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• Suykens

Title

identification using neural state space|latent space|latent space|explaining|piecewise|bounded uncertain|gas consumption|interpretable

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.

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.

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.

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.

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.

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.

19-112

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

20-11

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

21-27

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

22-52

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

22-65

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

23-95

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