J.A.K. Suykens

Imposing stability in subspace identification by regularization

B. De Moor, P. Van Dooren, J. Suykens, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

On Model Complexity Control in Identification of Hammerstein Systems

B. De Moor, J. Suykens, B. Moor, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Least squares support vector machines and primal space estimation

B. De Moor, M. Espinoza, J. Suykens, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Least squares support vector machine regression for discriminant analysis

B. De Moor, J. Vandewalle, J. De Brabanter, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Image Segmentation using a Weighted Kernel PCA Approach to Spectral Clustering

J. Suykens, C. Alzate, J.A.K. Suykens, 2007, 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing.

Interpolation based MPC for LPV systems using polyhedral invariant sets

B. De Moor, B. Pluymers, J. Suykens, 2005, Proceedings of the 2005, American Control Conference, 2005..

Interpolation based robust MPC with exact constraint handling

B. Pluymers, J.A.K. Suykens, J.A. Rossiter, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?

L. Lukas, S. Van Huffel, A. Heerschap, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Maximal variation and missing values for componentwise support vector machines

B. De Moor, J. De Brabanter, J. Suykens, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..