[STADIUS] [Department of Electrical Engineering (ESAT)] [Faculty of Engineering] [KU Leuven]

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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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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., ``NLq theory and its extension to mu theory'', Internal 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 NLq 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'', Internal Report 94-74, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994., Lirias number: 180026.
94-77
Suykens J.A.K., De Moor B., Vandewalle J., ``NLq 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., ``NLq 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 NLq 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., ``NLq 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'', Internal 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 NLq 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'', Internal 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'', Internal 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., ``NLq 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., ``NLq 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'', Internal 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 NLq 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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)'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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 ?'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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: 181957.
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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'''', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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: 247060.
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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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., Suykens J.A.K., ``Sparse Kernel Regression with Coefficient-based lq-Regularization'', Internal Report 13-50, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013., Lirias number: x.
13-51
Caicedo A., Varon C., Suykens J., van Huffel S., ``Projection Matrices in Reproducing Kernel Hilbert Spaces for Kernel Principal Component Regression'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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 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'', Internal 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'', Internal 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'', Internal 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'', Internal 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 erent Sensing Matrices'', 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'', Internal 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'', Internal 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, 2017, pp. In-press., Lirias number: 597372.
15-101
Fanuel M., Suykens J.A.K., ``Coherent States and Wavelets in Least Squares-Support Vector Machines using HHK Transform'', Internal 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. 0, no. 0, May 2017, pp. 1-17., Lirias number: 586163.
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'', Internal 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'', Internal Report 15-211, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015. Accepted for publication in IEEE Transactions on Nerual Networks and Learning Systems., Lirias number: 588435.
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'', Internal 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'', Internal 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'', Internal Report 16-17, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-18
Mehrkanoon S., Suykens J.A.K., ``Regularized Semipaired Kernel CCA for domain adaptation'', Internal Report 16-18, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016. Accepted for publication in IEEE Transactions on neural networks and learning systems., 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'', Internal 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'', Internal 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'', Internal Report 16-62, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
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 Visualization of Directed Networks'', Applied and Computational Harmonic Analysis, vol. 44, no. *, 2018, pp. 189-199., Lirias number: 580088.
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'', Internal 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'', Internal Report 16-161, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
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 Semi-Supervised Learning'', Internal Report 16-166, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016. Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems, pp. 1-7., Lirias number: 588419.
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'', Internal 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'', Internal Report 16-181, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
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.
16-204
Gauthier B., Suykens J.A.K., ``Optimal quadrature-sparsification for integral operator approximation'', Internal Report 16-204, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-207
Singaravel S., Geyer P., Suykens J.A.K., ``Component-Based Machine Learning Modelling Approach For Design Stage Building Energy Prediction'', Internal 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'', Internal Report 16-209, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
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'', Internal Report 17-05, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
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'', Internal 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. 0, no. 0, Sep. 2017, pp. 1-18., Lirias number: 593427.
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'', Internal 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'', Internal Report 17-28, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-38
Bottegal G., Castro-Garcia R., Suykens J.A.K., ``A two-experiment approach to Wiener system identification'', Internal Report 17-38, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in Automatica., Lirias number: 610354.
17-55
Bottegal G., Castro-Garcia R., Suykens J.A.K., ``On the identification of Wiener systems with polynomial nonlinearity'', Internal Report 17-55, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in 56th IEEE Conference on Decision and Control., Lirias number: 588430.
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'', Internal Report 17-61, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: 578776.
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'', Internal Report 17-105, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
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'', Internal Report 17-116, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-139
Karevan Z., Suykens J. A. K., ``Localized Feature Selection Using Clustering-based Sample Entropy for Temperature Prediction in Weather Forecasting'', Internal Report 17-139, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
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'', Internal 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'', Internal Report 17-149, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in AISTATS 2018., Lirias number: x.
17-150
Mehrkanoon S., Huang X., Suykens J.A.K., ``Indefinite Kernel Spectral Learning'', Internal Report 17-150, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Pattern Recognition., Lirias number: 611974.
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'', Internal Report 17-170, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-172
Schreurs J., Suykens J.A.K., ``Generative Kernel PCA'', Internal Report 17-172, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in ESANN 2018., Lirias number: 613011.
18-22
Yang Y., Feng Y., Suykens J.A.K., ``Correntropy Based Matrix Completion'', Internal Report 18-22, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
18-75
Karevan Z., Houthuys L., Suykens J. A. K., ``Weighted Multi-view Deep Neural Networks for Weather Forecasting'', Internal Report 18-75, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
18-77
Houthuys L., Suykens J.A.K., ``Tensor Learning in Multi-View Kernel PCA'', Internal Report 18-77, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
18-82
Caicedo A., Varon C., Van Huffel S., Suykens J.A, ``Functional Form Estimation using Oblique Projection Matrices for LS-SVM Regression Models'', Internal Report 18-82, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
690 records found.
[STADIUS] [Department of Electrical Engineering (ESAT)] [Faculty of Engineering] [KU Leuven]
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