaert G., ``Structural optimization using coupled local minimizers'', Technical Report 12-203, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-211

Langone R., Alzate C., De Ketelaere B., Suykens J.A.K, ``Kernel spectral clustering for predicting maintenance of industrial machines'', in Proc. of the Symposium Series On Computational Intelligence (SSCI 2013), Singapore, Singapore, Apr. 2013, pp. 39-45.
Lirias number: 376492.

12-216

Mall R., Langone R., Suykens J.A.K., ``Fast and Unique Representative Sampling in Community Detection'', Technical Report 12-216, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-217

Signoretto M., Suykens J. A. K., ``DynOpt: Incorporating Dynamics into Mean-Variance Portfolio Optimization'', in IEEE Symposium Series on Computational Intelligence 2013 (SSCI), Singapore, Signapore, Apr. 2013, 7 p.
Lirias number: 390218.

12-226

Installe A., Suykens J., Van Calster B., Van den Bosch T., De Moor B., Timmerman D., ``Continually updating models for ovarian cancer diagnosis'', Technical Report 12-226, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

12-227

Huang X., Shi L., Suykens J.A.K., ``Asymmetric Least Squares Support Vector Machine Classifiers'', Computational Statistics and Data Analysis, vol. 70, Feb. 2014, pp. 395-405.
Lirias number: 418651.

12-233

Mehrkanoon S., Suykens J.A.K., ``Learning Solutions to Partial Differential Equations using LS-SVM'', Neurocomputing, vol. 159, Mar. 2015, pp. 105-116.
Lirias number: 488555.

13-07

Varon C., Testelmans D., Buyse B., Suykens J.A.K., Van Huffel S., ``Sleep apnea classification using least-squares support vector machines on single lead ECG'', in Proc. of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), Osaka, Japan, Jul. 2013, pp. 5029-5032.
Lirias number: 457204.

13-15

Signoretto M., Suykens J.A.K., ``Kernel Methods'', in Chapter 32 (Part D) of Handbook of Computational Intelligence, (Kacprzyk J., and Pedrycz W., eds.), Springer, 2015, pp. 577-605.
Lirias number: 377435.

13-16

Jumutc V., Suykens J.A.K., ``Multi-Class Supervised Novelty Detection'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 12, Dec. 2014, pp. 2510 - 2523.
Lirias number: 458432.

13-22

Mall R., Langone R., Suykens J.A.K., ``FURS: Fast and Unique Representative Subset selection retaining large scale community structure'', Social Network Analysis and Mining, vol. 3, no. 4, Oct. 2013, pp. 1075-1095.
Lirias number: 418659.

13-31

Jumutc V., Huang X., Suykens J.A.K., ``Fixed-Size Pegasos for Hinge and Pinball Loss SVM'', in Proc. of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), Dallas, USA, Aug. 2013, pp. 1122-1128.
Lirias number: 415336.

13-32

Langone R., Mall R., Suykens J.A.K., ``Soft Kernel Spectral Clustering'', in Proc. of the (IJCNN 2013), Dallas, Texas, Aug. 2013, pp. 1028-1035.
Lirias number: 402177.

13-33

Mehrkanoon S., Suykens J.A.K., ``Non-parallel semi-supervised classification based on kernel spectral clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2013), Dallas, U.S.A, Aug. 2013, pp. 2311-2318.
Lirias number: 402179.

13-34

Mall R., Langone R., Suykens J.A.K., ``Kernel Spectral Clustering for Big Data Networks'', Entropy, Special Issue: Big Data, vol. 15, no. 5, May 2013, pp. 1567-1586.
Lirias number: 402180.

13-37

Peluffo D., Garcia S., Langone R., Suykens J.A.K., Castellanos G., ``Kernel Spectral Clustering for dynamic data using Multiple Kernel Learning'', in Proc. of the (IJCNN 2013), Dallas, Texas, Aug. 2013, pp. 1085-1090.
Lirias number: 402181.

13-39

Thomas M., De Brabanter K., Suykens J.A.K., De Moor B., ``Predicting breast cancer using an expression values weighted clinical classifier'', BMC Bioinformatics, vol. 15, no411, 2014, pp. 1-11.
Lirias number: 474772.

13-44

Signoretto M., Cevher V., Suykens J. A. K., ``An SVD-free Approach to a Class of Structured Low Rank Matrix Optimization Problems with Application to System Identification'', Technical Report 13-44, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013.
Lirias number: x.

13-49

Falck T., De Moor B., Suykens J.A.K., ``Kernel based identification of systems with multiple outputs using nuclear norm regularization'', in Book of Abstracts, KU Leuven (Leuven, Belgium), 2013.
Lirias number: 417166.

13-50

Shi L., Huang X., Feng Y., Suykens J.A.K., ``Sparse Kernel Regression with Coefficient-based lq-Regularization'', Journal of Machine Learning Research, vol. 20, Oct. 2019, pp. 1-44.
Lirias number: 2871859.

13-51

Caicedo A., Varon C., Suykens J., van Huffel S., ``Projection Matrices in Reproducing Kernel Hilbert Spaces for Kernel Principal Component Regression'', Technical Report 13-51, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013.
Lirias number: x.

13-52

Huang X., Shi L., Pelckmans K., Suykens J.A.K., ``Asymmetric nu-tube Support Vector Regression'', Computational Statistics and Data Analysis, vol. 77, Sep. 2014, pp. 371-382.
Lirias number: 449411.

13-60

Mehrkanoon S., Mehrkanoon S.D., Suykens J.A.K., ``Parameter estimation of delay differential equations: an integration-free LS-SVM approach'', Communication in Nonlinear Science and Numerical Simulation, vol. 19, no. 4, Apr. 2014, pp. 830-841.
Lirias number: 416501.

13-80

Claesen M., De Smet F., Suykens J., De Moor B., ``EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines'', Journal of Machine Learning Research, http://jmlr.org/papers/v15/claesen14a.html, vol. 15, Jan. 2014, pp. 141-145.
Lirias number: 429662.

13-86

Mall R., Langone R., Suykens J.A.K., ``Self-Tuned Kernel Spectral Clustering for Large Scale Networks'', in Proc. of the IEEE International Conference on Big Data (IEEE BigData 2013), Santa Clara, United States of America, Oct. 2013.
Lirias number: 415346.

13-90

Mall R., Mehrkanoon S., Suykens J.A.K., ``Identifying Intervals for Hierarchical Clustering using the Gershgorin Circle Theorem'', Pattern Recognition Letters, vol. 55, no. 1, Apr. 2015, pp. 1-7.
Lirias number: 488558.

13-93

Suykens J.A.K., ``Introduction to Machine Learning'', in Chapter 13 of Academic Press Library in Signal Processing, ( Theodoridis S., and Chellappa R., eds.), vol. 1 of Signal Processing Theory and Machine Learning, Academic press (Waltham, USA), 2014, pp. 765-774.
Lirias number: 402201.

13-94

Suykens J.A.K., ``Generating quantum-measurement probabilities from an optimality principle'', Physical Review A, vol. 87, no. 5, May 2013, pp. 052134-.
Lirias number: 415058.

13-95

Mall R., Langone R., Suykens J.A.K., ``Highly Sparse Reductions to Kernel Spectral Clustering'', in Proc. of the 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, Dec. 2013, pp. 163-169.
Lirias number: 415350.

13-96

Jumutc V., Suykens J., ``Weighted Coordinate-Wise Pegasos'', in Proc. of the 5th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2013), Kolkata, India, Dec. 2013, pp. 262-269.
Lirias number: 415352.

13-104

Langone R., Alzate C., De Ketelaere B., Vlasselaer J., Meert W., Suykens J.A.K., ``LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines'', Engineering Applications of Artificial Intelligence, vol. 37, Jan. 2015, pp. 268-278.
Lirias number: 463431.

13-111

Mall R., Mehrkanoon S., Langone R., Suykens J.A.K., ``Optimal Reduced Sets for Sparse Kernel Spectral Clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Beijing, China, Jul. 2014, pp. 2436 - 2443.
Lirias number: 444529.

13-118

Suykens J.A.K., Argyriou A., De Brabanter K., Diehl M., Pelckmans K., Signoretto M., Van Belle V., Vandewalle J., (eds.), International workshop on advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013), Book of Abstracts, KU Leuven (Leuven, Belgium), 2013, 128 p.
Lirias number: 410341.

13-123

Huang X., Liu Y., Lei S., Van Huffel S., Suykens J.A.K., ``Two-level l1 Minimization for Compressed Sensing'', Signal Processing, vol. 108, Mar. 2015, pp. 459-475.
Lirias number: 464216.

13-140

Huang X., Shi L., Suykens J.A.K., ``Ramp Loss Linear Programming Support Vector Machine'', Journal of Machine Learning Research, vol. 15, Jun. 2014, pp. 2185-2211.
Lirias number: 442412.

13-141

Langone R., Agudelo M., De Moor B., Suykens J. A. K., ``Incremental kernel spectral clustering for online learning of non-stationary data'', Neurocomputing, vol. 139, Sep. 2014, pp. 246--260.
Lirias number: 442415.

13-146

Mehrkanoon S., Alzate C., Mall R., Langone R., Suykens J.A.K., ``Multi-class semi-supervised learning based upon kernel spectral clustering'', IEEE Transactions on neural networks and learning systems, vol. 26, no. 4, Apr. 2015, pp. 720-733.
Lirias number: 458256.

13-151

Mehrkanoon S., Quirynen R., Diehl M., Suykens J.A.K., ``LSSVM based initialization approach for parameter estimation of dynamical systems'', in Proc. of the International Conference on Mathematical Modelling in Physical Sciences (IC-MSQUARE 2013), Prague, Czech Republic, Sep. 2013, 4 p.
Lirias number: 450264.

13-171

Mall R., El Anbari M., Bensmail H., Suykens J.A.K., ``Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines'', in Proc. of the 19th International Conference on Management of Data (COMAD), Ahmedabad, India, Dec. 2013, pp. 105-108.
Lirias number: 421304.

13-172

Varon C., Alzate C., Suykens J.A.K., ``Noise Level Estimation for Model Selection in Kernel PCA Denoising'', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, Nov. 2015, pp. 2650-2663.
Lirias number: 481513.

13-189

Signoretto M., De Lathauwer L., Suykens J., ``Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties'', Technical Report 13-189, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013.
Lirias number: x.

13-190

Signoretto M., Suykens J. A. K., ``Multilinear Spectral Regularization for Kernel-based Multitask Learning'', in Proc. of the NIPS Workshop New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks, Lake Tahoe, Nevada (US), Dec. 2013, 4 p.
Lirias number: 425751.

13-203

Mall R., Anbari El M., Bensmail H., Suykens J., ``Sparse Reductions to Kernel Spectral Clustering for Microarray Datasets'', Technical Report 13-203, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013.
Lirias number: x.

13-216

Suykens J.A.K., ``Gedrag in complexe netwerken'', in Chapter 9 of Onweerstaanbaar veranderlijk, Over de cultuur van de wetenschap, ( Tollebeek J., Verstraete J.C., and van de Perre E., eds.), Leuven University Press (Leuven, Belgium), 2013, pp. 60-63.
Lirias number: 423094.

13-232

Mall R., Langone R., Suykens J.A.K., ``Agglomerative Hierarchical Kernel Spectral Clustering for Large Scale Networks'', in Proc. of the European Symposium on Artitficial Neural Networks (ESANN), Brugges, Belgium, Apr. 2014.
Lirias number: 442452.

13-236

Jumutc V., Suykens J.A.K., ``Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning'', in Proc. of the 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Bruges, Belgium, Apr. 2014, pp. 1 - 6.
Lirias number: 444536.

13-244

Feng Y., Huang X., Shi L., Yang Y., Suykens J.A.K., ``Learning with the Maximum Correntropy Criterion Induced Losses for Regression'', Journal of Machine Learning Research, vol. 16, May 2015, pp. 993-1034.
Lirias number: 470708.

13-245

Yang Y., Feng Y., Huang X., Suykens J. A. K., ``Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems'', SIAM J. Optim., vol. 26, no. 1, Jan. 2016, pp. 171--196.
Lirias number: 515906.

13-246

Vanderloock K., Vanden Abeele V., Suykens J.A.K., Geurts L., ``The skweezee system: enabling the design and the programming of squeeze interactions'', in Proc. of the26th annual ACM symposium on User interface software and technology, St Andrews, UK, Oct. 2013, pp. 521-530.
Lirias number: 423093.

13-247

Marconato A., Sjoberg J., Suykens J.A.K., Schoukens J., ``Improved Initialization for Nonlinear State-Space Modeling'', IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 4, Apr. 2014, pp. 972-980.
Lirias number: 430463.

14-01

Signoretto M., Suykens J. A. K., ``Identification of Structured Dynamical Systems in Tensor Product Reproducing Kernel Hilbert Spaces'', in 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS2014), Groningen, The Netherlands, Jul. 2014, pp. 1-5.
Lirias number: 457674.

14-07

Mehrkanoon S., Suykens J.A.K, ``Large scale semi-supervised learning using KSC based model'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2014) (IJCNN 2014), Beijing, China, Jul. 2014, pp. 4152-4159.
Lirias number: 444542.

14-09

Huang X., Shi L., Suykens J.A.K., ``Extension of pin-SVM to Negative tau'', Technical Report 14-09, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-10

Huang X., Shi L., Suykens J.A.K., ``Sequential Minimal Optimization for SVM with Pinball Loss'', Neurocomputing, vol. 149, Feb. 2015, pp. 1596--1603.
Lirias number: 463437.

14-14

Castro-Garcia R., Mehrkanoon S., Marconato A., Schoukens J. and Suykens J. A. K., ``SVD truncation schemes for fixed-size kernel models'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Beijing, China, Jun. 2014, pp. 3922-3929.
Lirias number: 444544.

14-22

Claesen M., De Smet F., Suykens J., De Moor B., ``A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models'', Neurocomputing, Special Issue on Advances in Learning With Label Noise, vol. 160, Jul. 2015, pp. 73-84.
Lirias number: 467756.

14-26

Claesen M., De Smet F., Suykens J., De Moor B., ``Fast Prediction with SVM Models Containing RBF Kernels'', Technical Report 14-26, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-33

Langone R., Mall R., Suykens J.A.K., ``Clustering data over time using kernel spectral clustering with memory'', in Proc. of the Symposium Series on Computational Intelligence (SSCI-CIDM), Orlando,Florida, Dec. 2014, pp. 1-8.
Lirias number: 463438.

14-39

Jumutc V., Suykens J.A.K., ``Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning'', in Proc. of the 11th International Symposium on Neural Networks (ISNN 2014), Hong-Kong & Makao, People's Republic of China , Nov. 2014, pp. 232-242.
Lirias number: 460412.

14-42

Mall R., Langone R., Suykens J.A.K., ``Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks'', PLOS One, e99966, vol. 9, no. 6, Jun. 2014, pp. 1-18.
Lirias number: 454147.

14-61

Yang Y., Feng Y., Suykens J.A.K., ``A Nonconvex Relaxation Approach to Robust Matrix Completion'', Technical Report 14-61, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-62

Feng Y., Yang Y., Suykens J. A. K., ``Robust gradient learning with applications'', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 4, Apr. 2016, pp. 822-835.
Lirias number: 494677.

14-68

Mehrkanoon S., Huang X., Suykens J.A.K., ``Non-parallel Support Vector Classifiers with Different Loss Functions'', Neurocomputing, vol. 143, Nov. 2014, pp. 294-301.
Lirias number: 458254.

14-86

Claesen M., De Smet F., Suykens J. A. K., De Moor B., ``Efficient Ensemble Learning With Support Vector Machines'', Proc. of the 23rd Belgian-Dutch Conference on Machine Learning (BENELEARN 2014), Brussels, Belgium, Jun. 2014.
Lirias number: 453744.

14-97

Yang Y., Feng Y., Suykens J.A.K., ``Robust Low Rank Tensor Recovery with Regularized Redescending M-Estimator'', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 9, Sep. 2016, pp. 1933-1946.
Lirias number: 505540.

14-101

Mall R., Suykens J.A.K., ``KSC-net: Community Detection for Big Data Networks'', in Big Data: Algorithms, Analytics, and Applications, (Li K., Jiang H., Yang L., and Cuzzocrea A., eds.), CRC Press, Taylor & Francis Group. (Boca Raton, USA), 2014, pp. 1-20.
Lirias number: 454150.

14-103

Mall R., Langone R., Suykens J.A.K., ``Agglomerative Hierarchical Kernel Spectral Data Clustering'', in Proc. of the IEEE Symposium on Computational Intelligence and Data Mining (SSCI CIDM), Orlando, U.S.A, Dec. 2014, pp. 9 - 16.
Lirias number: 463449.

14-104

Langone R., Alzate C., Bey-Temsamani A., Suykens J. A. K., ``Alarm prediction in industrial machines using autoregressive LS-SVM models'', in Proc. of the Symposium Series on Computational Intelligence (SSCI-CIDM), Orlando,Florida, Dec. 2014, pp. 359-364.
Lirias number: 463451.

14-105

Suykens J.A.K., Signoretto M., Argyriou A., (eds.), Regularization, Optimization, Kernels, and Support Vector Machines, Machine Learning & Pattern Recognition series, Chapman & Hall/CRC (Boca Raton , USA), 2014, 525 p.
Lirias number: 455990.

14-107

Argyriou A., Signoretto M., Suykens J.A.K., ``Hybrid Algorithms with Applications to Sparse and Low Rank Regularization'', in Chapter 3 in Regularization, Optimization, Kernels, and Support Vector Machines, (Suykens J.A.K., Signoretto M., and Argyriou A., eds.), Chapman & Hall/CRC (Boca Raton , USA), 2014, pp. 55-85.
Lirias number: 456274.

14-108

Falck T., De Moor B., Suykens J.A.K., ``Kernel Based Identification of Systems with Multiple Outputs using Nuclear Norm Regularization'', in Chapter 17 in Regularization, Optimization, Kernels, and Support Vector Machines, (Suykens J.A.K., Signoretto M., and Argyriou A., eds.), Chapman & Hall/CRC (Boca Raton, USA), 2014, pp. 387-415.
Lirias number: 456275.

14-109

Jumutc V., Suykens J.A.K., ``New Bilinear Formulation to Semi-Supervised Classification Based on Kernel Spectral Clustering'', in Proc. of the 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, Florida, Dec. 2014, pp. 41-47.
Lirias number: 468450.

14-118

Mall R., Jumutc V., Langone R., Suykens J.A.K., ``Representative Subsets For Big Data Learning using kNN graphs'', in Proc. of the IEEE BigData (BigData), Washington DC, U.S.A., Oct. 2014, pp. 37-42.
Lirias number: 463480.

14-119

Novak M., Alzate C., Langone R., Suykens J.A.K., ``Fast kernel spectral clustering based on incomplete Cholesky factorization for large scale data analysis'', Technical Report 14-119, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-120

Novak M., Alzate C., Langone R., Suykens J.A.K., ``KSC-ICD Package User's Manual'', Technical Report 14-120, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-123

Huang X., Shi L., Suykens J.A.K., ``Solution Path for pin-SVM Classifiers with Postive and Negative tau Values'', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, July. 2017, pp. 1584-1593.
Lirias number: 588434.

14-126

Shang C., Huang X., Suykens J., Huang D., ``Enhancing Dynamic Soft Sensors based on DPLS: a Temporal Smoothness Regularization Approach'', Journal of Process Control, vol. 28, Apr. 2015, pp. 17--26.
Lirias number: 488666.

14-127

Signoretto M., Frandi E., Karevan Z., Suykens J. A. K., ``High Level High Performance Computing for Multitask Learning of Time-varying Models'', in IEEE Symposium on Computational Intelligence in Big Data (IEEE CIBD 2014), Orlando, Florida (USA), Dec. 2014.
Lirias number: 463483.

14-137

Mall R., Langone R., Suykens J.A.K., ``Ranking Overlap and Outlier Points in Data using Soft Kernel Spectal Clustering'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN)}, Bruges, Belgium, Apr. 2015, 6 p.
Lirias number: 488672.

14-138

Signoretto M., Langone R., Pontil M. and Suykens J.A.K., ``Graph Based Regularization for Multilinear Multitask Learning'', Technical Report 14-138, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-150

Moschopoulos C., Popovic D., Langone R., Suykens JAK., De Moor B., Moreau Y., ``Gene interaction networks boost genetic algorithm performance in biomarker discovery'', in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, Dec. 2014, pp. 144-149.
Lirias number: 463538.

14-154

Mehrkanoon S., Agudelo M., Suykens J.A.K, ``Incremental multi-class semi-supervised clustering regularized by Kalman filtering'', Neural Networks, vol. 71, Nov. 2015, pp. 88-104.
Lirias number: 508430.

14-158

Feng Y., Yang Y., Zhao Y., Lv S., Suykens J., ``Learning with Kernelized Elastic Net Regularization'', Technical Report 14-158, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014.
Lirias number: x.

14-165

Installe A., Van den Bosch T., Suykens J., Kaijser J., Van Holsbeke C., De Moor B. and Timmerman D., ``Feasibility of the automation of clinical diagnostic model research'', Ultrasound in Obstetrics & Gynecology (Ultrasound Obstet Gynecol), Barcelona, Spain, Sep. 2014, 71 p.
Lirias number: 465594.

14-168

Li L., Huang X., Suykens J.A.K., ``Signal Recovery for Jointly Sparse Vectors with Diff'', Signal Processing, vol. 108, Mar. 2015, pp. 451-458.
Lirias number: 465597.

14-171

Xi X., Huang X., Suykens J.A.K., Wang S., ``Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines'', Neural Processing Letters, vol. 43, no. 3, Jun. 2016, pp. 887-903.
Lirias number: 503160.

14-174

Frandi E., Nanculef R., Suykens J., ``Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning'', in NIPS Workshop on Optimization for Machine Learning (OPT 2014), Montréal, Canada, Dec. 2014.
Lirias number: 468141.

14-181

Mall R., Langone R., Suykens J.A.K., ``Netgram: Visualizing Communities in Evolving Networks'', Plos One, Sep. 2015, pp. 1-24.
Lirias number: 513027.

14-182

Langone R., Mall R., Vandewalle J., Suykens J. A. K., ``Discovering cluster dynamics using kernel spectral methods'', in Chapter 1 of Complex Systems and Networks, (Jinhu L., Xinghuo Y., Guanrong C., and and Wenwu Y., eds.), vol. 2 of mph{The Springer Series in Understanding Complex Systems}, Springer-Verlag Berlin, 2016, pp. 1-24.
Lirias number: 468756.

14-203

Yang Y., Feng Y., Suykens J.A.K., ``A Rank-One Tensor Updating Algorithm for Tensor Completion'', IEEE Signal Processing Letters, vol. 22, no. 10, Oct. 2015, pp. 1633-1637.
Lirias number: 493888.

15-06

Shang C., Yang F., Gao X., Huang X., Suykens J.A.K., Huang D., ``Concurrent Monitoring of Operating Condition Deviations and Process Dynamics Anomalies With Slow Feature Analysis'', AIChE Journal, vol. 61, no. 11, 2015, pp. 3666-3682.
Lirias number: 503075.

15-12

Frandi E., Nanculef R., Suykens J. A. K., ``A PARTAN-Accelerated Frank-Wolfe Algorithm for Large-Scale SVM Classification'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, Jul. 2015.
Lirias number: 503598.

15-15

Mehrkanoon S., Agudelo M., Mall R., Suykens J.A.K., ``Hierarchical Semi-Supervised Clustering using KSC based model'', in Proc. of the International Joint Conference on Neural Networks 2015 (IJCNN 2015), Killarney, Ireland , Jul. 2015, pp. 1-8.
Lirias number: 493882.

15-19

Mehrkanoon S., Shardt Y.A.W., Suykens J.A.K., Ding S.X., ``Estimating the Unknown Time Delay in Chemical Processes'', Engineering Applications of Artificial Intelligence, vol. 55, Oct. 2016, pp. 219-230.
Lirias number: 554400.

15-21

Mall R., Suykens J.A.K., ``Kernel Spectral Document Clustering Using Unsupervised Precision-Recall Metrics'', in Proc. of the 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, Jul. 2015, pp. 1-7.
Lirias number: 493883.

15-22

Karevan Z., Mehrkanoon S., Suykens J.A.K., ``Black-box modeling for temperature prediction in weather forecasting'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, Jul. 2015, pp. 1-8.
Lirias number: 493885.

15-41

Yang Y., Mehrkanoon S., Suykens J., ``Higher order Matching Pursuit for Low Rank Tensor Learning'', Technical Report 15-41, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015.
Lirias number: x.

15-50

Langone R., Mall R., Alzate C., Suykens J.A.K., ``Kernel Spectral Clustering and applications'', in Chapter 6 of Unsupervised Learning Algorithms, (Celebi M. E., and Aydin K., eds.), Springer International Publishing Switzerland, 2016, pp. 135-161.
Lirias number: 542278.

15-53

Jumutc V., Suykens J.A.K., ``Reweighted Stochastic Learning'', Neurocomputing, Special issue on Advances in Neural Networks, Intelligent Control and Information Processing, vol. 198, Jul. 2016, pp. 135-147.
Lirias number: 558225.

15-60

Castro-Garcia R., Tiels K., Schoukens J., Suykens J.A.K., ``Incorporating Best Linear Approximation within LS-SVM-Based Hammerstein System Identification'', in Proc. of the 54th IEEE Conference on Decision and Control (CDC), Osaka, Japan, Dec. 2015, pp. 7392-7397.
Lirias number: 513274.

15-75

Langone R., Suykens J. A. K., ``Supervised aggregated feature learning for multiple instance classification'', Information Sciences, vol. 375, Jan. 2017, pp. 234-245.
Lirias number: 554564.

15-76

Huang X., Shi L., Yan M., Suykens J.A.K., ``Pinball Loss Minimization for One-bit Compressive Sensing'', Technical Report 15-76, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015.
Lirias number: x.

15-86

Suykens J.A.K., ``SVD revisited: a new variational principle, compatible feature maps and nonlinear extensions'', Applied and Computational Harmonic Analysis, vol. 40, no. 3, May 2016, pp. 600-609.
Lirias number: 509152.

15-93

Frandi E., Nanculef R., Lodi S., Sartori C., Suykens J.A.K., ``Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee'', Machine Learning, vol. 104, no. 2-3, Sep. 2016, pp. 195-221.
Lirias number: 597373.

15-99

Baland A., Mall R., Langone R., Suykens J.A.K., ``Visualization of Hierarchical Communities in Large Scale Networks'', Proc. of the IEEE Information Visualization Conference ( IEEE VIS 2015), Chicago, Illinois (USA), Oct. 2015, pp. 1-2.
Lirias number: 505532.

15-100

Fanuel M., Suykens J.A.K., ``Deformed Laplacians and spectral ranking in directed networks'', Applied and Computational Harmonic Analysis, vol. 47, no. 2, Sep. 2019, pp. 397-422.
Lirias number: 1577475.

15-101

Fanuel M., Suykens J.A.K., ``Coherent States and Wavelets in Least Squares-Support Vector Machines using HHK Transform'', Technical Report 15-101, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015.
Lirias number: x.

15-102

Houthuys L., Langone R., Suykens J.A.K., ``Clustering From Two Data Sources Using a Kernel-Based Approach with Weight Coupling'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, Apr. 2016, pp. 569-574.
Lirias number: 529321.

15-103

Chandorkar M., Mall R., Lauwers O., Suykens J. A. K., De Moor B., ``Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification'', in Proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Cape Town, South Africa, Dec. 2015.
Lirias number: 509154.

15-126

Jumutc V., Langone R., Suykens J.A.K., ``Regularized and Sparse Stochastic K-Means for Distributed Large-Scale Clustering'', in Proc. of the IEEE International Conference on Big Data (IEEE Big Data 2015), Santa Clara, California (USA), Oct. 2015, pp. 2535-2540.
Lirias number: 510300.

15-131

Castro-Garcia R., Tiels K., Agudelo M., Suykens J.A.K., ``Hammerstein system identification through best linear approximation inversion and regularisation'', International Journal of Control, vol. 91, no. 8, Jan. 2018, pp. 1757-1773.
Lirias number: 1577478.

15-142

Feng Y., Lv S., Hang H., Suykens J. A.K., ``Kernelized Elastic Net Regularization: Generalization Bounds and Sparse Recovery'', Neural Computation, vol. 28, no. 3, Mar. 2016, pp. 525-562.
Lirias number: 515979.

15-154

Langone R., Reynders E., Mehrkanoon S., Suykens J. A. K., ``Automated structural health monitoring based on adaptive kernel spectral clustering'', Mechanical Systems and Signal Processing, vol. 90, Jun. 2017, pp. 64-78.
Lirias number: 560875.

15-162

Langone R., Van Barel M., Suykens J. A. K., ``Entropy-based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis'', Entropy, Special Issue on Information Theoretic Learning, vol. 18, no. 182, Jun. 2016, pp. 1-15.
Lirias number: 542281.

15-164

Feng Y., Yang Y., Huang X., Mehrkanoon S., Suykens J., ``Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses'', Neural Computation, vol. 28, no. 6, 2016, pp. 1217-1247.
Lirias number: 527750.

15-179

Jumutc V., Suykens J.A.K., ``SALSA: Software Lab for Advanced Machine Learning with Stochastic Algorithms'', Technical Report 15-179, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015.
Lirias number: x.

15-192

Castro-Garcia R., Agudelo M., Tiels K., Suykens J.A.K, ``Hammerstein System Identification using LS-SVM and Steady State Time Response'', in Proc. of the European Control Conference (ECC), Aalborg, Denmark, Jul. 2016.
Lirias number: 537411.

15-200

Heremans S., Suykens J.A.K., Van Orshoven J., ``The effect of imposing 'fractional abundance constraints' onto the multilayer perceptron for sub-pixel land cover classification'', International Journal of Applied Earth Observation and Geoinformation, vol. 44, Feb. 2016, pp. 226-238.
Lirias number: 515982.

15-203

Langone R., Van Barel M., Suykens J. A. K., ``Efficient Evolutionary Spectral Clustering'', Pattern Recognition Letters, vol. 84, Dec. 2016, pp. 78-84.
Lirias number: 548749.

15-211

Huang X., Suykens J.A.K., Wang S., Maier A., Hornegger J., ``Classification with Truncated l1 Distance Kernel'', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, May 2018, pp. 2025-2030.
Lirias number: 1577479.

15-214

Huang X., Maier A., Hornegger J., Suykens J.A.K., ``Indefinite Kernels in Least Squares Support Vector Machines and Principal Component Analysis'', Applied and Computational Harmonic Analysis, vol. 43, no. 1, Jul. 2017, pp. 162-172.
Lirias number: 557941.

15-215

Hang H., Feng Y., Steinwart I., Suykens J., ``Learning theory estimates with observations from general stationary stochastic processes'', Neural Computation, vol. 28, No. 12, Dec. 2016, pp. 2853-2889.
Lirias number: 542282.

15-222

Langone R., Mall R., Jumutc V., Suykens J. A. K., ``Fast in-memory spectral clustering using a fixed-size approach'', in Proc. of the 24 European Symposium on Artificial Neural Networks, Computational Intelligence and machine Learning (ESANN 2016), Brugge, Belgium, Apr. 2016, pp. 557-562.
Lirias number: 527094.

15-224

Mehrkanoon S., Agudelo M., Suykens J.A.K., ``Online semi-supervised clustering regularized by Kalman filtering'', Book of abstracts of the 34th Benelux Meeting on Systems and Control, Lommel, Belgium, Mar. 2015, 61 p.
Lirias number: 573098.

16-02

Jumutc V., Langone R., Suykens J.A.K., ``Regularized and Distributed Stochastic K-Means in the Presence of Outliers'', Technical Report 16-02, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-03

Houthuys L., Langone R., Suykens J.A.K., ``Multi-view Kernel Spectral Clustering'', Technical Report 16-03, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-05

Karevan Z., Suykens J.A.K., ``Spatio-temporal feature selection for black-box weather forecasting'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN ), Bruges, Belgium, Apr. 2016, pp. 611-616.
Lirias number: 542286.

16-16

Mehrkanoon S., Suykens J.A.K., ``Multi-label semi-supervised learning using regularized Kernel spectral clustering'', in Proc. of the IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2016), Vancouver, Canada , Jul. 2016, pp. 4009-4016.
Lirias number: 542402.

16-17

Shardt Y., Mehrkanoon S., Zhang K., Yang X., Suykens J.A.K., Ding S.X., Peng K., ``Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines'', The Canadian Journal of Chemical Engineering, vol. 96, no. 1, Aug. 2018, pp. 171-178.
Lirias number: 1543422.

16-18

Mehrkanoon S., Suykens J.A.K., ``Regularized Semipaired Kernel CCA for domain adaptation'', IEEE Transactions on neural networks and learning systems, vol. 29, no. 7, Jul. 2018, pp. 3199-3213.
Lirias number: 597375.

16-21

Van Belle V., Van Calster B., Van Huffel S., Suykens J.A.K., Lisboa P., ``Explaining support vector machines: a color based nomogram'', Plos One, vol. 11, no. 10, Oct. 2016, pp. 1-33.
Lirias number: 552325.

16-25

Hang H., Feng Y., Suykens J.A.K., ``Learning from C-mixing Processes'', Technical Report 16-25, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-26

Gauthier B., Suykens J.A.K., ``RKHS, energy, discrepancy and SVM'', Technical Report 16-26, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-29

Fanuel M., Alaiz C. M., Suykens J.A.K., ``Magnetic eigenmaps for community detection in directed networks'', Physical Review E, vol. 95, no. 2, Feb. 2017, 022302 p.
Lirias number: 573108.

16-50

Suykens J.A.K., ``Deep Restricted Kernel Machines using Conjugate Feature Duality'', Neural Computation, vol. 29, no. 8, Aug. 2017, pp. 2123-2163.
Lirias number: 577198.

16-62

Salzo S., Suykens J.A.K., ``Generalized support vector regression: duality and tensor-kernel representation'', Analysis and Applications, special issue on Mathematics of data science, vol. 18, no. 1, Jan. 2020, pp. 149-183.
Lirias number: 2871856.

16-81

Mall R., Bensmail H., Langone R., Varon C., Suykens J., ``Denoised Kernel Spectral Data Clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul. 2016, pp. 3709-3716.
Lirias number: 539745.

16-83

Castro-Garcia R., Suykens J.A.K., ``Wiener System Identification using Best Linear Approximation within the LS-SVM framework'', in Proc. of the 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Cartagena, Colombia, Nov. 2016.
Lirias number: 580085.

16-84

Karevan Z., Suykens J.A.K., ``Clustering-based feature selection for black-box weather temperature prediction'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul. 2016, pp. 1-8.
Lirias number: 542288.

16-111

Mehrkanoon S., Suykens J.A.K., ``Scalable Semi-Supervised Kernel Spectral Learning using Random Fourier Features'', in Proc. of the IEEE Symposium Series on Computational Intelligence ((SSCI-CIDM)), Athens, Greece, Dec. 2016, pp. 1-8.
Lirias number: 554576.

16-116

Aliquintuy M., Frandi E., Nanculef R., Suykens J.A.K., ``Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso'', in CIARP 2016: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lima, Peru, Nov. 2016, pp. 208-216.
Lirias number: 597559.

16-121

Fanuel M., Alaiz C.M., Fernandez A., Suykens J.A.K., ``Magnetic Eigenmaps for the Visualization of Directed Networks'', Applied and Computational Harmonic Analysis, vol. 44, no. 1, Jan. 2018, pp. 189-199.
Lirias number: 1536724.

16-142

Yang Y., Feng Y., Suykens J.A.K., ``Robust Matrix Completion through Nonconvex Approaches and Efficient Algorithms'', in Chapter 8 Handbook of Robust Low-Rank and Sparse Matrix Decomposition, (Bouwmans T., Serhat Aybat N., and Zahzah E., eds.), Chapmann and Hall (London, UK), 2016, pp. 210 -228.
Lirias number: 548760.

16-149

Yang Y., Hu S., De Lathauwer L., Suykens J.A.K., ``Convergence Study of Block Singular Value Maximization Methods for Rank-1 Approximation to Higher Order Tensors'', Technical Report 16-149, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-161

Hang H., Steinwart I., Feng Y., Suykens J. A.K., ``Kernel density estimation for dynamical systems'', Journal of Machine Learning Research, vol. 19, no. *, Sep. 2018, pp. 1-49.
Lirias number: 2242231.

16-165

Langone R., Suykens J. A. K., ``Efficient multiple scale kernel classifiers'', in Proc. of the International Conference on Big Data (IEEE Big Data), Washington D. C., USA, Dec. 2016, pp. 128-133.
Lirias number: 554761.

16-166

Alaiz C.M., Fanuel M., Suykens J.A.K., ``Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning'', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, Aug. 2018, pp. 3863-3869.
Lirias number: 1577477.

16-169

Thomas M., Steenackers H P., De Maeyer M., Suykens J A K., Thijs I., Qing X., Thi Thu Tran T., Van der Eycken E., Vanderleyden J., De Moor B., ``A novel chemoinformatics method based on PCA conversion of the connection-table and weighted LS-SVM applied for identification of biofilm inhibitors'', Technical Report 16-169, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-180

Houthuys L., Karevan Z., Suykens J.A.K., ``Multi-view LS-SVM Regression for Black-Box Temperature Prediction in Weather Forecasting'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Anchorage, USA, May 2017, pp. 1102-1108.
Lirias number: 575381.

16-181

Bottegal G., Suykens J.A.K., ``Probabilistic Matrix Factorization from Quantized Measurements'', in Proc. of the 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, US, May 2017, pp. 270-277.
Lirias number: 1577474.

16-188

Karevan Z., Feng Y., Suykens J.A.K., ``Moving Least Squares Support Vector Machines for weather temperature prediction'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, Apr. 2017, 6 p.
Lirias number: 569835.

16-189

Mehrkanoon S., Suykens J.A.K., ``Regularized Semipaired Kernel CCA for domain adaptation'', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, Jul. 2018, pp. 3199-3213.
Lirias number: 1188189.

16-204

Gauthier B., Suykens J.A.K., ``Optimal quadrature-sparsification for integral operator approximation'', SIAM Journal on Scientific Computing, vol. 40, no. 5, 2018.
Lirias number: 2334552.

16-207

Singaravel S., Geyer P., Suykens J.A.K., ``Component-Based Machine Learning Modelling Approach For Design Stage Building Energy Prediction'', Technical Report 16-207, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016.
Lirias number: x.

16-209

Alaiz C.M., Fanuel M., Suykens J.A.K., ``Robust Classification of Graph-Based Data'', Data Mining and Knowledge Discovery, vol. 33, no. 1, Jan. 2019, pp. 230-251.
Lirias number: 2361833.

16-210

Houthuys L., Langone R., Suykens J.A.K., ``Multi-View Kernel Spectral Clustering'', Information Fusion, vol. 44, Nov. 2018, pp. 46-56.
Lirias number: 604673.

17-05

Chen Z., Batselier K., Suykens J.A.K., Wong N., ``Parallelized Tensor Train Learning of Polynomial Classifiers'', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 10, Oct. 2018, pp. 4621-4632.
Lirias number: 474044.

17-12

Mehrkanoon S., Zell A., Suykens J.A.K., ``Scalable Hybrid Deep Neural Kernel Networks'', in Proc. of the 25th European Symposium on Artificial Neural Networks (ESANN) 2017, Special Session: Deep and kernel methods, Bruges, Belgium, Apr. 2017, pp. 17-22.
Lirias number: 570498.

17-13

Mehrkanoon S., Zell A., Suykens J.A.K., ``Kernel Spectral Learning with Softmax Layer Classifier'', Technical Report 17-13, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017.
Lirias number: x.

17-21

Castro-Garcia R., Agudelo M., Suykens J.A.K., ``Impulse Response Constrained LS-SVM modeling for Hammerstein System Identification'', in Proc. of the 20th World Congress of the International Federation of Automatic Control (IFAC 2017), Toulouse, France , Jul. 2017.
Lirias number: 575384.

17-22

Castro-Garcia R., Agudelo M., Suykens J.A.K., ``Impulse Response Constrained LS-SVM modeling for MIMO Hammerstein System Identification'', International Journal of Control, vol. 92, no. 4, sep 2017, pp. 908-925.
Lirias number: 1577476.

17-23

Castro-Garcia R., Agudelo M., Suykens J.A.K, ``MIMO Hammerstein System Identification using LS-SVM and Steady State Time Response'', in Proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Hawaii, USA, Nov. 2017, pp. 2559-2565.
Lirias number: 593429.

17-24

Castro-Garcia R., Tiels K., Suykens J.A.K., ``Frequency Division LS-SVM for Nonlinear Modeling'', Technical Report 17-24, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017.
Lirias number: x.

17-28

Feng Y., Fan J., Suykens J.A.K., ``A Statistical Learning Approach to Modal Regression'', Journal of Machine Learning Research, vol. 21, no. 2, Feb. 2020, pp. 1-35.
Lirias number: 2941292.

17-38

Bottegal G., Castro-Garcia R., Suykens J.A.K., ``A two-experiment approach to Wiener system identification'', Automatica, vol. 93, Jul. 2018, pp. 282-289.
Lirias number: 1693186.

17-55

Bottegal G., Castro-Garcia R., Suykens J.A.K., ``On the identification of Wiener systems with polynomial nonlinearity'', in Proc. of the2017 IEEE 56th Annual Conference on Decision and Control (CDC 2017), Melbourne, Australia, Dec. 2017, pp. 6475-6480.
Lirias number: 1631742.

17-57

Langone R., Jumutc V., Suykens J. A. K., ``Large-Scale Clustering Algorithms'', in Chapter 1 of Data Science and Big Data: An Environment of Computational Intelligence, (Pedrycz W., and and Chen S.-M., eds.), vol. 24 of Studies in Big Data, Springer International Publishing, 2017, pp. 3-28.
Lirias number: 580101.

17-61

Sopasakis P., Themelis A., Suykens J., Patrinos P., ``A primal-dual line search method and applications in image processing'', in 2017 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, Aug. 2017, pp. 1065-1069.
Lirias number: 1627513.

17-71

Houthuys L., Langone R., Suykens J.A.K., ``Multi-view Least Squares Support Vector Machines Classification'', Neurocomputing, vol. 282, Mar. 2018, pp. 78-88.
Lirias number: 604679.

17-95

Langone R., Suykens J.A.K., ``Fast Kernel Spectral Clustering'', Neurocomputing, vol. 268, Dec. 2017, pp. 27-33.
Lirias number: 583964.

17-105

Alaiz C.M, Suykens J.A.K., ``Modified Frank-Wolfe Algorithm for enhanced sparsity in support vector machine classifiers'', Neurocomputing, vol. 320, Dec. 2018, pp. 47-59.
Lirias number: 2294185.

17-114

Houthuys L., Suykens J.A.K., ``Unpaired Multi-View Kernel Spectral Clustering'', in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI 2017), Hawaii, USA, Nov. 2017, pp. 1307-1313.
Lirias number: 593435.

17-116

Fang H., Huang X., Yang J., Suykens J.A.K., ``Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure'', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 3, Mar. 2019, pp. 765 - 776.
Lirias number: 1999236.

17-139

Karevan Z., Suykens J. A. K., ``Transductive feature selection using clustering-based sample entropy for temperature prediction in weather forecasting'', Entropy, vol. 20, no. 4, Apr. 2018, pp. 1-23.
Lirias number: 1963535.

17-143

Yang Y., Suykens J.A.K., De Lathauwer L., ``On alternating least squares and successive overrelaxation for tensor-based least squares problems : new convergence results'', Technical Report 17-143, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017.
Lirias number: x.

17-148

Singaravel S., Geyer P., Suykens J.A.K., ``Deep Neural Network Architectures for Component-Based Machine Learning Model in Building Energy Predictions'', in Proc. of the European Group for Intelligent Computing in Engineering (EG-ICE), Nottingham, UK, Jul. 2017, pp. 260-268.
Lirias number: 588388.

17-149

Salzo S., Suykens J.A.K., Rosasco L., ``Solving lp-norm regularization with tensor kernels'', in Proc. of thethe Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Lanzarote, Canary Islands, Apr. 2018, pp. 1655-1663.
Lirias number: 2361839.

17-150

Mehrkanoon S., Huang X., Suykens J.A.K., ``Indefinite Kernel Spectral Learning'', Pattern Recognition, vol. 78, Jun. 2018, pp. 144-153.
Lirias number: 2361840.

17-170

Fanuel M., Aspeel A., Delvenne J.C., Suykens J.A.K., ``Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions'', SIAM Journal on Mathematics of Data Science, vol. 4, no. 1, 2022, pp. 153-178.
Lirias number: 3309831.

17-172

Schreurs J., Suykens J.A.K., ``Generative Kernel PCA'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, Apr. 2018, pp. 129-134.
Lirias number: 1693191.

18-22

Yang Y., Feng Y., Suykens J.A.K., ``Correntropy Based Matrix Completion'', Entropy, Special Issue: Entropy in Signal Analysis, vol. 20, no. 3, Mar. 2018, pp. 1-23.
Lirias number: 1645516.

18-75

Karevan Z., Houthuys L., Suykens J. A. K., ``Weighted Multi-view Deep Neural Networks for Weather Forecasting'', in Proc. of the International Conference on Artificial Neural Networks 2018 (ICANN 2018), Rhodes, Greece, Oct. 2018, pp. 489-499.
Lirias number: 2337572.

18-77

Houthuys L., Suykens J.A.K., ``Tensor Learning in Multi-View Kernel PCA'', in Proc. of The 27th International Conference on Artificial Neural Networks (ICANN), Rhodes, Greece, Oct. 2018, pp. 205-215.
Lirias number: 2315680.

18-82

Caicedo A., Varon C., Van Huffel S., Suykens J.A, ``Functional Form Estimation using Oblique Projection Matrices for LS-SVM Regression Models'', Plos One, vol. 14, no. 6, Jun. 2019, e0217967 p.
Lirias number: 2812849.

18-98

Houthuys L., Suykens J.A.K., ``Tensor-based Restricted Kernel Machines for Multi-View Classification'', Information Fusion, vol. 68, Apr. 2021, pp. 54-66.
Lirias number: 3275555.

18-100

Karevan Z., Suykens J.A.K., ``Transductive LSTM for Time-Series Prediction: an Application to Weather Forecasting'', Neural Networks, vol. 125, May 2020, pp. 1-9.
Lirias number: 2941843.

18-101

Kazmi H., Suykens J.A.K., Driesen J., ``Valuing knowledge, information and agency in Multi-agent Reinforcement Learning: a case study in smart buildings'', in Proc. of the17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, Jul. 2018, pp. 585-587.
Lirias number: 2124978.

18-102

Huang X., Shi L., Yan M., Suykens J.A.K., ``Pinball loss minimization for one-bit compressive sensing: convex models and algorithms'', Neurocomputing, vol. 314, no. 7, Nov. 2018, pp. 275-283.
Lirias number: 1995774.

18-106

Mehrkanoon S., Suykens J.A.K., ``Deep hybrid neural-kernel networks using random Fourier features'', Neurocomputing, vol. 298, Jul. 2018, pp. 46-54.
Lirias number: 1637959.

18-107

Singaravel S., Suykens J.A.K., Geyer P., ``Deep-learning neural-network architectures and methods: using component-based models in building-design energy prediction'', Advanced Engineering Informatics, vol. 38, Oct. 2018, pp. 81-90.
Lirias number: 1693175.

18-136

Karevan Z., Suykens J. A. K., ``Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting'', Technical Report 18-136, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018.
Lirias number: x.

18-158

Mehrkanoon S., Blaschko M.B., Suykens J.A.K., ``Shallow and Deep Models for Domain Adaptation problems'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), Brugge, Belgium, Apr. 2018, pp. 291-299.
Lirias number: 2123610.

19-10

Kazmi H., Suykens J.A.K., Balint A., Driesen J., ``Multi-agent reinforcement learning for modeling and control of thermostatically controlled loads'', Applied Energy, vol. 238, Mar. 2019, pp. 1022-1035.
Lirias number: 2363671.

19-11

Tao Q., Xu J., Suykens J.A.K., Wang S., ``Fast Adaptive Hinging Hyperplanes'', in Proc. of the 2018 IEEE Conference on Decision and Control (CDC 2018), Miami Beach FL, USA, Dec. 2018, pp. 1482-1487.
Lirias number: 2363700.

19-12

Liu F., Shi L., Huang X., Yang J., Suykens J.A.K., ``Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions'', Journal of Machine Learning Research, vol. 22, no 38, Jan. 2021, 38 p.
Lirias number: 3612030.

19-66

Pandey A., Schreurs J., Suykens J. A. K., ``Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning'', Neural Networks, vol. 135, no. 0893-6080, Mar. 2021, pp. 177-191.
Lirias number: 3351284.

19-67

Fanuel M., Schreurs J., Suykens J.A.K., ``Nystrom landmark sampling and regularized Christoffel functions'', Machine Learning, vol. 11, 2022, pp. 2213-2254.
Lirias number: 3309833.

19-85

Suykens J.A.K., ``Future Data-driven Modelling'', Proc. of the26th International Workshop on Intelligent Computing in Engineering (EG-ICE 2019), Leuven, Belgium, Jul. 2019.
Lirias number: 2844892.

19-111

Schreurs J., Fanuel M., Suykens J.A.K, ``Towards deterministic diverse subset sampling'', in Proc. of Bogaerts B. et al. (eds) Artificial Intelligence and Machine Learning. BNAIC 2019, BENELEARN 2019. Communications in Computer and Information Science, vol 1196. Springer, Cham. (BNAIC 2019, Benelearn 2019), Brussels, Belgium, Nov. 2019, pp. 137-151.
Lirias number: 2877177.

19-112

Winant D., Schreurs J., Suykens J.A.K., ``Latent Space Exploration Using Generative Kernel PCA'', in Proceedings of Bogaerts B. et al. (eds) Artificial Intelligence and Machine Learning. BNAIC 2019, BENELEARN 2019. Communications in Computer and Information Science, vol 1196. Springer, Cham. (BNAIC 2019, BENELEARN 2019), Brussels, Belgium, Nov. 2019, pp. 70-82.
Lirias number: 2871846.

19-166

Liu F., Huang X., Chen Y., Yang J., Suykens J.A.K., ``Random Fourier Features via Fast Surrogate Leverage Weighted Sampling'', in Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), New York, Feb. 2020, pp. 4844-4851.
Lirias number: 2901393.

19-170

Singaravel S., Suykens J.A.K., Geyer P., ``Deep convolutional learning for general early design stage prediction models'', Advanced Engineering Informatics, vol. 42, Oct. 2019, pp. 100982-.
Lirias number: 2916359.

19-171

Liu F., Huang X., Shi L., Yang J., Suykens J.A.K., ``A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels'', IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 8, Aug. 2020, pp. 2965-2979.
Lirias number: 2851435.

19-172

Orchel M., Suykens J.A.K., ``Axiomatic Kernels on Graphs for Support Vector Machines'', in Artificial Neural Networks and Machine Learning, ICANN 2019: Workshop and Special Sessions. ICANN 2019, (Tetko I., Kurkova V., Karpov P., and Theis F., eds.), vol. 11731 of Lecture Notes in Computer Science, Springer, 2019, pp. 685-700.
Lirias number: 2910929.

19-174

Kazmi H., Suykens J., Driesen J., ``Large-scale transfer learning for data-driven modelling of hot water systems'', in Proc. of the International Building Performance Simulation Association (Building Simulation 2019), Rome, Italy, Sep. 2019, 8 p.
Lirias number: 2862729.

20-10

Pandey A., Schreurs J., Suykens J. A. K., ``Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality'', in Lecture Notes in Computer Science, (Nicosia G., Ojha V., La Malfa E., Jansen G., Sciacca V., Pardalos P., Giuffrida G., and Umeton R., eds.), Proc. of the Machine Learning, Optimization, and Data Science, LOD 2020, Siena, Italy., vol. 12565 of LNCS, pp. 613-624.
Lirias number: 3068794.

20-11

Tao Q., Li Z., Xu J., Wang S., Suykens J.A.K., ``An interpretable deep piecewise linear network and its application to weather forecasting'', Technical Report 20-11, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2020.
Lirias number: x.

20-12

De Plaen H., Fanuel M., Suykens J. A. K., ``Wasserstein Exponential Kernels'', in Proceedings of 2020 International Joint Conference on Neural Networks (IJCC), Glasgow, UK, Jul. 2020, 6 p.
Lirias number: 3005392.

20-13

Liu F., Shi L. Huang X., Yang J., Suykens J.A.K., ``Learning Rates of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces'', Technical Report 20-13, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2020.
Lirias number: x.

20-14

Liu F., Huang X., Chen Y., Suykens J.A.K., ``Towards a Unifying Quadrature Framework for Large-Scale Kernel Machines'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, Nov. 2022, pp. 7975-7988.
Lirias number: 3333594.

20-21

Fanuel M., Schreurs J., Suykens J.A.K., ``Diversity sampling is an implicit regularization for kernel methods'', SIAM Journal on Mathematics of Data Science (SIMODS), vol. 3, no. 1, Feb. 2021, pp. 280-297.
Lirias number: 3309830.

20-66

Liu F., Huang X., Chen Y., Suykens J.A.K., ``Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 10, Oct. 2022, pp. 7128-7148.
Lirias number: 3333593.

20-69

Xu J., Tao Q., Li Z., Xi X., Suykens J.A.K., Wang S., ``Efficient hinging hyperplanes neural network and its application in nonlinear system identification'', Automatica, vol. 116, Jun. 2020, 108906 (art.nb) p.
Lirias number: 3029706.

20-74

Liu F., Huang X., Chen Y., Suykens J.A.K., ``Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures'', in Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS-2021), California, USA, Apr. 2021, pp. 1-11.
Lirias number: 3396560.

20-75

Liu F., Shi L. Huang X., Yang J., Suykens J.A.K., ``Analysis of Regularized Least Squares in Reproducing Kernel Krein Spaces'', Machine Learning Journal, vol. 110, Feb. 2021, pp. 1145-1173.
Lirias number: 3396562.

20-77

De Meulemeester H., Schreurs J., Fanuel M., De Moor B., Suykens J.A.K., ``The Bures Metric for Generative Adversarial Networks'', in Machine Learning and Knowledge Discovery in Databases., (Oliver N., Pérez-Cruz F., Kramer S., Read J., and Lozano J.A., eds.), Research Track. ECML PKDD 2021, vol. 12976 of mph{Lecture Notes in Computer Science}, Springer, Cham., 2021, pp. 52-66.
Lirias number: 3503314.

20-79

Pandey A., Fanuel M., Schreurs J., Suykens J. A. K., ``Disentangled Representation Learning and Generation with Manifold Optimization'', Neural Computation, vol. 34, no. 10, 2022, pp. 2009-2036.
Lirias number: 3752386.

20-88

Schreurs J., Fanuel M., Suykens J.A.K, ``Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes'', in ICML 2020 workshop on Negative Dependence and Submodularity for ML, online conf, Jul 2020, 6 p.
Lirias number: 3061296.

20-106

Schreurs J., Vranckx I., De Ketelaere B., Hubert M., Suykens J.A.K, Rousseeuw P.J., ``Outlier detection in non-elliptical data by kernel MRCD'', Statistics and Computing, vol. 31, Aug. 2021, pp. 1-18.
Lirias number: 3313041.

20-133

Liu F., Liao Z., Suykens J.A.K., ``Kernel regression in high dimension: Refined analysis beyond double descent'', in Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS-2021), California, USA, Apr. 2021, pp. 1-11.
Lirias number: 3396564.

20-150

Fanuel M., Schreurs J., Suykens J.A.K., ``Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems'', SIAM Journal on Mathematics of Data Science, vol. 4, no. 3, 2022, pp. 1171-1190.
Lirias number: 3309825.

20-151

Tonin F., Patrinos P., Suykens J. A.K., ``Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints'', Neural Networks, vol. 142, Oct. 2021, pp. 661-679.
Lirias number: 3515464.

21-24

Villalobos K., Suykens J.A.K., Illarramendi A., ``A flexible alarm prediction system for smart manufacturirng scenarios following a forecaster-analyzer approach'', Journal of Intelligent Manufacturing, vol. 32, 2021, pp. 1323-1344.
Lirias number: 3145283.

21-25

Tonin F., Pandey A., Patrinos P., Suykens J. A.K., ``Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine'', in Proc. of the 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 2021, pp. 1-8.
Lirias number: 3460876.

21-27

Tao Q., Li Z., Xu J., Xie N., Wang S., Suykens J.A.K., ``Learning with continuous piecewise linear decision trees'', Expert Systems with Applications, vol. 168, Apr. 2021, pp. 114214-.
Lirias number: 3395296.

21-28

Orchel M., Suykens J.A.K., ``Fast Hyperparameter Tuning for Support Vector Machines with Stochastic Gradient Descent'', in Machine Learning, Optimization, and Data Science. LOD 2020. Lecture Notes in Computer Science, vol 12566. Springer, (LOD 2020), Siena, Italy, Jul. 2020, pp. 481-493.
Lirias number: 3396521.

21-29

Meulemans A., Carzaniga F., Suykens J.A.K., Sacramento J., Grewe B.F., ``A theoretical framework for target propagation'', in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), - , virtual, Dec. 2020.
Lirias number: 3396522.

21-30

Singaravel S., Suykens J.A.K., Janssen H., Geyer P., ``Explainable deep convolutional learning for intuitive model development by non machine learning domain experts'', Design Science, vol. 6, no. E23, 2020, pp. .
Lirias number: 3217812.

21-63

Theodorakos K., Agudelo M., Schreurs J., Suykens J.A.K., De Moor B., ``Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting'', IEEE Transactions on Evolutionary Computation, vol. 27, no. 4, Aug. 2023, pp. 878-892.
Lirias number: 3440691.

21-68

Schreurs J., De Meulemeester H., Fanuel M., De Moor B., Suykens J.A.K, ``Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks'', in Proc. of the conference on machine Learning, Optimization and Data science (LOD), Grasmere, England, Oct. 2021, 466–480 p.
Lirias number: 3553342.

21-73

Chen Y., Shen X., Hu S.X., Suykens J.A.K, ``Boosting Co-teaching with Compression Regularization for Label Noise'', in CVPR Learning from Limited and Imperfect Data Workshop (L2ID@CVPR2021), New York, Jun. 2021.
Lirias number: 3460913.

21-86

Tao Q., Xu J., Li Z., Xie N., Wang S., Li X., Suykens J., ``Toward Deep Adaptive Hinging Hyperplanes'', IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 11, Nov. 2022, pp. 6373-6387.
Lirias number: 3460879.

21-129

De Cooman B., Suykens J.A.K., Ortseifen A., ``Improving temporal smoothness of deterministic reinforcement learning policies with continuous actions'', in 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021), Esch-sur-Alzette, Luxembourg, Nov. 2021, pp. 217-240.
Lirias number: 3635727.

21-130

Xin M., Mei X., Suykens J.A.K., ``A. novel neural grey system model with Bayesian regularization and its applications'', Neurocomputing, vol. 456, 2021, pp. 61-75.
Lirias number: 3541899.

21-143

Chen Y., Hu S.X., Shen X., Ai C., Suykens J.A.K., ``Compressing Features for Learning with Noisy Labels'', IEEE Transactions on Neural Networks and Learning Systems, vol.35, no. 2, Feb. 2024, pp. 2124-2138.
Lirias number: 3780301.

21-151

Liu F., Suykens J.A.K., Cevher V., ``On the Double Descent of Random Features Models Trained with SGD'', in Advances in Neural Information Processing Systems (Neurips 2022), vol. 35, New Orleans, USA, 2022, pp. 34966-34980.
Lirias number: 4115509.

21-152

Lucassen M., Suykens J.A.K., Batselier K., ``Tensor Network Kalman Filtering for Large-Scale LS-SVMs'', Technical Report 21-152, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2021.
Lirias number: x.

21-154

Evens B., Latafat P., Themelis A., Suykens J., Patrinos P., ``Neural Network Training as an Optimal Control Problem: An Augmented Lagrangian Approach'', in Proc. of the 2021 60th IEEE Conferene on Decision and Control (CDC), Austin, USA, Dec. 2021, pp. 5136-5143.
Lirias number: 3635729.

21-159

Peirelinck T., Kazmi H.S., Mbuwir B., Hermans C., Spiessens F., Suykens J.A.K., Deconinck G., ``Transfer learning in demand response : a Review of algorithms for data-efficient modelling and control'', Energy and AI, vol. 7, Jan. 2022, 100126 p.
Lirias number: 3623392.

22-01

Tao Q., Li Z., Xu J., Lin S., De Schutter B., Suykens J.A.K., ``Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network'', IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, Sep. 2022, pp. 15616-15628.
Lirias number: 3664049.

22-19

He M., He F., Shi L., Huang X., Suykens J.A.K., ``Learning with Asymmetric Kernels: Least Squares and Feature Interpretation'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 8, Aug. 2023, pp. 10044-10054.
Lirias number: 4071716.

22-32

De Cooman B., Suykens J., Ortseifen A., ``Enforcing hard state-dependent action bounds on deep reinforcement learning policies'', in The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science (LOD 2022), Siena, Italy, Sep. 2022, pp. 193-218.
Lirias number: 4085383.

22-52

Tao Q., Tonin F., Patrinos P., Suykens J., ``Tensor-based Multi-view Spectral Clustering via Shared Latent Space'', Information Fusion, vol. 108, Aug. 2024, pp. 1-15.
Lirias number: 4154158.

22-54

Pandey A., De Meulemeester H., De Plaen H., De Moor B., Suykens J.A.K., ``Recurrent Restricted Kernel Machines for Time-series Forecasting'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022) (ESANN 2022), Brugge, Belgium, Oct. 2022.
Lirias number: 3762420.

22-56

Orchel M., Suykens J.A.K., ``Improved update rule and sampling of stochastic gradient descent with extreme early stopping for support vector machines'', in Proc. of the 7th International Conference on Machine Learning, Optimization, and Data Science (LOD), 1st symposium on Artificial Intelligence and Neuroscience (ACAIN), Electr, Network, Oct. 2021 Machine Learning, Optimization, and Data Science, Springer, pp. 147-161.
Lirias number: 3718628.

22-65

Tao Q., Li L., Huang X., Xi X., Wang S., Suykens J., ``Piecewise Linear Neural Networks and Deep Learning'', Nature Reviews Methods Primers, vol. 2, no. 1, Jun. 2022, 43 p.
Lirias number: 3762274.

22-100

Liu J., Tao Q., Zhu C., Liu Y., Suykens J.A.K., ``Tensorized LSSVMs for Multitask Regression'', in Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, Jun. 2023, pp. 1-5.
Lirias number: 4068115.

22-114

Theodorakos K., Agudelo M., Schreurs J., Suykens J.A.K., De Moor B., ``Ozone forecasting across Belgium with co-evolutionary Neural Architecture Search'', Proc. of the BNAIC/BeNeLearn 2022 (BNAIC/BeNeLearn 2022), Mechelen, Belgium, Nov. 2022.
Lirias number: 3955813.

23-01

Chen Y., Shen X., Liu Y., Tao Q., Suykens J.A.K., ``Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer'', Pattern Recognition Letters, vol. 166, Jan. 2023, pp. 53-60.
Lirias number: 3992219.

23-21

Pandey A., De Meulemeester H., De Moor B., Suykens J.A.K., ``Multi-view Kernel PCA for Time series Forecasting'', Neurocomputing, vol. 554, 2023, 126639 p.
Lirias number: 4096293.

23-22

Achten S., Tonin F., Patrinos P., Suykens J. A. K., ``Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification'', in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Mar. 2024, pp. 10766 - 10774.
Lirias number: 4137437.

23-33

Tonin F., Tao Q., Patrinos P., Suykens J.A.K., ``Deep Kernel Principal Component Analysis for Multi-level Feature Learning'', Neural Networks, vol. 170, Feb. 2024, pp. 578-595.
Lirias number: 4123326.

23-63

Novak M., Langone R., Alzate C., Suykens J.A.K., ``Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems'', Technical Report 23-63, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: x.

23-65

De Plaen H., De Plaen P.-F., Suykens J. A. K., Proesmans M., Tuytelaars T., Van Gool L., ``Unbalanced Optimal Transport: A Unified Framework for Object Detection'', Technical Report 23-65, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Lirias number: 4080428.

23-83

Achten S., Pandey A., De Meulemeester H., De Moor B., Suykens J.A.K., ``Duality in Multi-View Restricted Kernel Machines'', Technical Report 23-83, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023. ICML Workshop on Duality for Modern Machine Learning, Honolulu, Hawaii, USA, 2023.
Lirias number: 4096300.

23-84

Chen Y., Tao Q., Tonin F., Suykens J.A.K., ``Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation'', Technical Report 23-84, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in NeurIPS 2023.
Lirias number: 4115499.

23-87

Tonin F., Lambert A., Patrinos P., Suykens J.A.K., ``Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms'', in Proc. of the 40th International Conference on Machine Learning (ICML), Hawai, USA, Jul. 2023, 34379 p.
Lirias number: 4090739.

23-89

Tao Q., Tonin F., Patrinos P., Suykens J. A.K., ``Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nystrom method'', Technical Report 23-89, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: x.

23-91

Tonin F., Patrinos P., Suykens J.A.K., ``Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers'', in Proc. of the ECML PKDD 2023 - Workshop on Simplification, Compression, Efficiency and Frugality for Artificial intelligence, Torino, Italy, Sep. 2023, pp. 5.
Lirias number: 4114023.

23-92

Chowdhury S.R., Suykens J.A.K., ``Equivariant Representation Learning with Equivariant Convolutional Kernel Networks'', Technical Report 23-92, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA, 2023..
Lirias number: 4096261.

23-94

Michiels J., De Vos M., Suykens J.A.K., ``Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions'', Technical Report 23-94, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: x.

23-95

Michiels J., De Vos M., Suykens J.A.K., ``Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value'', Technical Report 23-95, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: x.

23-105

Liu J., Tao Q., Zhu C., Liu Y., Huang X., Suykens J.A.K., ``Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs'', Technical Report 23-105, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: 4016348.

23-126

De Plaen H., Suykens J.A.K., ``A Dual Formulation for Probabilistic Principal Component Analysis'', in ICML 2023 Workshop on Duality Principles for Modern Machine Learning (DP4ML), Honolulu, Hawai, Jul. 2023, pp. 1-13.
Lirias number: 4113994.

23-128

Shi Z., Fan J., Song L., Zhou D.-X., Suykens J.A.K., ``Nonlinear functional regression by functional deep neural network with kernel embedding'', Technical Report 23-128, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: x.

24-13

Shi Z., Liu F., Cao Y., Suykens J.A.K., ``Can overfitted deep neural networks in adversarial training generalize? - An approximation viewpoint'', Technical Report 24-13, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.

24-18

Chen Y., Tao Q., Tonin F., Suykens J., ``Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes'', Technical Report 24-18, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024. Accepted for publication in ICML 2024.
Lirias number: 4157924.

24-28

Kontras K., Chatzichchristos C., Phan H., Suykens J., De Vos M., ``CoRe-Sleep : A multimodal fusion Framework for Time Series Robust to Imperfect Modalities'', IEEE Tranactions on Neural Systems and Rehabilitation Engineering, vol. 32, 2024, pp. 840-849.
Lirias number: 4146863.

24-45

De Cooman B., Suykens J., ``A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints'', Technical Report 24-45, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.

24-61

Tao Q., Tonin F., Lambert A., Chen Y., Patrinos P., Suykens J.A.K., ``Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nystrom method'', Technical Report 24-61, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024. Accepted for publication in The 41st International Conference on Machine Learning (ICML), pp. 1-17.
Lirias number: 4157925.

24-63

He F., He M., Shi L., Huang X., Suykens J.A.K., ``Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels'', Technical Report 24-63, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.

24-64

Zeng X., Tao Q., Suykens J.A.K., ``Feature Learning using Multi-view Kernel Partial Least Squares'', Technical Report 24-64, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024. Accepted for publication in ESANN 2024.
Lirias number: 4164242.

24-67

Achten S., Tonin F., Cevher V., Suykens J. A. K., ``HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity'', Technical Report 24-67, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.

24-71

Tonin F., Lambert A., Suykens J.A.K., Cevher V., ``An Augmented Lagrangian Method for Faster Spectral Clustering with Fairness Constraints'', Technical Report 24-71, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.

24-90

He F., He M., Shi L., Huang X., Suykens J.A.K., ``Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning'', Technical Report 24-90, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.

24-97

Tao Q., Tonin F., Suykens J.A.K., ``Keynotes on Asymmetric Kernel SVD'', Technical Report 24-97, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.