% csauthors.net - beta - BibTeX bibliography of Johan A. K. Suykens
@article{journals/nn/SuykensMV94,
title = {Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points.},
year = {1994},
journal = {Neural Networks},
author = {{Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}}
}
@inproceedings{conf/esann/SuykensMV95,
title = {NLq theory: unifications in the theory of neural networks, systems and control.},
year = {1995},
booktitle = {ESANN},
author = {{Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}},
booktitle = {3rd European Symposium on Artificial Neural Networks, ESANN 1995, Brussels, Belgium, April 19-21, 1995, Proceedings}
}
@inproceedings{conf/icnn/SuykensV95,
title = {Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modelling and control.},
year = {1995},
booktitle = {ICNN},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27 - December 1, 1995}
}
@inproceedings{conf/icnn/SuykensV95a,
title = {On the identification of a chaotic system by means of recurrent neural state space models.},
year = {1995},
booktitle = {ICNN},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27 - December 1, 1995}
}
@inproceedings{conf/iscas/SuykensV95,
title = {Generalized Cellular Neural Networks Represented in he NLq Framework.},
year = {1995},
booktitle = {ISCAS},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30 - May 3, 1995}
}
@book{books/daglib/0084367,
title = {Artificial neural networks for modelling and control of non-linear systems.},
year = {1996},
isbn = {978-0-7923-9678-9},
publisher = {Kluwer},
author = {{Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@article{journals/ijcta/SuykensV96,
title = {Discrete Time Interconnected Cellular Neural Networks Within NLq Theory.},
year = {1996},
journal = {Int. J. Circuit Theory Appl.},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/npl/SuykensLFMCB96,
title = {Modelling the Belgian Gas Consumption Using Neural Networks.},
year = {1996},
journal = {Neural Process. Lett.},
author = {{Johan A. K. Suykens} and {Philippe Lemmerling} and {Wouter Favoreel} and {Bart De Moor} and {M. Crepel} and {P. Briol}}
}
@inproceedings{conf/icnn/SuykensMV97,
title = {Robust NLq neural control theory.},
year = {1997},
booktitle = {ICNN},
author = {{Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {Proceedings of International Conference on Neural Networks (ICNN'97), Houston, TX, USA, June 9-12, 1997}
}
@article{journals/nn/SuykensMV97,
title = {NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria.},
year = {1997},
journal = {Neural Networks},
author = {{Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}}
}
@article{journals/tsp/SuykensVM97,
title = {NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling.},
year = {1997},
journal = {IEEE Trans. Signal Process.},
author = {{Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@inproceedings{conf/esann/SuykensV98,
title = {Improved generalization ability of neurocontrollers by imposing NLq stability constraints.},
year = {1998},
booktitle = {ESANN},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
booktitle = {6th European Symposium on Artificial Neural Networks, ESANN 1998, Bruges, Belgium, April 22-24, 1998, Proceedings}
}
@article{journals/ejcon/VerrelstASMMV98,
title = {Application of NLq Neural Control Theory to a Ball and Beam System.},
year = {1998},
journal = {Eur. J. Control},
author = {{Herman Verrelst} and {Kristel Van Acker} and {Johan A. K. Suykens} and {Bart Motmans} and {Bart De Moor} and {Joos Vandewalle}}
}
@article{journals/npl/SuykensVV98,
title = {On-Line Learning Fokker-Planck Machine.},
year = {1998},
journal = {Neural Process. Lett.},
author = {{Johan A. K. Suykens} and {Herman Verrelst} and {Joos Vandewalle}}
}
@inproceedings{conf/ijcnn/SuykensV99,
title = {Multiclass least squares support vector machines.},
year = {1999},
booktitle = {IJCNN},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {International Joint Conference Neural Networks, IJCNN 1999, Washington, DC, USA, July 10-16, 1999}
}
@inproceedings{conf/ijcnn/SuykensV99a,
title = {Continuous time NLq theory: absolute stability criteria.},
year = {1999},
booktitle = {IJCNN},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {International Joint Conference Neural Networks, IJCNN 1999, Washington, DC, USA, July 10-16, 1999}
}
@inproceedings{conf/iscas/YalcinSV99,
title = {On the realization of n-scroll attractors.},
year = {1999},
booktitle = {ISCAS (5)},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30 - June 2, 1999}
}
@article{journals/ijcta/SuykensV99,
title = {Chaos control using least‐squares support vector machines.},
year = {1999},
journal = {Int. J. Circuit Theory Appl.},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/npl/SuykensV99,
title = {Least Squares Support Vector Machine Classifiers.},
year = {1999},
journal = {Neural Process. Lett.},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/tac/SuykensVM99,
title = {Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity.},
year = {1999},
journal = {IEEE Trans. Autom. Control.},
author = {{Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@article{journals/tnn/SuykensV99,
title = {Training multilayer perceptron classifiers based on a modified support vector method.},
year = {1999},
journal = {IEEE Trans. Neural Networks},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}}
}
@inproceedings{conf/cdc/GestelSDM00,
title = {Imposing stability in subspace identification by regularization.},
year = {2000},
booktitle = {CDC},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Paul Van Dooren} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {39th IEEE Conference on Decision and Control, CDC 2000, Sydney, Australia, December 12-15, 2000}
}
@inproceedings{conf/esann/SuykensLV00,
title = {Sparse least squares Support Vector Machine classifiers.},
year = {2000},
booktitle = {ESANN},
author = {{Johan A. K. Suykens} and {Lukas Lukas} and {Joos Vandewalle}},
booktitle = {8th European Symposium on Artificial Neural Networks, ESANN 2000, Bruges, Belgium, April 26-28, 2000, Proceedings}
}
@inproceedings{conf/esann/SuykensV00,
title = {The K.U.Leuven competition data: a challenge for advanced neural network techniques.},
year = {2000},
booktitle = {ESANN},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}},
booktitle = {8th European Symposium on Artificial Neural Networks, ESANN 2000, Bruges, Belgium, April 26-28, 2000, Proceedings}
}
@inproceedings{conf/iscas/SuykensLV00,
title = {Sparse approximation using least squares support vector machines.},
year = {2000},
booktitle = {ISCAS},
author = {{Johan A. K. Suykens} and {Lukas Lukas} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2000, Emerging Technologies for the 21st Century, Geneva, Switzerland, 28-31 May 2000, Proceedings}
}
@inproceedings{conf/kes/BaesensVGSDMV00,
title = {An empirical assessment of kernel type performance for least squares support vector machine classifiers.},
year = {2000},
booktitle = {KES},
author = {{Bart Baesens} and {Stijn Viaene} and {Tony Van Gestel} and {Johan A. K. Suykens} and {Guido Dedene} and {Bart De Moor} and {Jan Vanthienen}},
publisher = {IEEE},
booktitle = {Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, KES 2000, Brighton, UK, 30 August - 1 September 2000, Proceedings, 2 Volumes}
}
@inproceedings{conf/pkdd/ViaeneBGSPVMD00,
title = {Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.},
year = {2000},
booktitle = {PKDD},
author = {{Stijn Viaene} and {Bart Baesens} and {Tony Van Gestel} and {Johan A. K. Suykens} and {Dirk Van den Poel} and {Jan Vanthienen} and {Bart De Moor} and {Guido Dedene}},
publisher = {Springer},
booktitle = {Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings}
}
@article{journals/ijbc/SuykensV00,
title = {Chaos Synchronization: a Lagrange Programming Network Approach.},
year = {2000},
journal = {Int. J. Bifurc. Chaos},
author = {{Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/tnn/SuykensMV00,
title = {Robust local stability of multilayer recurrent neural networks.},
year = {2000},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}}
}
@inproceedings{conf/esann/GestelSMV01,
title = {Automatic relevance determination for Least Squares Support Vector Machines classifiers.},
year = {2001},
booktitle = {ESANN},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}},
booktitle = {9th European Symposium on Artificial Neural Networks, ESANN 2001, Bruges, Belgium, April 25-27, 2001, Proceedings}
}
@inproceedings{conf/icann/GestelSBMV01,
title = {Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.},
year = {2001},
booktitle = {ICANN},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Jos De Brabanter} and {Bart De Moor} and {Joos Vandewalle}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings}
}
@article{journals/ejcon/Suykens01,
title = {Support Vector Machines: A Nonlinear Modelling and Control Perspective.},
year = {2001},
journal = {Eur. J. Control},
author = {{Johan A. K. Suykens}}
}
@article{journals/ijbc/SuykensVM01,
title = {Intelligence and Cooperative Search by Coupled Local Minimizers.},
year = {2001},
journal = {Int. J. Bifurc. Chaos},
author = {{Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@article{journals/ijbc/YalcinSV01,
title = {Master-Slave Synchronization of Lur'e Systems with Time-Delay.},
year = {2001},
journal = {Int. J. Bifurc. Chaos},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/ijis/ViaeneBGSPVMD01,
title = {Knowledge discovery in a direct marketing case using least squares support vector machines.},
year = {2001},
journal = {Int. J. Intell. Syst.},
author = {{Stijn Viaene} and {Bart Baesens} and {Tony Van Gestel} and {Johan A. K. Suykens} and {Dirk Van den Poel} and {Jan Vanthienen} and {Bart De Moor} and {Guido Dedene}}
}
@article{journals/ijns/DuhouxSMV01,
title = {Improved Long-Term Temperature Prediction by Chaining of Neural Networks.},
year = {2001},
journal = {Int. J. Neural Syst.},
author = {{Michel Duhoux} and {Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}}
}
@article{journals/nn/SuykensVM01,
title = {Optimal control by least squares support vector machines.},
year = {2001},
journal = {Neural Networks},
author = {{Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@article{journals/tac/GestelSDM01,
title = {Identification of stable models in subspace identification by using regularization.},
year = {2001},
journal = {IEEE Trans. Autom. Control.},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Paul Van Dooren} and {Bart De Moor}}
}
@article{journals/tnn/GestelSBLLVMV01,
title = {Financial time series prediction using least squares support vector machines within the evidence framework.},
year = {2001},
journal = {IEEE Trans. Neural Networks},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Dirk-Emma Baestaens} and {Annemie Lambrechts} and {Gert R. G. Lanckriet} and {Bruno Vandaele} and {Bart De Moor} and {Joos Vandewalle}}
}
@book{books/ws/SuykensGBMV02,
title = {Least Squares Support Vector Machines},
year = {2002},
isbn = {978-981-4487-59-7},
publisher = {World Scientific},
author = {{Johan A. K. Suykens} and {Tony Van Gestel} and {Jos De Brabanter} and {Bart De Moor} and {Joos Vandewalle}}
}
@inproceedings{conf/esann/AmeyeLLBSHDND02,
title = {Prediction of mental development of preterm newborns at birth time using LS-SVM.},
year = {2002},
booktitle = {ESANN},
author = {{Lieveke Ameye} and {Chuan Lu} and {Lukas Lukas} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Sabine Van Huffel} and {Hans Daniels} and {Gunnar Naulaers} and {Hugo Devlieger}},
booktitle = {10th Eurorean Symposium on Artificial Neural Networks, ESANN 2002, Bruges, Belgium, April 24-26, 2002, Proceedings}
}
@inproceedings{conf/esann/LukasDSVHTMA02,
title = {The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals.},
year = {2002},
booktitle = {ESANN},
author = {{Lukas Lukas} and {Andy Devos} and {Johan A. K. Suykens} and {Leentje Vanhamme} and {Sabine Van Huffel} and {Anne Rosemary Tate} and {Carles Majós} and {Carles Arús}},
booktitle = {10th Eurorean Symposium on Artificial Neural Networks, ESANN 2002, Bruges, Belgium, April 24-26, 2002, Proceedings}
}
@inproceedings{conf/icann/BrabanterPSV02,
title = {Robust Cross-Validation Score Function for Non-linear Function Estimation.},
year = {2002},
booktitle = {ICANN},
author = {{Jos De Brabanter} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings}
}
@inproceedings{conf/icann/HamersSM02,
title = {Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models.},
year = {2002},
booktitle = {ICANN},
author = {{Bart Hamers} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings}
}
@article{journals/ijbc/YalcinSVO02,
title = {Families of scroll Grid attractors.},
year = {2002},
journal = {Int. J. Bifurc. Chaos},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Serdar Özoguz}}
}
@article{journals/ijon/SuykensBLV02,
title = {Weighted least squares support vector machines: robustness and sparse approximation.},
year = {2002},
journal = {Neurocomputing},
author = {{Johan A. K. Suykens} and {Jos De Brabanter} and {Lukas Lukas} and {Joos Vandewalle}}
}
@article{journals/neco/GestelSLLMV02,
title = {Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.},
year = {2002},
journal = {Neural Comput.},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Gert R. G. Lanckriet} and {Annemie Lambrechts} and {Bart De Moor} and {Joos Vandewalle}}
}
@article{journals/npl/GestelSLLMV02,
title = {Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.},
year = {2002},
journal = {Neural Process. Lett.},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Gert R. G. Lanckriet} and {Annemie Lambrechts} and {Bart De Moor} and {Joos Vandewalle}}
}
@inproceedings{conf/aime/LuVSVTV03,
title = {Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.},
year = {2003},
booktitle = {AIME},
author = {{Chuan Lu} and {Tony Van Gestel} and {Johan A. K. Suykens} and {Sabine Van Huffel} and {Dirk Timmerman} and {Ignace Vergote}},
publisher = {Springer},
booktitle = {Artificial Intelligence in Medicine, 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings}
}
@inproceedings{conf/cdc/EspinozaSM03,
title = {Least squares support vector machines and primal space estimation.},
year = {2003},
booktitle = {CDC},
author = {{Marcelo Espinoza} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {42nd IEEE Conference on Decision and Control, CDC 2003, Maui, Hawaii, USA, December 9-12, 2003}
}
@inproceedings{conf/cifer/GestelBSEBVM03,
title = {Bankruptcy prediction with least squares support vector machine classifiers.},
year = {2003},
booktitle = {CIFEr},
author = {{Tony Van Gestel} and {Bart Baesens} and {Johan A. K. Suykens} and {Marcelo Espinoza} and {Dirk-Emma Baestaens} and {Jan Vanthienen} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {2003 IEEE International Conference on Computational Intelligence for Financial Engineering, CIFEr 2003, Hong Kong, March 20-23, 2003}
}
@inproceedings{conf/esann/HoegaertsSVM03,
title = {Kernel PLS variants for regression.},
year = {2003},
booktitle = {ESANN},
author = {{Luc Hoegaerts} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}},
booktitle = {11th European Symposium on Artificial Neural Networks, ESANN 2003, Bruges, Belgium, April 23-25, 2003, Proceedings}
}
@inproceedings{conf/iscas/SuykensYV03,
title = {Coupled chaotic simulated annealing processes.},
year = {2003},
booktitle = {ISCAS (3)},
author = {{Johan A. K. Suykens} and {Müstak E. Yalçin} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {Proceedings of the 2003 International Symposium on Circuits and Systems, ISCAS 2003, Bangkok, Thailand, May 25-28, 2003}
}
@inproceedings{conf/nnsp/PelckmansBSM03,
title = {Variogram based noise variance estimation and its use in kernel based regression.},
year = {2003},
booktitle = {NNSP},
author = {{Kristiaan Pelckmans} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {NNSP 2003, IEEE XIII Workshop on Neural Networks for Signal Processing, Toulouse, France, September 17-19, 2003.}
}
@article{journals/artmed/LuGSHVT03,
title = {Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.},
year = {2003},
journal = {Artif. Intell. Medicine},
author = {{Chuan Lu} and {Tony Van Gestel} and {Johan A. K. Suykens} and {Sabine Van Huffel} and {Ignace Vergote} and {Dirk Timmerman}}
}
@article{journals/jors/BaesensGVSSV03,
title = {Benchmarking state-of-the-art classification algorithms for credit scoring.},
year = {2003},
journal = {J. Oper. Res. Soc.},
author = {{Bart Baesens} and {Tony Van Gestel} and {Stijn Viaene} and {M. Stepanova} and {Johan A. K. Suykens} and {Jan Vanthienen}}
}
@article{journals/tac/GoethalsGSDM03,
title = {Identification of positive real models in subspace identification by using regularization.},
year = {2003},
journal = {IEEE Trans. Autom. Control.},
author = {{Ivan Goethals} and {Tony Van Gestel} and {Johan A. K. Suykens} and {Paul Van Dooren} and {Bart De Moor}}
}
@article{journals/tnn/SuykensGVM03,
title = {A support vector machine formulation to PCA analysis and its kernel version.},
year = {2003},
journal = {IEEE Trans. Neural Networks},
author = {{Johan A. K. Suykens} and {Tony Van Gestel} and {Joos Vandewalle} and {Bart De Moor}}
}
@inproceedings{conf/cdc/EspinozaSM04,
title = {Partially linear models and least squares support vector machines.},
year = {2004},
booktitle = {CDC},
author = {{Marcelo Espinoza} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {43rd IEEE Conference on Decision and Control, CDC 2004, Nassau, Bahamas, December 14-17, 2004}
}
@inproceedings{conf/cdc/PluymersSM04,
title = {Linear MPC with time-varying terminal cost using sparse convex combinations and bisection search.},
year = {2004},
booktitle = {CDC},
author = {{Bert Pluymers} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {43rd IEEE Conference on Decision and Control, CDC 2004, Nassau, Bahamas, December 14-17, 2004}
}
@inproceedings{conf/cdc/PluymersSM04a,
title = {Robust finite-horizon MPC using optimal worst-case closed-loop predictions.},
year = {2004},
booktitle = {CDC},
author = {{Bert Pluymers} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {43rd IEEE Conference on Decision and Control, CDC 2004, Nassau, Bahamas, December 14-17, 2004}
}
@inproceedings{conf/esann/PelckmansSM04,
title = {Sparse LS-SVMs using additive regularization with a penalized validation criterion.},
year = {2004},
booktitle = {ESANN},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}},
booktitle = {12th European Symposium on Artificial Neural Networks, ESANN 2004, Bruges, Belgium, April 28-30, 2004, Proceedings}
}
@inproceedings{conf/iconip/HoegaertsSVM04,
title = {A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines.},
year = {2004},
booktitle = {ICONIP},
author = {{Luc Hoegaerts} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings}
}
@inproceedings{conf/iconip/PelckmansSM04,
title = {Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.},
year = {2004},
booktitle = {ICONIP},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings}
}
@inproceedings{conf/iscas/YalcinSV04,
title = {A double scroll based true random bit generator.},
year = {2004},
booktitle = {ISCAS (4)},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {Proceedings of the 2004 International Symposium on Circuits and Systems, ISCAS 2004, Vancouver, BC, Canada, May 23-26, 2004}
}
@inproceedings{conf/sspr/BieSM04,
title = {Learning from General Label Constraints.},
year = {2004},
booktitle = {SSPR/SPR},
author = {{Tijl De Bie} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings}
}
@article{journals/artmed/LukasDSVHMMGTAH04,
title = {Brain tumor classification based on long echo proton MRS signals.},
year = {2004},
journal = {Artif. Intell. Medicine},
author = {{Lukas Lukas} and {Andy Devos} and {Johan A. K. Suykens} and {Leentje Vanhamme} and {Franklyn A. Howe} and {Carles Majós} and {Àngel Moreno-Torres} and {M. Van Der Graaf} and {Anne Rosemary Tate} and {Carles Arús} and {Sabine Van Huffel}}
}
@article{journals/bioinformatics/PochetSSM04,
title = {Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction.},
year = {2004},
journal = {Bioinform.},
author = {{Nathalie Pochet} and {Frank De Smet} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ml/GestelSBVVDMV04,
title = {Benchmarking Least Squares Support Vector Machine Classifiers.},
year = {2004},
journal = {Mach. Learn.},
author = {{Tony Van Gestel} and {Johan A. K. Suykens} and {Bart Baesens} and {Stijn Viaene} and {Jan Vanthienen} and {Guido Dedene} and {Bart De Moor} and {Joos Vandewalle}}
}
@article{journals/tcas/SouzaYSV04,
title = {Toward CNN chip-specific robustness.},
year = {2004},
journal = {IEEE Trans. Circuits Syst. I Regul. Pap.},
author = {{Samuel Xavier de Souza} and {Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/tcas/YalcinSV04,
title = {True random bit generation from a double-scroll attractor.},
year = {2004},
journal = {IEEE Trans. Circuits Syst. I Regul. Pap.},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}}
}
@inproceedings{conf/amcc/PluymersRSM05,
title = {The efficient computation of polyhedral invariant sets for linear systems with polytopic uncertainty.},
year = {2005},
booktitle = {ACC},
author = {{Bert Pluymers} and {John Anthony Rossiter} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005}
}
@inproceedings{conf/amcc/PluymersRSM05a,
title = {Interpolation based MPC for LPV systems using polyhedral invariant sets.},
year = {2005},
booktitle = {ACC},
author = {{Bert Pluymers} and {John Anthony Rossiter} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {American Control Conference, ACC 2005, Portland, OR, USA, 8-10 June, 2005}
}
@inproceedings{conf/cdc/EspinozaSM05,
title = {Imposing Symmetry in Least Squares Support Vector Machines Regression.},
year = {2005},
booktitle = {CDC/ECC},
author = {{Marcelo Espinoza} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005}
}
@inproceedings{conf/cdc/GoethalsPHSM05,
title = {Subspace intersection identification of Hammerstein-Wiener systems.},
year = {2005},
booktitle = {CDC/ECC},
author = {{Ivan Goethals} and {Kristiaan Pelckmans} and {Luc Hoegaerts} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005}
}
@inproceedings{conf/cdc/PelckmansSGM05,
title = {On Model Complexity Control in Identification of Hammerstein Systems.},
year = {2005},
booktitle = {CDC/ECC},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Ivan Goethals} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005}
}
@inproceedings{conf/cdc/RossiterDPSM05,
title = {Interpolation based robust MPC with exact constraint handling.},
year = {2005},
booktitle = {CDC/ECC},
author = {{J. Anthony Rossiter} and {Yihang Ding} and {Bert Pluymers} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005}
}
@inproceedings{conf/csb/PochetJSMVSM05,
title = {M@CBETH: Optimizing Clinical Microarray Classification.},
year = {2005},
booktitle = {CSB Workshops},
author = {{Nathalie Pochet} and {Frizo A. L. Janssens} and {Frank De Smet} and {Kathleen Marchal} and {Ignace Vergote} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE Computer Society},
booktitle = {Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, CSB 2005 Workshops, Stanford, CA, USA, August 8-11, 2005}
}
@inproceedings{conf/icann/PelckmansSM05,
title = {Componentwise Support Vector Machines for Structure Detection.},
year = {2005},
booktitle = {ICANN (2)},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II}
}
@inproceedings{conf/iscas/YalcinSV05,
title = {Spatiotemporal pattern formation in the ACE16k CNN chip.},
year = {2005},
booktitle = {ISCAS (6)},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {International Symposium on Circuits and Systems (ISCAS 2005), 23-26 May 2005, Kobe, Japan}
}
@inproceedings{conf/iwann/EspinozaSM05,
title = {Load Forecasting Using Fixed-Size Least Squares Support Vector Machines.},
year = {2005},
booktitle = {IWANN},
author = {{Marcelo Espinoza} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings}
}
@article{journals/automatica/GoethalsPSM05,
title = {Identification of MIMO Hammerstein models using least squares support vector machines.},
year = {2005},
journal = {Autom.},
author = {{Ivan Goethals} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/automatica/PluymersRBSM05,
title = {Constrained linear MPC with time-varying terminal cost using convex combinations.},
year = {2005},
journal = {Autom.},
author = {{Bert Pluymers} and {L. Roobrouck} and {J. Buijs} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/bioinformatics/PochetJSMSM05,
title = {M@CBETH: a microarray classification benchmarking tool.},
year = {2005},
journal = {Bioinform.},
author = {{Nathalie Pochet} and {Frizo A. L. Janssens} and {Frank De Smet} and {Kathleen Marchal} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/corr/abs-cs-0504086,
title = {Componentwise Least Squares Support Vector Machines},
year = {2005},
journal = {CoRR},
author = {{Kristiaan Pelckmans} and {Ivan Goethals} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ijon/HoegaertsSVM05,
title = {Subset based least squares subspace regression in RKHS.},
year = {2005},
journal = {Neurocomputing},
author = {{Luc Hoegaerts} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@article{journals/ijon/PelckmansBSM05,
title = {The differogram: Non-parametric noise variance estimation and its use for model selection.},
year = {2005},
journal = {Neurocomputing},
author = {{Kristiaan Pelckmans} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ijon/PelckmansSM05,
title = {Building sparse representations and structure determination on LS-SVM substrates.},
year = {2005},
journal = {Neurocomputing},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/nn/PelckmansBSM05,
title = {Handling missing values in support vector machine classifiers.},
year = {2005},
journal = {Neural Networks},
author = {{Kristiaan Pelckmans} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/npl/PelckmansEBSM05,
title = {Primal-Dual Monotone Kernel Regression.},
year = {2005},
journal = {Neural Process. Lett.},
author = {{Kristiaan Pelckmans} and {Marcelo Espinoza} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/scl/PluymersSM05,
title = {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".},
year = {2005},
journal = {Syst. Control. Lett.},
author = {{Bert Pluymers} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/tac/EspinozaSM05,
title = {Kernel based partially linear models and nonlinear identification.},
year = {2005},
journal = {IEEE Trans. Autom. Control.},
author = {{Marcelo Espinoza} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/tac/GoethalsPSM05,
title = {Subspace identification of Hammerstein systems using least squares support vector machines.},
year = {2005},
journal = {IEEE Trans. Autom. Control.},
author = {{Ivan Goethals} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@inproceedings{conf/amcc/PluymersKSM06,
title = {Robust synthesis of constrained linear state feedback using LMIs and polyhedral invariant sets.},
year = {2006},
booktitle = {ACC},
author = {{Bert Pluymers} and {Mayuresh V. Kothare} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006}
}
@inproceedings{conf/ijcnn/AlzateS06,
title = {A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.},
year = {2006},
booktitle = {IJCNN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006}
}
@inproceedings{conf/iscas/YalcinSV06,
title = {Multi-scroll and hypercube attractors from Josephson junctions.},
year = {2006},
booktitle = {ISCAS},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens} and {Joos Vandewalle}},
publisher = {IEEE},
booktitle = {International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006, Island of Kos, Greece}
}
@article{journals/cms/EspinozaSM06,
title = {Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting.},
year = {2006},
journal = {Comput. Manag. Sci.},
author = {{Marcelo Espinoza} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/dss/GestelBDGSV06,
title = {A process model to develop an internal rating system: Sovereign credit ratings.},
year = {2006},
journal = {Decis. Support Syst.},
author = {{Tony Van Gestel} and {Bart Baesens} and {Peter Van Dijcke} and {Joao Garcia} and {Johan A. K. Suykens} and {Jan Vanthienen}}
}
@article{journals/eor/GestelBSPBW06,
title = {Bayesian kernel based classification for financial distress detection.},
year = {2006},
journal = {Eur. J. Oper. Res.},
author = {{Tony Van Gestel} and {Bart Baesens} and {Johan A. K. Suykens} and {Dirk Van den Poel} and {Dirk-Emma Baestaens} and {Marleen Willekens}}
}
@article{journals/ijbc/YalcinS06,
title = {Spatiotemporal Pattern Formation on the ACE16K CNN Chip.},
year = {2006},
journal = {Int. J. Bifurc. Chaos},
author = {{Müstak E. Yalçin} and {Johan A. K. Suykens}}
}
@article{journals/ijcta/SouzaSV06,
title = {Learning of spatiotemporal behaviour in cellular neural networks.},
year = {2006},
journal = {Int. J. Circuit Theory Appl.},
author = {{Samuel Xavier de Souza} and {Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/ml/PelckmansSM06,
title = {Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.},
year = {2006},
journal = {Mach. Learn.},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@inproceedings{conf/esann/PelckmansSM07,
title = {Convex optimization for the design of learning machines.},
year = {2007},
booktitle = {ESANN},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}},
booktitle = {15th European Symposium on Artificial Neural Networks, ESANN 2007, Bruges, Belgium, April 25-27, 2007, Proceedings}
}
@inproceedings{conf/icann/CalsterLSCBTH07,
title = {Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression.},
year = {2007},
booktitle = {ICANN (2)},
author = {{Ben Van Calster} and {Jan Luts} and {Johan A. K. Suykens} and {George Condous} and {Tom Bourne} and {Dirk Timmerman} and {Sabine Van Huffel}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II}
}
@inproceedings{conf/icassp/VandewalleSML07,
title = {State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition.},
year = {2007},
booktitle = {ICASSP (4)},
author = {{Joos Vandewalle} and {Johan A. K. Suykens} and {Bart De Moor} and {Amaury Lendasse}},
publisher = {IEEE},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007}
}
@inproceedings{conf/ijcnn/AlzateS07,
title = {ICA through an LS-SVM based Kernel CCA Measure for Independence.},
year = {2007},
booktitle = {IJCNN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007}
}
@inproceedings{conf/ijcnn/KarsmakersPS07,
title = {Multi-class kernel logistic regression: a fixed-size implementation.},
year = {2007},
booktitle = {IJCNN},
author = {{Peter Karsmakers} and {Kristiaan Pelckmans} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007}
}
@inproceedings{conf/ijcnn/OjedaSM07,
title = {Variable selection by rank-one updates for least squares support vector machines.},
year = {2007},
booktitle = {IJCNN},
author = {{Fabian Ojeda} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007}
}
@inproceedings{conf/interspeech/KarsmakersPSh07,
title = {Fixed-size kernel logistic regression for phoneme classification.},
year = {2007},
booktitle = {INTERSPEECH},
author = {{Peter Karsmakers} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Hugo Van hamme}},
publisher = {ISCA},
booktitle = {INTERSPEECH 2007, 8th Annual Conference of the International Speech Communication Association, Antwerp, Belgium, August 27-31, 2007}
}
@inproceedings{conf/mlg/PelckmansS07,
title = {Transductive Rademacher Complexities for Learning Over a Graph.},
year = {2007},
booktitle = {MLG},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens}},
booktitle = {Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings}
}
@inproceedings{conf/nips/PelckmansSM07,
title = {A Risk Minimization Principle for a Class of Parzen Estimators.},
year = {2007},
booktitle = {NIPS},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {Curran Associates, Inc.},
booktitle = {Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007}
}
@article{journals/artmed/LutsHSH07,
title = {A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection.},
year = {2007},
journal = {Artif. Intell. Medicine},
author = {{Jan Luts} and {Arend Heerschap} and {Johan A. K. Suykens} and {Sabine Van Huffel}}
}
@article{journals/corr/abs-cs-0703055,
title = {Support and Quantile Tubes},
year = {2007},
journal = {CoRR},
author = {{Kristiaan Pelckmans} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ijbc/HillierGSV07,
title = {Partial Synchronization in oscillator Arrays with Asymmetric Coupling.},
year = {2007},
journal = {Int. J. Bifurc. Chaos},
author = {{Dániel Hillier} and {Serkan Günel} and {Johan A. K. Suykens} and {Joos Vandewalle}}
}
@inproceedings{journals/jmlr/PelckmansSSM07,
title = {Margin based Transductive Graph Cuts using Linear Programming.},
year = {2007},
booktitle = {AISTATS},
author = {{Kristiaan Pelckmans} and {John Shawe-Taylor} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {JMLR.org},
booktitle = {Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007}
}
@article{journals/nn/HoegaertsLGSVM07,
title = {Efficiently updating and tracking the dominant kernel principal components.},
year = {2007},
journal = {Neural Networks},
author = {{Luc Hoegaerts} and {Lieven De Lathauwer} and {Ivan Goethals} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}}
}
@article{journals/titb/LuDSAH07,
title = {Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis.},
year = {2007},
journal = {IEEE Trans. Inf. Technol. Biomed.},
author = {{Chuan Lu} and {Andy Devos} and {Johan A. K. Suykens} and {Carles Arús} and {Sabine Van Huffel}}
}
@article{journals/tnn/PelckmansSM07,
title = {A Convex Approach to Validation-Based Learning of the Regularization Constant.},
year = {2007},
journal = {IEEE Trans. Neural Networks},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@inproceedings{conf/cdc/NecoaraDS08,
title = {Application of the proximal center decomposition method to distributed model predictive control.},
year = {2008},
booktitle = {CDC},
author = {{Ion Necoara} and {Minh Dang Doan} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico}
}
@inproceedings{conf/cdc/NecoaraS08,
title = {A proximal center-based decomposition method for multi-agent convex optimization.},
year = {2008},
booktitle = {CDC},
author = {{Ion Necoara} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico}
}
@inproceedings{conf/esann/BellePSH08,
title = {Survival SVM: a practical scalable algorithm.},
year = {2008},
booktitle = {ESANN},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Sabine Van Huffel}},
booktitle = {16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings}
}
@inproceedings{conf/icann/SignorettoPS08,
title = {Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation.},
year = {2008},
booktitle = {ICANN (1)},
author = {{Marco Signoretto} and {Kristiaan Pelckmans} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I}
}
@inproceedings{conf/ijcnn/AlzateS08,
title = {Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition.},
year = {2008},
booktitle = {IJCNN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008}
}
@article{journals/ijcon/ImslandRPS08,
title = {Robust triple mode MPC.},
year = {2008},
journal = {Int. J. Control},
author = {{Lars Imsland} and {J. Anthony Rossiter} and {Bert Pluymers} and {Johan A. K. Suykens}}
}
@article{journals/nn/AlzateS08,
title = {A regularized kernel CCA contrast function for ICA.},
year = {2008},
journal = {Neural Networks},
author = {{Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/nn/OjedaSM08,
title = {Low rank updated LS-SVM classifiers for fast variable selection.},
year = {2008},
journal = {Neural Networks},
author = {{Fabian Ojeda} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/tac/NecoaraS08,
title = {Application of a Smoothing Technique to Decomposition in Convex Optimization.},
year = {2008},
journal = {IEEE Trans. Autom. Control.},
author = {{Ion Necoara} and {Johan A. K. Suykens}}
}
@article{journals/tnn/AlzateS08,
title = {Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function.},
year = {2008},
journal = {IEEE Trans. Neural Networks},
author = {{Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/tnn/Suykens08,
title = {Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point.},
year = {2008},
journal = {IEEE Trans. Neural Networks},
author = {{Johan A. K. Suykens}}
}
@inproceedings{conf/cbms/LutsSHLCHMPMC09,
title = {Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI.},
year = {2009},
booktitle = {CBMS},
author = {{Jan Luts} and {Johan A. K. Suykens} and {Sabine Van Huffel} and {Teresa Laudadio} and {Sofie Van Cauter} and {Uwe Himmelreich} and {Enrique Molla} and {Jose Piquer} and {M. Carmen Martínez-Bisbal} and {Bernardo Celda}},
publisher = {IEEE Computer Society},
booktitle = {Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, August 3-4, 2009, Albuquerque, New Mexico, USA}
}
@inproceedings{conf/cdc/FalckSM09,
title = {Robustness analysis for Least Squares kernel based regression: an optimization approach.},
year = {2009},
booktitle = {CDC},
author = {{Tillmann Falck} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China}
}
@inproceedings{conf/cdc/NecoaraSTSD09,
title = {Distributed nonlinear optimal control using sequential convex programming and smoothing techniques.},
year = {2009},
booktitle = {CDC},
author = {{Ion Necoara} and {Carlo Savorgnan} and {Dinh Quoc Tran} and {Johan A. K. Suykens} and {Moritz Diehl}},
publisher = {IEEE},
booktitle = {Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China}
}
@inproceedings{conf/esann/PelckmansS09,
title = {Transductively Learning from Positive Examples Only.},
year = {2009},
booktitle = {ESANN},
author = {{Kristiaan Pelckmans} and {Johan A. K. Suykens}},
booktitle = {17th European Symposium on Artificial Neural Networks, ESANN 2009, Bruges, Belgium, April 22-24, 2009, Proceedings}
}
@inproceedings{conf/eucc/NecoaraS09,
title = {A dual interior-point distributed algorithm for large-scale data networks optimization.},
year = {2009},
booktitle = {ECC},
author = {{Ion Necoara} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {10th European Control Conference, ECC 2009, Budapest, Hungary, 23-26 August 2009}
}
@inproceedings{conf/eusipco/TsiaflakisNSM09,
title = {An improved dual decomposition approach to DSL dynamic spectrum management.},
year = {2009},
booktitle = {EUSIPCO},
author = {{Paschalis Tsiaflakis} and {Ion Necoara} and {Johan A. K. Suykens} and {Marc Moonen}},
publisher = {IEEE},
booktitle = {17th European Signal Processing Conference, EUSIPCO 2009, Glasgow, Scotland, UK, August 24-28, 2009}
}
@inproceedings{conf/icann/AlzateEMS09,
title = {Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering.},
year = {2009},
booktitle = {ICANN (2)},
author = {{Carlos Alzate} and {Marcelo Espinoza} and {Bart De Moor} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II}
}
@inproceedings{conf/icann/BellePSH09,
title = {MINLIP: Efficient Learning of Transformation Models.},
year = {2009},
booktitle = {ICANN (1)},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Sabine Van Huffel}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I}
}
@inproceedings{conf/icann/BrabanterPBDSHM09,
title = {Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.},
year = {2009},
booktitle = {ICANN (1)},
author = {{Kris De Brabanter} and {Kristiaan Pelckmans} and {Jos De Brabanter} and {Michiel Debruyne} and {Johan A. K. Suykens} and {Mia Hubert} and {Bart De Moor}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I}
}
@inproceedings{conf/icmla/CombazMCSH09,
title = {Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling.},
year = {2009},
booktitle = {ICMLA},
author = {{Adrien Combaz} and {Nikolay V. Manyakov} and {Nikolay Chumerin} and {Johan A. K. Suykens} and {Marc M. Van Hulle}},
publisher = {IEEE Computer Society},
booktitle = {International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009}
}
@inproceedings{conf/ijcnn/AlzateS09,
title = {A regularized formulation for spectral clustering with pairwise constraints.},
year = {2009},
booktitle = {IJCNN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE Computer Society},
booktitle = {International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009}
}
@inproceedings{conf/iwann/BellePSH09,
title = {Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.},
year = {2009},
booktitle = {IWANN (1)},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Sabine Van Huffel}},
publisher = {Springer},
booktitle = {Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I}
}
@inproceedings{conf/ki/ChumerinMCSYTMNHH09,
title = {P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface.},
year = {2009},
booktitle = {KI},
author = {{Nikolay Chumerin} and {Nikolay V. Manyakov} and {Adrien Combaz} and {Johan A. K. Suykens} and {Refet Firat Yazicioglu} and {Tom Torfs} and {Patrick Merken} and {Herc P. Neves} and {Chris Van Hoof} and {Marc M. Van Hulle}},
publisher = {Springer},
booktitle = {KI 2009: Advances in Artificial Intelligence, 32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009. Proceedings}
}
@article{journals/tit/PelckmansBSM09,
title = {Least conservative support and tolerance tubes.},
year = {2009},
journal = {IEEE Trans. Inf. Theory},
author = {{Kristiaan Pelckmans} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@inproceedings{conf/cdc/FalckSM10,
title = {Linear parametric noise models for Least Squares Support Vector Machines.},
year = {2010},
booktitle = {CDC},
author = {{Tillmann Falck} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA}
}
@inproceedings{conf/cdc/FalckSSM10,
title = {Nuclear norm regularization for overparametrized Hammerstein systems.},
year = {2010},
booktitle = {CDC},
author = {{Tillmann Falck} and {Johan A. K. Suykens} and {Johan Schoukens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA}
}
@inproceedings{conf/cdc/NecoaraDS10,
title = {Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization.},
year = {2010},
booktitle = {CDC},
author = {{Ion Necoara} and {Ioan Dumitrache} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA}
}
@inproceedings{conf/cogip/SignorettoPLS10,
title = {Improved non-parametric sparse recovery with data matched penalties.},
year = {2010},
booktitle = {CIP},
author = {{Marco Signoretto} and {Kristiaan Pelckmans} and {Lieven De Lathauwer} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2nd International Workshop on Cognitive Information Processing, CIP 2010, Elba, Italy, 14-16 June, 2010}
}
@inproceedings{conf/esann/AlzateS10,
title = {Highly sparse kernel spectral clustering with predictive out-of-sample extensions.},
year = {2010},
booktitle = {ESANN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
booktitle = {18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings}
}
@inproceedings{conf/esann/BellePSH10,
title = {On the use of a clinical kernel in survival analysis.},
year = {2010},
booktitle = {ESANN},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Sabine Van Huffel}},
booktitle = {18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings}
}
@inproceedings{conf/eusipco/PelckmansWS10,
title = {Efficient adaptive filtering for smooth linear FIR models.},
year = {2010},
booktitle = {EUSIPCO},
author = {{Kristiaan Pelckmans} and {Toon van Waterschoot} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {18th European Signal Processing Conference, EUSIPCO 2010, Aalborg, Denmark, August 23-27, 2010}
}
@inproceedings{conf/icann/SignorettoLS10,
title = {Kernel-Based Learning from Infinite Dimensional 2-Way Tensors.},
year = {2010},
booktitle = {ICANN (2)},
author = {{Marco Signoretto} and {Lieven De Lathauwer} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II}
}
@inproceedings{conf/ijcnn/OjedaFMS10,
title = {Polynomial componentwise LS-SVM: Fast variable selection using low rank updates.},
year = {2010},
booktitle = {IJCNN},
author = {{Fabian Ojeda} and {Tillmann Falck} and {Bart De Moor} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010}
}
@inproceedings{conf/prib/OjedaSPWMS10,
title = {Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging.},
year = {2010},
booktitle = {PRIB},
author = {{Fabian Ojeda} and {Marco Signoretto} and {Raf Van de Plas} and {Etienne Waelkens} and {Bart De Moor} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Pattern Recognition in Bioinformatics - 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010. Proceedings}
}
@article{journals/bmcbi/YuFDTSMM10,
title = {L2-norm multiple kernel learning and its application to biomedical data fusion.},
year = {2010},
journal = {BMC Bioinform.},
author = {{Shi Yu} and {Tillmann Falck} and {Anneleen Daemen} and {Léon-Charles Tranchevent} and {Johan A. K. Suykens} and {Bart De Moor} and {Yves Moreau}}
}
@article{journals/csda/BrabanterBSM10,
title = {Optimized fixed-size kernel models for large data sets.},
year = {2010},
journal = {Comput. Stat. Data Anal.},
author = {{Kris De Brabanter} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ma/DebruyneCHS10,
title = {Robustness of reweighted Least Squares Kernel Based Regression.},
year = {2010},
journal = {J. Multivar. Anal.},
author = {{Michiel Debruyne} and {Andreas Christmann} and {Mia Hubert} and {Johan A. K. Suykens}}
}
@article{journals/pami/AlzateS10,
title = {Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA.},
year = {2010},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/tsmc/SouzaSVB10,
title = {Coupled Simulated Annealing.},
year = {2010},
journal = {IEEE Trans. Syst. Man Cybern. Part B},
author = {{Samuel Xavier de Souza} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Désiré Bollé}}
}
@article{journals/tsp/TsiaflakisNSM10,
title = {Improved dual decomposition based optimization for DSL dynamic spectrum management.},
year = {2010},
journal = {IEEE Trans. Signal Process.},
author = {{Paschalis Tsiaflakis} and {Ion Necoara} and {Johan A. K. Suykens} and {Marc Moonen}}
}
@inproceedings{conf/esann/LazaroBDS11,
title = {Sparse LS-SVMs with L0 - norm minimization.},
year = {2011},
booktitle = {ESANN},
author = {{Jorge López Lázaro} and {Kris De Brabanter} and {José R. Dorronsoro} and {Johan A. K. Suykens}},
booktitle = {19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings}
}
@inproceedings{conf/esann/MehrkanoonJAS11,
title = {Symbolic computing of LS-SVM based models.},
year = {2011},
booktitle = {ESANN},
author = {{Siamak Mehrkanoon} and {Li Jiang} and {Carlos Alzate} and {Johan A. K. Suykens}},
booktitle = {19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings}
}
@inproceedings{conf/icann/HunyadiVSSPH11,
title = {Automatic Seizure Detection Incorporating Structural Information.},
year = {2011},
booktitle = {ICANN (1)},
author = {{Borbála Hunyadi} and {Maarten De Vos} and {Marco Signoretto} and {Johan A. K. Suykens} and {Wim Van Paesschen} and {Sabine Van Huffel}},
publisher = {Springer},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I}
}
@inproceedings{conf/ijcnn/AlzateS11,
title = {Out-of-sample eigenvectors in kernel spectral clustering.},
year = {2011},
booktitle = {IJCNN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011}
}
@inproceedings{conf/ijcnn/LangoneAS11,
title = {Modularity-based model selection for kernel spectral clustering.},
year = {2011},
booktitle = {IJCNN},
author = {{Rocco Langone} and {Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011}
}
@article{journals/artmed/BellePHS11,
title = {Support vector methods for survival analysis: a comparison between ranking and regression approaches.},
year = {2011},
journal = {Artif. Intell. Medicine},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Sabine Van Huffel} and {Johan A. K. Suykens}}
}
@article{journals/bioinformatics/BellePHS11,
title = {Improved performance on high-dimensional survival data by application of Survival-SVM.},
year = {2011},
journal = {Bioinform.},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Sabine Van Huffel} and {Johan A. K. Suykens}}
}
@article{journals/bioinformatics/YuLTGSMM11,
title = {Optimized data fusion for K-means Laplacian clustering.},
year = {2011},
journal = {Bioinform.},
author = {{Shi Yu} and {Xinhai Liu} and {Léon-Charles Tranchevent} and {Wolfgang Glänzel} and {Johan A. K. Suykens} and {Bart De Moor} and {Yves Moreau}}
}
@article{journals/cbm/PostmaLIJMGSHHB11,
title = {On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation.},
year = {2011},
journal = {Comput. Biol. Medicine},
author = {{Geert J. Postma} and {Jan Luts} and {Albert J. Idema} and {Margarida Julià-Sapé} and {Àngel Moreno-Torres} and {Witek Gajewicz} and {Johan A. K. Suykens} and {Arend Heerschap} and {Sabine Van Huffel} and {Lutgarde M. C. Buydens}}
}
@article{journals/ijon/AlzateS11,
title = {Sparse kernel spectral clustering models for large-scale data analysis.},
year = {2011},
journal = {Neurocomputing},
author = {{Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/jmlr/BellePSH11,
title = {Learning Transformation Models for Ranking and Survival Analysis.},
year = {2011},
journal = {J. Mach. Learn. Res.},
author = {{Vanya Van Belle} and {Kristiaan Pelckmans} and {Johan A. K. Suykens} and {Sabine Van Huffel}}
}
@article{journals/jmlr/BrabanterBSM11,
title = {Kernel Regression in the Presence of Correlated Errors.},
year = {2011},
journal = {J. Mach. Learn. Res.},
author = {{Kris De Brabanter} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ml/KarsmakersPBhS11,
title = {Sparse conjugate directions pursuit with application to fixed-size kernel models.},
year = {2011},
journal = {Mach. Learn.},
author = {{Peter Karsmakers} and {Kristiaan Pelckmans} and {Kris De Brabanter} and {Hugo Van hamme} and {Johan A. K. Suykens}}
}
@article{journals/nn/SignorettoLS11,
title = {A kernel-based framework to tensorial data analysis.},
year = {2011},
journal = {Neural Networks},
author = {{Marco Signoretto} and {Lieven De Lathauwer} and {Johan A. K. Suykens}}
}
@article{journals/npl/LopezS11,
title = {First and Second Order SMO Algorithms for LS-SVM Classifiers.},
year = {2011},
journal = {Neural Process. Lett.},
author = {{Jorge López Lázaro} and {Johan A. K. Suykens}}
}
@article{journals/spl/SignorettoPMS11,
title = {Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data.},
year = {2011},
journal = {IEEE Signal Process. Lett.},
author = {{Marco Signoretto} and {Raf Van de Plas} and {Bart De Moor} and {Johan A. K. Suykens}}
}
@article{journals/tnn/BrabanterBSM11,
title = {Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.},
year = {2011},
journal = {IEEE Trans. Neural Networks},
author = {{Kris De Brabanter} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@inproceedings{conf/embc/VaronTBSH12,
title = {Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis.},
year = {2012},
booktitle = {EMBC},
author = {{Carolina Varon} and {Dries Testelmans} and {Bertien Buyse} and {Johan A. K. Suykens} and {Sabine Van Huffel}},
publisher = {IEEE},
booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, San Diego, CA, USA, August 28 - September 1, 2012}
}
@inproceedings{conf/esann/BelleHSB12,
title = {Interval coded scoring systems for survival analysis.},
year = {2012},
booktitle = {ESANN},
author = {{Vanya Van Belle} and {Sabine Van Huffel} and {Johan A. K. Suykens} and {Stephen P. Boyd}},
booktitle = {20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012}
}
@inproceedings{conf/esann/GeebelenBDSSMV12,
title = {Joint Regression and Linear Combination of Time Series for Optimal Prediction.},
year = {2012},
booktitle = {ESANN},
author = {{Dries Geebelen} and {Kim Batselier} and {Philippe Dreesen} and {Marco Signoretto} and {Johan A. K. Suykens} and {Bart De Moor} and {Joos Vandewalle}},
booktitle = {20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012}
}
@inproceedings{conf/ijcnn/AlzateS12,
title = {A semi-supervised formulation to binary kernel spectral clustering.},
year = {2012},
booktitle = {IJCNN},
author = {{Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012}
}
@inproceedings{conf/ijcnn/BrabanterBSVM12,
title = {Robustness of kernel based regression: Influence and weight functions.},
year = {2012},
booktitle = {IJCNN},
author = {{Kris De Brabanter} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012}
}
@inproceedings{conf/ijcnn/LangoneAS12,
title = {Kernel spectral clustering for community detection in complex networks.},
year = {2012},
booktitle = {IJCNN},
author = {{Rocco Langone} and {Carlos Alzate} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012}
}
@article{journals/automatica/MehrkanoonS12,
title = {LS-SVM approximate solution to linear time varying descriptor systems.},
year = {2012},
journal = {Autom.},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/csda/LutsMVHS12,
title = {A mixed effects least squares support vector machine model for classification of longitudinal data.},
year = {2012},
journal = {Comput. Stat. Data Anal.},
author = {{Jan Luts} and {Geert Molenberghs} and {Geert Verbeke} and {Sabine Van Huffel} and {Johan A. K. Suykens}}
}
@article{journals/ijon/CombazCMRSH12,
title = {Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface.},
year = {2012},
journal = {Neurocomputing},
author = {{Adrien Combaz} and {Nikolay Chumerin} and {Nikolay V. Manyakov} and {Arne Robben} and {Johan A. K. Suykens} and {Marc M. Van Hulle}}
}
@article{journals/nn/AlzateS12,
title = {Hierarchical kernel spectral clustering.},
year = {2012},
journal = {Neural Networks},
author = {{Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/pami/YuTLGSMM12,
title = {Optimized Data Fusion for Kernel k-Means Clustering.},
year = {2012},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Shi Yu} and {Léon-Charles Tranchevent} and {Xinhai Liu} and {Wolfgang Glänzel} and {Johan A. K. Suykens} and {Bart De Moor} and {Yves Moreau}}
}
@article{journals/pr/BrabanterKBSM12,
title = {Confidence bands for least squares support vector machine classifiers: A regression approach.},
year = {2012},
journal = {Pattern Recognit.},
author = {{Kris De Brabanter} and {Peter Karsmakers} and {Jos De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/tbe/WidjajaVDSH12,
title = {Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration.},
year = {2012},
journal = {IEEE Trans. Biomed. Eng.},
author = {{Devy Widjaja} and {Carolina Varon} and {Alexander Dorado} and {Johan A. K. Suykens} and {Sabine Van Huffel}}
}
@article{journals/tnn/GeebelenSV12,
title = {Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation.},
year = {2012},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Dries Geebelen} and {Johan A. K. Suykens} and {Joos Vandewalle}}
}
@article{journals/tnn/MehrkanoonFS12,
title = {Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines.},
year = {2012},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Siamak Mehrkanoon} and {Tillmann Falck} and {Johan A. K. Suykens}}
}
@article{journals/tsp/SignorettoOLS12,
title = {Classification of Multichannel Signals With Cumulant-Based Kernels.},
year = {2012},
journal = {IEEE Trans. Signal Process.},
author = {{Marco Signoretto} and {Emanuele Olivetti} and {Lieven De Lathauwer} and {Johan A. K. Suykens}}
}
@inproceedings{conf/bigdataconf/MallLS13,
title = {Self-tuned kernel spectral clustering for large scale networks.},
year = {2013},
booktitle = {IEEE BigData},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}},
publisher = {IEEE Computer Society},
booktitle = {2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA}
}
@inproceedings{conf/cidm/JumutcS13,
title = {Supervised Novelty Detection.},
year = {2013},
booktitle = {CIDM},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013, Singapore, 16-19 April, 2013}
}
@inproceedings{conf/cidm/LangoneAKS13,
title = {Kernel spectral clustering for predicting maintenance of industrial machines.},
year = {2013},
booktitle = {CIDM},
author = {{Rocco Langone} and {Carlos Alzate} and {Bart De Ketelaere} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013, Singapore, 16-19 April, 2013}
}
@inproceedings{conf/cifer/SignorettoS13,
title = {DynOpt: Incorporating dynamics into mean-variance portfolio optimization.},
year = {2013},
booktitle = {CIFEr},
author = {{Marco Signoretto} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, CIFEr 2013, IEEE Symposium Series on Computational Intelligence (SSCI), 16-19 April 2013, Singapore}
}
@inproceedings{conf/comad/MallSAB13,
title = {Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines.},
year = {2013},
booktitle = {COMAD},
author = {{Raghvendra Mall} and {Johan A. K. Suykens} and {Mohammed El Anbari} and {Halima Bensmail}},
publisher = {Computer Society of India},
booktitle = {19th International Conference on Management of Data, COMAD 2013, Ahmedabad, India, December 19-21, 2013}
}
@inproceedings{conf/embc/VaronTBSH13,
title = {Sleep apnea classification using least-squares support vector machines on single lead ECG.},
year = {2013},
booktitle = {EMBC},
author = {{Carolina Varon} and {Dries Testelmans} and {Bertien Buyse} and {Johan A. K. Suykens} and {Sabine Van Huffel}},
publisher = {IEEE},
booktitle = {35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, July 3-7, 2013}
}
@inproceedings{conf/ijcnn/JumutcHS13,
title = {Fixed-size Pegasos for hinge and pinball loss SVM.},
year = {2013},
booktitle = {IJCNN},
author = {{Vilen Jumutc} and {Xiaolin Huang} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013}
}
@inproceedings{conf/ijcnn/LangoneMS13,
title = {Soft kernel spectral clustering.},
year = {2013},
booktitle = {IJCNN},
author = {{Rocco Langone} and {Raghvendra Mall} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013}
}
@inproceedings{conf/ijcnn/MehrkanoonS13,
title = {Non-parallel semi-supervised classification based on kernel spectral clustering.},
year = {2013},
booktitle = {IJCNN},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013}
}
@inproceedings{conf/ijcnn/Peluffo-OrdonezGLSC13,
title = {Kernel spectral clustering for dynamic data using multiple kernel learning.},
year = {2013},
booktitle = {IJCNN},
author = {{Diego Hernán Peluffo-Ordóñez} and {Sergio García-Vega} and {Rocco Langone} and {Johan A. K. Suykens} and {Germán Castellanos-Domínguez}},
publisher = {IEEE},
booktitle = {The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013}
}
@inproceedings{conf/pakdd/MallS13,
title = {Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data.},
year = {2013},
booktitle = {PAKDD (1)},
author = {{Raghvendra Mall} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I}
}
@inproceedings{conf/premi/JumutcS13,
title = {Weighted Coordinate-Wise Pegasos.},
year = {2013},
booktitle = {PReMI},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings}
}
@inproceedings{conf/premi/MallLS13,
title = {Highly Sparse Reductions to Kernel Spectral Clustering.},
year = {2013},
booktitle = {PReMI},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings}
}
@inproceedings{conf/uist/VanderloockASG13,
title = {The skweezee system: enabling the design and the programming of squeeze interactions.},
year = {2013},
booktitle = {UIST},
author = {{Karen Vanderloock} and {Vero Vanden Abeele} and {Johan A. K. Suykens} and {Luc Geurts}},
publisher = {ACM},
booktitle = {The 26th Annual ACM Symposium on User Interface Software and Technology, UIST'13, St. Andrews, United Kingdom, October 8-11, 2013}
}
@article{journals/corr/SignorettoLS13,
title = {Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.},
year = {2013},
journal = {CoRR},
author = {{Marco Signoretto} and {Lieven De Lathauwer} and {Johan A. K. Suykens}}
}
@article{journals/entropy/MallLS13,
title = {Kernel Spectral Clustering for Big Data Networks.},
year = {2013},
journal = {Entropy},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/eswa/MatijasSK13,
title = {Load forecasting using a multivariate meta-learning system.},
year = {2013},
journal = {Expert Syst. Appl.},
author = {{Marin Matijas} and {Johan A. K. Suykens} and {Slavko Krajcar}}
}
@article{journals/ijon/BelleNHHSB13,
title = {Risk group detection and survival function estimation for interval coded survival methods.},
year = {2013},
journal = {Neurocomputing},
author = {{Vanya Van Belle} and {Patrick Neven} and {Vernon Harvey} and {Sabine Van Huffel} and {Johan A. K. Suykens} and {Stephen P. Boyd}}
}
@article{journals/ijon/HuangMS13,
title = {Support vector machines with piecewise linear feature mapping.},
year = {2013},
journal = {Neurocomputing},
author = {{Xiaolin Huang} and {Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/snam/MallLS13,
title = {FURS: Fast and Unique Representative Subset selection retaining large-scale community structure.},
year = {2013},
journal = {Soc. Netw. Anal. Min.},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/tcas/LouS13,
title = {Stability of Coupled Local Minimizers Within the Lagrange Programming Network Framework.},
year = {2013},
journal = {IEEE Trans. Circuits Syst. I Regul. Pap.},
author = {{Xuyang Lou} and {Johan A. K. Suykens}}
}
@article{journals/tnn/HuangMS13,
title = {Hinging Hyperplanes for Time-Series Segmentation.},
year = {2013},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Xiaolin Huang} and {Marin Matijas} and {Johan A. K. Suykens}}
}
@inproceedings{conf/bigdataconf/MallJLS14,
title = {Representative subsets for big data learning using k-NN graphs.},
year = {2014},
booktitle = {IEEE BigData},
author = {{Raghvendra Mall} and {Vilen Jumutc} and {Rocco Langone} and {Johan A. K. Suykens}},
publisher = {IEEE Computer Society},
booktitle = {2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014}
}
@inproceedings{conf/cibd/SignorettoFKS14,
title = {High level high performance computing for multitask learning of time-varying models.},
year = {2014},
booktitle = {CIBD},
author = {{Marco Signoretto} and {Emanuele Frandi} and {Zahra Karevan} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 IEEE Symposium on Computational Intelligence in Big Data, CIBD 2014, Orlando, FL, USA, December 9-12, 2014}
}
@inproceedings{conf/cidm/JumutcS14,
title = {New bilinear formulation to semi-supervised classification based on Kernel Spectral Clustering.},
year = {2014},
booktitle = {CIDM},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014}
}
@inproceedings{conf/cidm/LangoneABS14,
title = {Alarm prediction in industrial machines using autoregressive LS-SVM models.},
year = {2014},
booktitle = {CIDM},
author = {{Rocco Langone} and {Carlos Alzate} and {Abdellatif Bey-Temsamani} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014}
}
@inproceedings{conf/cidm/LangoneMS14,
title = {Clustering data over time using kernel spectral clustering with memory.},
year = {2014},
booktitle = {CIDM},
author = {{Rocco Langone} and {Raghvendra Mall} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014}
}
@inproceedings{conf/cidm/MallLS14,
title = {Agglomerative hierarchical kernel spectral data clustering.},
year = {2014},
booktitle = {CIDM},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014}
}
@inproceedings{conf/cimcdm/MoschopoulosPLSMM14,
title = {Gene interaction networks boost genetic algorithm performance in biomarker discovery.},
year = {2014},
booktitle = {MCDM},
author = {{Charalampos N. Moschopoulos} and {Dusan Popovic} and {Rocco Langone} and {Johan A. K. Suykens} and {Bart De Moor} and {Yves Moreau}},
publisher = {IEEE},
booktitle = {2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, MCDM 2014, Orlando, FL, USA, December 9-12, 2014}
}
@inproceedings{conf/esann/JumutcS14,
title = {Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning.},
year = {2014},
booktitle = {ESANN},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}},
booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}
}
@inproceedings{conf/esann/MallLS14,
title = {Agglomerative hierarchical kernel spectral clustering for large scale networks.},
year = {2014},
booktitle = {ESANN},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}},
booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}
}
@inproceedings{conf/esann/Peluffo-OrdonezASC14,
title = {Optimal Data Projection for Kernel Spectral Clustering.},
year = {2014},
booktitle = {ESANN},
author = {{Diego Hernán Peluffo-Ordóñez} and {Carlos Alzate} and {Johan A. K. Suykens} and {Germán Castellanos-Domínguez}},
booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}
}
@inproceedings{conf/ijcnn/CastroMMSS14,
title = {SVD truncation schemes for fixed-size kernel models.},
year = {2014},
booktitle = {IJCNN},
author = {{Ricardo Castro-Garcia} and {Siamak Mehrkanoon} and {Anna Marconato} and {Johan Schoukens} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014}
}
@inproceedings{conf/ijcnn/MallMLS14,
title = {Optimal reduced sets for sparse kernel spectral clustering.},
year = {2014},
booktitle = {IJCNN},
author = {{Raghvendra Mall} and {Siamak Mehrkanoon} and {Rocco Langone} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014}
}
@inproceedings{conf/ijcnn/MehrkanoonS14,
title = {Large scale semi-supervised learning using KSC based model.},
year = {2014},
booktitle = {IJCNN},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014}
}
@inproceedings{conf/isnn/JumutcS14,
title = {Reweighted l 2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning.},
year = {2014},
booktitle = {ISNN},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Advances in Neural Networks - ISNN 2014 - 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings}
}
@article{journals/adcm/ShiHTS14,
title = {Quantile regression with ℓ 1 - regularization and Gaussian kernels.},
year = {2014},
journal = {Adv. Comput. Math.},
author = {{Lei Shi 010} and {Xiaolin Huang} and {Zheng Tian} and {Johan A. K. Suykens}}
}
@article{journals/bmcbi/ThomasBSM14,
title = {Predicting breast cancer using an expression values weighted clinical classifier.},
year = {2014},
journal = {BMC Bioinform.},
author = {{Minta Thomas} and {Kris De Brabanter} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/cnsns/MehrkanoonMS14,
title = {Parameter estimation of delay differential equations: An integration-free LS-SVM approach.},
year = {2014},
journal = {Commun. Nonlinear Sci. Numer. Simul.},
author = {{Siamak Mehrkanoon} and {Saeid Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/corr/ArgyriouSS14,
title = {Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization.},
year = {2014},
journal = {CoRR},
author = {{Andreas Argyriou} and {Marco Signoretto} and {Johan A. K. Suykens}}
}
@article{journals/corr/ClaesenSSM14a,
title = {Fast Prediction with SVM Models Containing RBF Kernels.},
year = {2014},
journal = {CoRR},
author = {{Marc Claesen} and {Frank De Smet} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/corr/FrandiNS14,
title = {Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning.},
year = {2014},
journal = {CoRR},
author = {{Emanuele Frandi} and {Ricardo Ñanculef} and {Johan A. K. Suykens}}
}
@article{journals/corr/MallLS14,
title = {Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks.},
year = {2014},
journal = {CoRR},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/csda/HuangSPS14,
title = {Asymmetric v-tube support vector regression.},
year = {2014},
journal = {Comput. Stat. Data Anal.},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Kristiaan Pelckmans} and {Johan A. K. Suykens}}
}
@article{journals/csda/HuangSS14,
title = {Asymmetric least squares support vector machine classifiers.},
year = {2014},
journal = {Comput. Stat. Data Anal.},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Johan A. K. Suykens}}
}
@article{journals/ijon/LangoneAMS14,
title = {Incremental kernel spectral clustering for online learning of non-stationary data.},
year = {2014},
journal = {Neurocomputing},
author = {{Rocco Langone} and {Oscar Mauricio Agudelo} and {Bart De Moor} and {Johan A. K. Suykens}}
}
@article{journals/ijon/MehrkanoonHS14,
title = {Non-parallel support vector classifiers with different loss functions.},
year = {2014},
journal = {Neurocomputing},
author = {{Siamak Mehrkanoon} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/isci/GeebelenGTMSVJ14,
title = {QoS prediction for web service compositions using kernel-based quantile estimation with online adaptation of the constant offset.},
year = {2014},
journal = {Inf. Sci.},
author = {{Dries Geebelen} and {Kristof Geebelen} and {Eddy Truyen} and {Sam Michiels} and {Johan A. K. Suykens} and {Joos Vandewalle} and {Wouter Joosen}}
}
@article{journals/jmlr/ClaesenSSM14,
title = {EnsembleSVM: a library for ensemble learning using support vector machines.},
year = {2014},
journal = {J. Mach. Learn. Res.},
author = {{Marc Claesen} and {Frank De Smet} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/jmlr/HuangSS14,
title = {Ramp loss linear programming support vector machine.},
year = {2014},
journal = {J. Mach. Learn. Res.},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Johan A. K. Suykens}}
}
@article{journals/ml/SignorettoTLS14,
title = {Learning with tensors: a framework based on convex optimization and spectral regularization.},
year = {2014},
journal = {Mach. Learn.},
author = {{Marco Signoretto} and {Dinh Quoc Tran} and {Lieven De Lathauwer} and {Johan A. K. Suykens}}
}
@article{journals/pami/HuangSS14,
title = {Support Vector Machine Classifier With Pinball Loss.},
year = {2014},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Johan A. K. Suykens}}
}
@article{journals/pami/JumutcS14,
title = {Multi-Class Supervised Novelty Detection.},
year = {2014},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}}
}
@article{journals/tcas/LouS14,
title = {Hybrid Coupled Local Minimizers.},
year = {2014},
journal = {IEEE Trans. Circuits Syst. I Regul. Pap.},
author = {{Xuyang Lou} and {Johan A. K. Suykens}}
}
@article{journals/tim/MarconatoSSS14,
title = {Improved Initialization for Nonlinear State-Space Modeling.},
year = {2014},
journal = {IEEE Trans. Instrum. Meas.},
author = {{Anna Marconato} and {Jonas Sjöberg} and {Johan A. K. Suykens} and {Johan Schoukens}}
}
@incollection{books/crc/p/MallS15,
title = {KSC-net: Community Detection for Big Data Networks.},
year = {2015},
booktitle = {Big Data - Algorithms, Analytics, and Applications},
author = {{Raghvendra Mall} and {Johan A. K. Suykens}},
publisher = {Chapman and Hall/CRC},
booktitle = {Big Data - Algorithms, Analytics, and Applications.}
}
@inproceedings{conf/bigdataconf/JumutcLS15,
title = {Regularized and sparse stochastic k-means for distributed large-scale clustering.},
year = {2015},
booktitle = {IEEE BigData},
author = {{Vilen Jumutc} and {Rocco Langone} and {Johan A. K. Suykens}},
publisher = {IEEE Computer Society},
booktitle = {2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015}
}
@inproceedings{conf/cdc/Castro-GarciaTS15,
title = {Incorporating Best Linear Approximation within LS-SVM-based Hammerstein System Identification.},
year = {2015},
booktitle = {CDC},
author = {{Ricardo Castro-Garcia} and {Koen Tiels} and {Johan Schoukens} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015}
}
@inproceedings{conf/esann/MallLS15,
title = {Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering.},
year = {2015},
booktitle = {ESANN},
author = {{Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}},
booktitle = {23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015}
}
@inproceedings{conf/ijcnn/FrandiNS15,
title = {A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification.},
year = {2015},
booktitle = {IJCNN},
author = {{Emanuele Frandi} and {Ricardo Ñanculef} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}
}
@inproceedings{conf/ijcnn/KarevanMS15,
title = {Black-box modeling for temperature prediction in weather forecasting.},
year = {2015},
booktitle = {IJCNN},
author = {{Zahra Karevan} and {Siamak Mehrkanoon} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}
}
@inproceedings{conf/ijcnn/MallS15,
title = {Kernel spectral document clustering using unsupervised precision-recall metrics.},
year = {2015},
booktitle = {IJCNN},
author = {{Raghvendra Mall} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}
}
@inproceedings{conf/ijcnn/MehrkanoonAMS15,
title = {Hierarchical semi-supervised clustering using KSC based model.},
year = {2015},
booktitle = {IJCNN},
author = {{Siamak Mehrkanoon} and {Oscar Mauricio Agudelo} and {Raghvendra Mall} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}
}
@inproceedings{conf/ssci/ChandorkarMLSM15,
title = {Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification.},
year = {2015},
booktitle = {SSCI},
author = {{Mandar Chandorkar} and {Raghvendra Mall} and {Oliver Lauwers} and {Johan A. K. Suykens} and {Bart De Moor}},
publisher = {IEEE},
booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015}
}
@article{journals/corr/HuangSYS15,
title = {Pinball Loss Minimization for One-bit Compressive Sensing.},
year = {2015},
journal = {CoRR},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Ming Yan 006} and {Johan A. K. Suykens}}
}
@article{journals/corr/LangoneMAS15,
title = {Kernel Spectral Clustering and applications.},
year = {2015},
journal = {CoRR},
author = {{Rocco Langone} and {Raghvendra Mall} and {Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/corr/YangMS15,
title = {Higher order Matching Pursuit for Low Rank Tensor Learning.},
year = {2015},
journal = {CoRR},
author = {{Yuning Yang} and {Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/eaai/LangoneAKVMS15,
title = {LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines.},
year = {2015},
journal = {Eng. Appl. Artif. Intell.},
author = {{Rocco Langone} and {Carlos Alzate} and {Bart De Ketelaere} and {Jonas Vlasselaer} and {Wannes Meert} and {Johan A. K. Suykens}}
}
@article{journals/ijon/ClaesenSSM15,
title = {A robust ensemble approach to learn from positive and unlabeled data using SVM base models.},
year = {2015},
journal = {Neurocomputing},
author = {{Marc Claesen} and {Frank De Smet} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/ijon/HuangSS15,
title = {Sequential minimal optimization for SVM with pinball loss.},
year = {2015},
journal = {Neurocomputing},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Johan A. K. Suykens}}
}
@article{journals/ijon/MehrkanoonS15,
title = {Learning solutions to partial differential equations using LS-SVM.},
year = {2015},
journal = {Neurocomputing},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/jmlr/FengHSYS15,
title = {Learning with the maximum correntropy criterion induced losses for regression.},
year = {2015},
journal = {J. Mach. Learn. Res.},
author = {{Yunlong Feng} and {Xiaolin Huang} and {Lei Shi 010} and {Yuning Yang} and {Johan A. K. Suykens}}
}
@article{journals/nn/MehrkanoonAS15,
title = {Incremental multi-class semi-supervised clustering regularized by Kalman filtering.},
year = {2015},
journal = {Neural Networks},
author = {{Siamak Mehrkanoon} and {Oscar Mauricio Agudelo} and {Johan A. K. Suykens}}
}
@article{journals/prl/MallMS15,
title = {Identifying intervals for hierarchical clustering using the Gershgorin circle theorem.},
year = {2015},
journal = {Pattern Recognit. Lett.},
author = {{Raghvendra Mall} and {Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/sigpro/HuangLSHS15,
title = {Two-level ℓ1 minimization for compressed sensing.},
year = {2015},
journal = {Signal Process.},
author = {{Xiaolin Huang} and {Yipeng Liu 001} and {Lei Shi 010} and {Sabine Van Huffel} and {Johan A. K. Suykens}}
}
@article{journals/sigpro/LiHS15,
title = {Signal recovery for jointly sparse vectors with different sensing matrices.},
year = {2015},
journal = {Signal Process.},
author = {{Li Li 013} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/spl/YangFS15,
title = {A Rank-One Tensor Updating Algorithm for Tensor Completion.},
year = {2015},
journal = {IEEE Signal Process. Lett.},
author = {{Yuning Yang} and {Yunlong Feng} and {Johan A. K. Suykens}}
}
@article{journals/tnn/MallS15,
title = {Very Sparse LSSVM Reductions for Large-Scale Data.},
year = {2015},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Raghvendra Mall} and {Johan A. K. Suykens}}
}
@article{journals/tnn/MehrkanoonAMLS15,
title = {Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.},
year = {2015},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Siamak Mehrkanoon} and {Carlos Alzate} and {Raghvendra Mall} and {Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/tnn/VaronAS15,
title = {Noise Level Estimation for Model Selection in Kernel PCA Denoising.},
year = {2015},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Carolina Varon} and {Carlos Alzate} and {Johan A. K. Suykens}}
}
@incollection{reference/sp/SignorettoS15,
title = {Kernel Methods.},
year = {2015},
booktitle = {Handbook of Computational Intelligence},
author = {{Marco Signoretto} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Springer Handbook of Computational Intelligence}
}
@inproceedings{conf/bigdataconf/LangoneS16,
title = {Efficient multiple scale kernel classifiers.},
year = {2016},
booktitle = {IEEE BigData},
author = {{Rocco Langone} and {Johan A. K. Suykens}},
publisher = {IEEE Computer Society},
booktitle = {2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016}
}
@inproceedings{conf/ciarp/AliquintuyFNS16,
title = {Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso.},
year = {2016},
booktitle = {CIARP},
author = {{Marcelo Aliquintuy} and {Emanuele Frandi} and {Ricardo Ñanculef} and {Johan A. K. Suykens}},
booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8-11, 2016, Proceedings}
}
@inproceedings{conf/esann/HouthuysLS16,
title = {Clustering from two data sources using a kernel-based approach with weight coupling.},
year = {2016},
booktitle = {ESANN},
author = {{Lynn Houthuys} and {Rocco Langone} and {Johan A. K. Suykens}},
booktitle = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}
}
@inproceedings{conf/esann/KarevanS16,
title = {Spatio-temporal feature selection for black-box weather forecasting.},
year = {2016},
booktitle = {ESANN},
author = {{Zahra Karevan} and {Johan A. K. Suykens}},
booktitle = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}
}
@inproceedings{conf/esann/LangoneMJS16,
title = {Fast in-memory spectral clustering using a fixed-size approach.},
year = {2016},
booktitle = {ESANN},
author = {{Rocco Langone} and {Raghvendra Mall} and {Vilen Jumutc} and {Johan A. K. Suykens}},
booktitle = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}
}
@inproceedings{conf/eucc/Castro-GarciaAT16,
title = {Hammerstein system identification using LS-SVM and steady state time response.},
year = {2016},
booktitle = {ECC},
author = {{Ricardo Castro-Garcia} and {Oscar Mauricio Agudelo} and {Koen Tiels} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {15th European Control Conference, ECC 2016, Aalborg, Denmark, June 29 - July 1, 2016}
}
@inproceedings{conf/ijcnn/KarevanS16,
title = {Clustering-based feature selection for black-box weather temperature prediction.},
year = {2016},
booktitle = {IJCNN},
author = {{Zahra Karevan} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016}
}
@inproceedings{conf/ijcnn/MallBLVS16,
title = {Denoised Kernel Spectral data Clustering.},
year = {2016},
booktitle = {IJCNN},
author = {{Raghvendra Mall} and {Halima Bensmail} and {Rocco Langone} and {Carolina Varon} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016}
}
@inproceedings{conf/ijcnn/MehrkanoonS16,
title = {Multi-label semi-supervised learning using regularized kernel spectral clustering.},
year = {2016},
booktitle = {IJCNN},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016}
}
@inproceedings{conf/lacci/Castro-GarciaS16,
title = {Wiener System Identification using Best Linear Approximation within the LS-SVM framework.},
year = {2016},
booktitle = {LA-CCI},
author = {{Ricardo Castro-Garcia} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016, Cartagena, Colombia, November 2-4, 2016}
}
@inproceedings{conf/ssci/MehrkanoonS16,
title = {Scalable Semi-supervised kernel spectral learning using random Fourier features.},
year = {2016},
booktitle = {SSCI},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016}
}
@article{journals/aeog/HeremansSO16,
title = {The effect of imposing 'fractional abundance constraints' onto the multilayer perceptron for sub-pixel land cover classification.},
year = {2016},
journal = {Int. J. Appl. Earth Obs. Geoinformation},
author = {{Stien Heremans} and {Johan A. K. Suykens} and {Jos Van Orshoven}}
}
@article{journals/corr/AlaizFS16,
title = {Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning.},
year = {2016},
journal = {CoRR},
author = {{Carlos M. Alaíz} and {Michaël Fanuel} and {Johan A. K. Suykens}}
}
@article{journals/corr/FanuelAS16,
title = {Magnetic eigenmaps for community detection in directed networks.},
year = {2016},
journal = {CoRR},
author = {{Michaël Fanuel} and {Carlos M. Alaíz} and {Johan A. K. Suykens}}
}
@article{journals/corr/FanuelPAS16,
title = {Magnetic Eigenmaps for Visualization of Directed Networks.},
year = {2016},
journal = {CoRR},
author = {{Michaël Fanuel} and {Ángela Fernández 001} and {Carlos M. Alaíz} and {Johan A. K. Suykens}}
}
@article{journals/eaai/MehrkanoonSSD16,
title = {Estimating the unknown time delay in chemical processes.},
year = {2016},
journal = {Eng. Appl. Artif. Intell.},
author = {{Siamak Mehrkanoon} and {Yuri A. W. Shardt} and {Johan A. K. Suykens} and {Steven X. Ding}}
}
@article{journals/entropy/LangoneBS16,
title = {Entropy-Based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis.},
year = {2016},
journal = {Entropy},
author = {{Rocco Langone} and {Marc Van Barel} and {Johan A. K. Suykens}}
}
@article{journals/ijon/JumutcS16,
title = {Reweighted stochastic learning.},
year = {2016},
journal = {Neurocomputing},
author = {{Vilen Jumutc} and {Johan A. K. Suykens}}
}
@article{journals/ml/FrandiNLSS16,
title = {Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee.},
year = {2016},
journal = {Mach. Learn.},
author = {{Emanuele Frandi} and {Ricardo Ñanculef} and {Stefano Lodi} and {Claudio Sartori 001} and {Johan A. K. Suykens}}
}
@article{journals/neco/FengLHS16,
title = {Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery.},
year = {2016},
journal = {Neural Comput.},
author = {{Yunlong Feng} and {Shao-Gao Lv} and {Hanyuan Hang} and {Johan A. K. Suykens}}
}
@article{journals/neco/FengYHMS16,
title = {Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.},
year = {2016},
journal = {Neural Comput.},
author = {{Yunlong Feng} and {Yuning Yang} and {Xiaolin Huang} and {Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/neco/HangFSS16,
title = {Learning Theory Estimates with Observations from General Stationary Stochastic Processes.},
year = {2016},
journal = {Neural Comput.},
author = {{Hanyuan Hang} and {Yunlong Feng} and {Ingo Steinwart} and {Johan A. K. Suykens}}
}
@article{journals/npl/XiHSW16,
title = {Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines.},
year = {2016},
journal = {Neural Process. Lett.},
author = {{Xiangming Xi} and {Xiaolin Huang} and {Johan A. K. Suykens} and {Shuning Wang}}
}
@article{journals/prl/LangoneBS16,
title = {Efficient evolutionary spectral clustering.},
year = {2016},
journal = {Pattern Recognit. Lett.},
author = {{Rocco Langone} and {Marc Van Barel} and {Johan A. K. Suykens}}
}
@article{journals/siamjo/YangFHS16,
title = {Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems.},
year = {2016},
journal = {SIAM J. Optim.},
author = {{Yuning Yang} and {Yunlong Feng} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/tnn/FengYS16,
title = {Robust Gradient Learning With Applications.},
year = {2016},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Yunlong Feng} and {Yuning Yang} and {Johan A. K. Suykens}}
}
@article{journals/tnn/YangFS16,
title = {Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator.},
year = {2016},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Yuning Yang} and {Yunlong Feng} and {Johan A. K. Suykens}}
}
@inproceedings{conf/cdc/BottegalCS17,
title = {On the identification of Wiener systems with polynomial nonlinearity.},
year = {2017},
booktitle = {CDC},
author = {{Giulio Bottegal} and {Ricardo Castro-Garcia} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017}
}
@inproceedings{conf/esann/KarevanFS17,
title = {Moving Least Squares Support Vector Machines for weather temperature prediction.},
year = {2017},
booktitle = {ESANN},
author = {{Zahra Karevan} and {Yunlong Feng} and {Johan A. K. Suykens}},
booktitle = {25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017}
}
@inproceedings{conf/esann/MehrkanoonZS17,
title = {Scalable Hybrid Deep Neural Kernel Networks.},
year = {2017},
booktitle = {ESANN},
author = {{Siamak Mehrkanoon} and {Andreas Zell} and {Johan A. K. Suykens}},
booktitle = {25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017}
}
@inproceedings{conf/eusipco/SopasakisTSP17,
title = {A primal-dual line search method and applications in image processing.},
year = {2017},
booktitle = {EUSIPCO},
author = {{Pantelis Sopasakis} and {Andreas Themelis} and {Johan A. K. Suykens} and {Panagiotis Patrinos}},
publisher = {IEEE},
booktitle = {25th European Signal Processing Conference, EUSIPCO 2017, Kos, Greece, August 28 - September 2, 2017}
}
@inproceedings{conf/ijcnn/BottegalS17,
title = {Probabilistic matrix factorization from quantized measurements.},
year = {2017},
booktitle = {IJCNN},
author = {{Giulio Bottegal} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017}
}
@inproceedings{conf/ijcnn/HouthuysKS17,
title = {Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting.},
year = {2017},
booktitle = {IJCNN},
author = {{Lynn Houthuys} and {Zahra Karevan} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017}
}
@inproceedings{conf/ssci/Castro-GarciaAS17,
title = {MIMO hammerstein system identification using LS-SVM and steady state time response.},
year = {2017},
booktitle = {SSCI},
author = {{Ricardo Castro-Garcia} and {Oscar Mauricio Agudelo} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017}
}
@inproceedings{conf/ssci/HouthuysS17,
title = {Unpaired multi-view kernel spectral clustering.},
year = {2017},
booktitle = {SSCI},
author = {{Lynn Houthuys} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017}
}
@article{journals/ijon/LangoneS17,
title = {Fast kernel spectral clustering.},
year = {2017},
journal = {Neurocomputing},
author = {{Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/isci/LangoneS17,
title = {Supervised aggregated feature learning for multiple instance classification.},
year = {2017},
journal = {Inf. Sci.},
author = {{Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/neco/Suykens17,
title = {Deep Restricted Kernel Machines Using Conjugate Feature Duality.},
year = {2017},
journal = {Neural Comput.},
author = {{Johan A. K. Suykens}}
}
@article{journals/tnn/HeHFHHKKLLMMPQR17,
title = {Editorial: A Successful Year and Looking Forward to 2017 and Beyond.},
year = {2017},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Haibo He} and {Robert Haas} and {Jun Fu} and {Barbara Hammer} and {Daniel W. C. Ho} and {Fakhri Karray} and {Dhireesha Kudithipudi} and {José Antonio Lozano 001} and {Teresa Bernarda Ludermir} and {Jacek Mandziuk} and {Stefano Melacci} and {Antonio Paiva} and {Hong Qiao} and {Alain Rakotomamonjy} and {Shiliang Sun} and {Johan A. K. Suykens} and {Meng Wang}}
}
@article{journals/tnn/HuangSS17,
title = {Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values.},
year = {2017},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Johan A. K. Suykens}}
}
@inproceedings{conf/aistats/SalzoRS18,
title = {Solving lp-norm regularization with tensor kernels.},
year = {2018},
booktitle = {AISTATS},
author = {{Saverio Salzo} and {Lorenzo Rosasco} and {Johan A. K. Suykens}},
publisher = {PMLR},
booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain}
}
@inproceedings{conf/atal/KazmiSD18,
title = {Valuing Knowledge, Information and Agency in Multi-agent Reinforcement Learning: A Case Study in Smart Buildings.},
year = {2018},
booktitle = {AAMAS},
author = {{Hussain Syed Kazmi} and {Johan A. K. Suykens} and {Johan Driesen}},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM},
booktitle = {Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018}
}
@inproceedings{conf/cdc/TaoXSW18,
title = {Fast Adaptive Hinging Hyperplanes.},
year = {2018},
booktitle = {CDC},
author = {{Qinghua Tao} and {Jun Xu} and {Johan A. K. Suykens} and {Shuning Wang}},
publisher = {IEEE},
booktitle = {57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018}
}
@inproceedings{conf/esann/MehrkanoonBS18,
title = {Shallow and Deep Models for Domain Adaptation problems.},
year = {2018},
booktitle = {ESANN},
author = {{Siamak Mehrkanoon} and {Matthew B. Blaschko} and {Johan A. K. Suykens}},
booktitle = {26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018}
}
@inproceedings{conf/esann/SchreursS18,
title = {Generative Kernel PCA.},
year = {2018},
booktitle = {ESANN},
author = {{Joachim Schreurs} and {Johan A. K. Suykens}},
booktitle = {26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018}
}
@inproceedings{conf/icann/HouthuysS18,
title = {Tensor Learning in Multi-view Kernel PCA.},
year = {2018},
booktitle = {ICANN (2)},
author = {{Lynn Houthuys} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II}
}
@inproceedings{conf/icann/KarevanHS18,
title = {Weighted Multi-view Deep Neural Networks for Weather Forecasting.},
year = {2018},
booktitle = {ICANN (3)},
author = {{Zahra Karevan} and {Lynn Houthuys} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III}
}
@article{journals/aei/SingaravelSG18,
title = {Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction.},
year = {2018},
journal = {Adv. Eng. Informatics},
author = {{Sundaravelpandian Singaravel} and {Johan A. K. Suykens} and {Philipp Geyer}}
}
@article{journals/automatica/BottegalCS18,
title = {A two-experiment approach to Wiener system identification.},
year = {2018},
journal = {Autom.},
author = {{Giulio Bottegal} and {Ricardo Castro-Garcia} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-1809-09910,
title = {Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions.},
year = {2018},
journal = {CoRR},
author = {{Fanghui Liu 001} and {Lei Shi 010} and {Xiaolin Huang} and {Jie Yang 002} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-1811-06341,
title = {Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting.},
year = {2018},
journal = {CoRR},
author = {{Zahra Karevan} and {Johan A. K. Suykens}}
}
@article{journals/entropy/KarevanS18,
title = {Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting.},
year = {2018},
journal = {Entropy},
author = {{Zahra Karevan} and {Johan A. K. Suykens}}
}
@article{journals/entropy/YangFS18,
title = {Correntropy Based Matrix Completion.},
year = {2018},
journal = {Entropy},
author = {{Yuning Yang} and {Yunlong Feng} and {Johan A. K. Suykens}}
}
@article{journals/ijcon/Castro-GarciaTA18,
title = {Hammerstein system identification through best linear approximation inversion and regularisation.},
year = {2018},
journal = {Int. J. Control},
author = {{Ricardo Castro-Garcia} and {Koen Tiels} and {Oscar Mauricio Agudelo} and {Johan A. K. Suykens}}
}
@article{journals/ijon/AlaizS18,
title = {Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers.},
year = {2018},
journal = {Neurocomputing},
author = {{Carlos M. Alaíz} and {Johan A. K. Suykens}}
}
@article{journals/ijon/HouthuysLS18,
title = {Multi-View Least Squares Support Vector Machines Classification.},
year = {2018},
journal = {Neurocomputing},
author = {{Lynn Houthuys} and {Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/ijon/HuangSYS18,
title = {Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms.},
year = {2018},
journal = {Neurocomputing},
author = {{Xiaolin Huang} and {Lei Shi 010} and {Ming Yan 006} and {Johan A. K. Suykens}}
}
@article{journals/ijon/MehrkanoonS18,
title = {Deep hybrid neural-kernel networks using random Fourier features.},
year = {2018},
journal = {Neurocomputing},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@article{journals/inffus/HouthuysLS18,
title = {Multi-View Kernel Spectral Clustering.},
year = {2018},
journal = {Inf. Fusion},
author = {{Lynn Houthuys} and {Rocco Langone} and {Johan A. K. Suykens}}
}
@article{journals/jmlr/HangSFS18,
title = {Kernel Density Estimation for Dynamical Systems.},
year = {2018},
journal = {J. Mach. Learn. Res.},
author = {{Hanyuan Hang} and {Ingo Steinwart} and {Yunlong Feng} and {Johan A. K. Suykens}}
}
@article{journals/pr/MehrkanoonHS18,
title = {Indefinite kernel spectral learning.},
year = {2018},
journal = {Pattern Recognit.},
author = {{Siamak Mehrkanoon} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/siamsc/GauthierS18,
title = {Optimal Quadrature-Sparsification for Integral Operator Approximation.},
year = {2018},
journal = {SIAM J. Sci. Comput.},
author = {{Bertrand Gauthier} and {Johan A. K. Suykens}}
}
@article{journals/tnn/AlaizFS18,
title = {Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning.},
year = {2018},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Carlos M. Alaíz} and {Michaël Fanuel} and {Johan A. K. Suykens}}
}
@article{journals/tnn/ChenBSW18,
title = {Parallelized Tensor Train Learning of Polynomial Classifiers.},
year = {2018},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Zhongming Chen} and {Kim Batselier} and {Johan A. K. Suykens} and {Ngai Wong}}
}
@article{journals/tnn/HuangSWHM18,
title = {Classification With Truncated \$\\ell _\{1\}\$ Distance Kernel.},
year = {2018},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Xiaolin Huang} and {Johan A. K. Suykens} and {Shuning Wang} and {Joachim Hornegger} and {Andreas K. Maier}}
}
@article{journals/tnn/MehrkanoonS18,
title = {Regularized Semipaired Kernel CCA for Domain Adaptation.},
year = {2018},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Siamak Mehrkanoon} and {Johan A. K. Suykens}}
}
@inproceedings{conf/bnaic/SchreursFS19,
title = {Towards Deterministic Diverse Subset Sampling.},
year = {2019},
booktitle = {BNAIC/BENELEARN},
author = {{Joachim Schreurs} and {Michaël Fanuel} and {Johan A. K. Suykens}},
publisher = {CEUR-WS.org},
booktitle = {Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019.}
}
@inproceedings{conf/bnaic/WinantSS19,
title = {Latent Space Exploration Using Generative Kernel PCA.},
year = {2019},
booktitle = {BNAIC/BENELEARN},
author = {{David Winant} and {Joachim Schreurs} and {Johan A. K. Suykens}},
publisher = {CEUR-WS.org},
booktitle = {Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019.}
}
@inproceedings{conf/icann/OrchelS19,
title = {Axiomatic Kernels on Graphs for Support Vector Machines.},
year = {2019},
booktitle = {ICANN (Workshop)},
author = {{Marcin Orchel} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions}
}
@article{journals/aei/SingaravelSG19,
title = {Deep convolutional learning for general early design stage prediction models.},
year = {2019},
journal = {Adv. Eng. Informatics},
author = {{Sundaravelpandian Singaravel} and {Johan A. K. Suykens} and {Philipp Geyer}}
}
@article{journals/corr/abs-1905-03438,
title = {Two-stage Best-scored Random Forest for Large-scale Regression.},
year = {2019},
journal = {CoRR},
author = {{Hanyuan Hang} and {Yingyi Chen} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-1906-08144,
title = {Generative Restricted Kernel Machines.},
year = {2019},
journal = {CoRR},
author = {{Arun Pandey} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@article{journals/datamine/AlaizFS19,
title = {Robust classification of graph-based data.},
year = {2019},
journal = {Data Min. Knowl. Discov.},
author = {{Carlos M. Alaíz} and {Michaël Fanuel} and {Johan A. K. Suykens}}
}
@article{journals/ijcon/Castro-GarciaAS19,
title = {Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification.},
year = {2019},
journal = {Int. J. Control},
author = {{Ricardo Castro-Garcia} and {Oscar Mauricio Agudelo} and {Johan A. K. Suykens}}
}
@article{journals/jmlr/ShiHFS19,
title = {Sparse Kernel Regression with Coefficient-based \$\\ell_q-\$regularization.},
year = {2019},
journal = {J. Mach. Learn. Res.},
author = {{Lei Shi 010} and {Xiaolin Huang} and {Yunlong Feng} and {Johan A. K. Suykens}}
}
@article{journals/tnn/LiuHGYS19,
title = {Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure.},
year = {2019},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Chen Gong 002} and {Jie Yang 002} and {Johan A. K. Suykens}}
}
@inproceedings{conf/aaai/LiuHC0S20,
title = {Random Fourier Features via Fast Surrogate Leverage Weighted Sampling.},
year = {2020},
booktitle = {AAAI},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Yudong Chen 001} and {Jie Yang 002} and {Johan A. K. Suykens}},
publisher = {AAAI Press},
booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020.}
}
@inproceedings{conf/esann/MehrkanoonHS20,
title = {Learning from partially labeled data.},
year = {2020},
booktitle = {ESANN},
author = {{Siamak Mehrkanoon} and {Xiaolin Huang} and {Johan A. K. Suykens}},
booktitle = {28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020}
}
@inproceedings{conf/ijcnn/PlaenFS20,
title = {Wasserstein Exponential Kernels.},
year = {2020},
booktitle = {IJCNN},
author = {{Henri De Plaen} and {Michaël Fanuel} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020}
}
@inproceedings{conf/mod/OrchelS20,
title = {Fast Hyperparameter Tuning for Support Vector Machines with Stochastic Gradient Descent.},
year = {2020},
booktitle = {LOD (2)},
author = {{Marcin Orchel} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II}
}
@inproceedings{conf/mod/PandeySS20,
title = {Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality.},
year = {2020},
booktitle = {LOD (1)},
author = {{Arun Pandey} and {Joachim Schreurs} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I}
}
@inproceedings{conf/nips/MeulemansCSSG20,
title = {A Theoretical Framework for Target Propagation.},
year = {2020},
booktitle = {NeurIPS},
author = {{Alexander Meulemans} and {Francesco S. Carzaniga} and {Johan A. K. Suykens} and {João Sacramento} and {Benjamin F. Grewe}},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual.}
}
@article{journals/automatica/XuTLXSW20,
title = {Efficient hinging hyperplanes neural network and its application in nonlinear system identification.},
year = {2020},
journal = {Autom.},
author = {{Jun Xu 008} and {Qinghua Tao} and {Zhen Li 032} and {Xiangming Xi} and {Johan A. K. Suykens} and {Shuning Wang}}
}
@article{journals/corr/abs-2006-00247,
title = {Generalizing Random Fourier Features via Generalized Measures.},
year = {2020},
journal = {CoRR},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Yingyi Chen} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2006-01073,
title = {Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces.},
year = {2020},
journal = {CoRR},
author = {{Fanghui Liu 001} and {Lei Shi 010} and {Xiaolin Huang} and {Jie Yang 002} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2006-09096,
title = {The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks.},
year = {2020},
journal = {CoRR},
author = {{Hannes De Meulemeester} and {Joachim Schreurs} and {Michaël Fanuel} and {Bart De Moor} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2006-13701,
title = {Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes.},
year = {2020},
journal = {CoRR},
author = {{Joachim Schreurs} and {Michaël Fanuel} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2008-02046,
title = {Outlier detection in non-elliptical data by kernel MRCD.},
year = {2020},
journal = {CoRR},
author = {{Joachim Schreurs} and {Iwein Vranckx} and {Bart De Ketelaere} and {Mia Hubert} and {Johan A. K. Suykens} and {Peter J. Rousseeuw}}
}
@article{journals/corr/abs-2010-02681,
title = {Kernel regression in high dimension: Refined analysis beyond double descent.},
year = {2020},
journal = {CoRR},
author = {{Fanghui Liu 001} and {Zhenyu Liao 001} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2011-06964,
title = {Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems.},
year = {2020},
journal = {CoRR},
author = {{Michaël Fanuel} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@article{journals/jmlr/FengFS20,
title = {A Statistical Learning Approach to Modal Regression.},
year = {2020},
journal = {J. Mach. Learn. Res.},
author = {{Yunlong Feng} and {Jun Fan} and {Johan A. K. Suykens}}
}
@article{journals/nn/KarevanS20,
title = {Transductive LSTM for time-series prediction: An application to weather forecasting.},
year = {2020},
journal = {Neural Networks},
author = {{Zahra Karevan} and {Johan A. K. Suykens}}
}
@article{journals/tnn/LiuHSYS20,
title = {A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels.},
year = {2020},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Lei Shi 010} and {Jie Yang 002} and {Johan A. K. Suykens}}
}
@inproceedings{conf/aistats/LiuHCS21,
title = {Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures.},
year = {2021},
booktitle = {AISTATS},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Yingyi Chen} and {Johan A. K. Suykens}},
publisher = {PMLR},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event.}
}
@inproceedings{conf/aistats/LiuLS21,
title = {Kernel regression in high dimensions: Refined analysis beyond double descent.},
year = {2021},
booktitle = {AISTATS},
author = {{Fanghui Liu 001} and {Zhenyu Liao 001} and {Johan A. K. Suykens}},
publisher = {PMLR},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event.}
}
@inproceedings{conf/cdc/EvensLTSP21,
title = {Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -.},
year = {2021},
booktitle = {CDC},
author = {{Brecht Evens} and {Puya Latafat} and {Andreas Themelis} and {Johan A. K. Suykens} and {Panagiotis Patrinos}},
publisher = {IEEE},
booktitle = {2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021}
}
@inproceedings{conf/cvpr/ChenSHS21,
title = {Boosting Co-Teaching With Compression Regularization for Label Noise.},
year = {2021},
booktitle = {CVPR Workshops},
author = {{Yingyi Chen} and {Xi Shen 001} and {Shell Xu Hu} and {Johan A. K. Suykens}},
publisher = {Computer Vision Foundation / IEEE},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021}
}
@inproceedings{conf/ijcnn/ToninPPS21,
title = {Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine.},
year = {2021},
booktitle = {IJCNN},
author = {{Francesco Tonin} and {Arun Pandey} and {Panagiotis Patrinos} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021}
}
@inproceedings{conf/mod/OrchelS21,
title = {Improved Update Rule and Sampling of Stochastic Gradient Descent with Extreme Early Stopping for Support Vector Machines.},
year = {2021},
booktitle = {LOD},
author = {{Marcin Orchel} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II}
}
@inproceedings{conf/mod/SchreursMFMS21,
title = {Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks.},
year = {2021},
booktitle = {LOD},
author = {{Joachim Schreurs} and {Hannes De Meulemeester} and {Michaël Fanuel} and {Bart De Moor} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II}
}
@inproceedings{conf/pkdd/MeulemeesterSFM21,
title = {The Bures Metric for Generative Adversarial Networks.},
year = {2021},
booktitle = {ECML/PKDD (2)},
author = {{Hannes De Meulemeester} and {Joachim Schreurs} and {Michaël Fanuel} and {Bart De Moor} and {Johan A. K. Suykens}},
publisher = {Springer},
booktitle = {Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II}
}
@inproceedings{conf/time/Suykens21,
title = {Kernel Machines in Time (Invited Talk).},
year = {2021},
booktitle = {TIME},
author = {{Johan A. K. Suykens}},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
booktitle = {28th International Symposium on Temporal Representation and Reasoning, TIME 2021, September 27-29, 2021, Klagenfurt, Austria.}
}
@article{journals/corr/abs-2110-13501,
title = {Tensor Network Kalman Filtering for Large-Scale LS-SVMs.},
year = {2021},
journal = {CoRR},
author = {{Maximilian Lucassen} and {Johan A. K. Suykens} and {Kim Batselier}}
}
@article{journals/eswa/TaoLXXWS21,
title = {Learning with continuous piecewise linear decision trees.},
year = {2021},
journal = {Expert Syst. Appl.},
author = {{Qinghua Tao} and {Zhen Li 032} and {Jun Xu} and {Na Xie} and {Shuning Wang} and {Johan A. K. Suykens}}
}
@article{journals/ijon/MaXS21,
title = {A novel neural grey system model with Bayesian regularization and its applications.},
year = {2021},
journal = {Neurocomputing},
author = {{Xin Ma 004} and {Mei Xie} and {Johan A. K. Suykens}}
}
@article{journals/inffus/HouthuysS21,
title = {Tensor-based restricted kernel machines for multi-view classification.},
year = {2021},
journal = {Inf. Fusion},
author = {{Lynn Houthuys} and {Johan A. K. Suykens}}
}
@article{journals/jim/VillalobosSI21,
title = {A flexible alarm prediction system for smart manufacturing scenarios following a forecaster-analyzer approach.},
year = {2021},
journal = {J. Intell. Manuf.},
author = {{Kevin Villalobos} and {Johan A. K. Suykens} and {Arantza Illarramendi}}
}
@article{journals/jmlr/LiuSHYS21,
title = {Generalization Properties of hyper-RKHS and its Applications.},
year = {2021},
journal = {J. Mach. Learn. Res.},
author = {{Fanghui Liu 001} and {Lei Shi 010} and {Xiaolin Huang} and {Jie Yang 002} and {Johan A. K. Suykens}}
}
@article{journals/ml/LiuSHYS21,
title = {Analysis of regularized least-squares in reproducing kernel Kreĭn spaces.},
year = {2021},
journal = {Mach. Learn.},
author = {{Fanghui Liu 001} and {Lei Shi 010} and {Xiaolin Huang} and {Jie Yang 002} and {Johan A. K. Suykens}}
}
@article{journals/nn/PandeySS21,
title = {Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning.},
year = {2021},
journal = {Neural Networks},
author = {{Arun Pandey} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@article{journals/nn/ToninPS21,
title = {Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints.},
year = {2021},
journal = {Neural Networks},
author = {{Francesco Tonin} and {Panagiotis Patrinos} and {Johan A. K. Suykens}}
}
@article{journals/sac/SchreursVHSR21,
title = {Outlier detection in non-elliptical data by kernel MRCD.},
year = {2021},
journal = {Stat. Comput.},
author = {{Joachim Schreurs} and {Iwein Vranckx} and {Mia Hubert} and {Johan A. K. Suykens} and {Peter J. Rousseeuw}}
}
@article{journals/simods/FanuelSS21,
title = {Diversity Sampling is an Implicit Regularization for Kernel Methods.},
year = {2021},
journal = {SIAM J. Math. Data Sci.},
author = {{Michaël Fanuel} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@inproceedings{conf/esann/PandeyMPMS22,
title = {Recurrent Restricted Kernel Machines for Time-series Forecasting.},
year = {2022},
booktitle = {ESANN},
author = {{Arun Pandey} and {Hannes De Meulemeester} and {Henri De Plaen} and {Bart De Moor} and {Johan A. K. Suykens}},
booktitle = {30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022}
}
@inproceedings{conf/mod/CoomanSO22,
title = {Enforcing Hard State-Dependent Action Bounds on Deep Reinforcement Learning Policies.},
year = {2022},
booktitle = {LOD (2)},
author = {{Bram De Cooman} and {Johan A. K. Suykens} and {Andreas Ortseifen}},
publisher = {Springer},
booktitle = {Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II}
}
@inproceedings{conf/nips/0001SC22,
title = {On the Double Descent of Random Features Models Trained with SGD.},
year = {2022},
booktitle = {NeurIPS},
author = {{Fanghui Liu 001} and {Johan A. K. Suykens} and {Volkan Cevher}},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022.}
}
@article{journals/corr/abs-2206-09149,
title = {Piecewise Linear Neural Networks and Deep Learning.},
year = {2022},
journal = {CoRR},
author = {{Qinghua Tao} and {Li Li 013} and {Xiaolin Huang} and {Xiangming Xi} and {Shuning Wang} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2207-11559,
title = {Tensor-based Multi-view Spectral Clustering via Shared Latent Space.},
year = {2022},
journal = {CoRR},
author = {{Qinghua Tao} and {Francesco Tonin} and {Panagiotis Patrinos} and {Johan A. K. Suykens}}
}
@article{journals/ml/FanuelSS22,
title = {Nyström landmark sampling and regularized Christoffel functions.},
year = {2022},
journal = {Mach. Learn.},
author = {{Michaël Fanuel} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@article{journals/neco/PandeyFSS22,
title = {Disentangled Representation Learning and Generation With Manifold Optimization.},
year = {2022},
journal = {Neural Comput.},
author = {{Arun Pandey} and {Michaël Fanuel} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@article{journals/pami/LiuHCS22,
title = {Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond.},
year = {2022},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Yudong Chen 001} and {Johan A. K. Suykens}}
}
@article{journals/pami/LiuHCS22a,
title = {Towards a Unified Quadrature Framework for Large-Scale Kernel Machines.},
year = {2022},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Fanghui Liu 001} and {Xiaolin Huang} and {Yudong Chen 001} and {Johan A. K. Suykens}}
}
@article{journals/simods/FanuelADS22,
title = {Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions.},
year = {2022},
journal = {SIAM J. Math. Data Sci.},
author = {{Michaël Fanuel} and {Antoine Aspeel} and {Jean-Charles Delvenne} and {Johan A. K. Suykens}}
}
@article{journals/tits/TaoLXLSS22,
title = {Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network.},
year = {2022},
journal = {IEEE Trans. Intell. Transp. Syst.},
author = {{Qinghua Tao} and {Zhen Li 032} and {Jun Xu} and {Shu Lin 002} and {Bart De Schutter} and {Johan A. K. Suykens}}
}
@article{journals/tnn/TaoXLXWLS22,
title = {Toward Deep Adaptive Hinging Hyperplanes.},
year = {2022},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Qinghua Tao} and {Jun Xu} and {Zhen Li 032} and {Na Xie} and {Shuning Wang} and {Xiaoli Li 011} and {Johan A. K. Suykens}}
}
@article{journals/simods/FanuelSS22,
title = {Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems.},
year = {2022},
month = {September},
journal = {SIAM J. Math. Data Sci.},
author = {{Michaël Fanuel} and {Joachim Schreurs} and {Johan A. K. Suykens}}
}
@inproceedings{conf/cvpr/PlaenPSPTG23,
title = {Unbalanced Optimal Transport: A Unified Framework for Object Detection.},
year = {2023},
booktitle = {CVPR},
author = {{Henri De Plaen} and {Pierre-François De Plaen} and {Johan A. K. Suykens} and {Marc Proesmans} and {Tinne Tuytelaars} and {Luc Van Gool}},
publisher = {IEEE},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023}
}
@inproceedings{conf/icassp/LiuTZLS23,
title = {Tensorized LSSVMS For Multitask Regression.},
year = {2023},
booktitle = {ICASSP},
author = {{Jiani Liu 002} and {Qinghua Tao} and {Ce Zhu} and {Yipeng Liu 001} and {Johan A. K. Suykens}},
publisher = {IEEE},
booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023}
}
@inproceedings{conf/icml/ToninLPS23,
title = {Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.},
year = {2023},
booktitle = {ICML},
author = {{Francesco Tonin} and {Alex Lambert} and {Panagiotis Patrinos} and {Johan A. K. Suykens}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
@inproceedings{conf/nips/ChenTTS23,
title = {Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation.},
year = {2023},
booktitle = {NeurIPS},
author = {{Yingyi Chen} and {Qinghua Tao} and {Francesco Tonin} and {Johan A. K. Suykens}},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.}
}
@article{journals/corr/abs-2301-13764,
title = {Semi-Supervised Classification with Graph Convolutional Kernel Machines.},
year = {2023},
journal = {CoRR},
author = {{Sonny Achten} and {Francesco Tonin} and {Panagiotis Patrinos} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2302-11220,
title = {Deep Kernel Principal Component Analysis for Multi-level Feature Learning.},
year = {2023},
journal = {CoRR},
author = {{Francesco Tonin} and {Qinghua Tao} and {Panagiotis Patrinos} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2304-06485,
title = {CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities.},
year = {2023},
journal = {CoRR},
author = {{Konstantinos Kontras} and {Christos Chatzichristos} and {Huy Phan} and {Johan A. K. Suykens} and {Maarten De Vos}}
}
@article{journals/corr/abs-2305-17251,
title = {Duality in Multi-View Restricted Kernel Machines.},
year = {2023},
journal = {CoRR},
author = {{Sonny Achten} and {Arun Pandey} and {Hannes De Meulemeester} and {Bart De Moor} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2306-07015,
title = {Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers.},
year = {2023},
journal = {CoRR},
author = {{Francesco Tonin} and {Panagiotis Patrinos} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2306-07040,
title = {Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method.},
year = {2023},
journal = {CoRR},
author = {{Qinghua Tao} and {Francesco Tonin} and {Panagiotis Patrinos} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2306-10880,
title = {Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value.},
year = {2023},
journal = {CoRR},
author = {{Joran Michiels} and {Maarten De Vos} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2306-16431,
title = {Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions.},
year = {2023},
journal = {CoRR},
author = {{Joran Michiels} and {Maarten De Vos} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2307-10078,
title = {A Dual Formulation for Probabilistic Principal Component Analysis.},
year = {2023},
journal = {CoRR},
author = {{Henri De Plaen} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2308-16056,
title = {Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs.},
year = {2023},
journal = {CoRR},
author = {{Jiani Liu 002} and {Qinghua Tao} and {Ce Zhu} and {Yipeng Liu 001} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2310-05236,
title = {Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels.},
year = {2023},
journal = {CoRR},
author = {{Fan He} and {Mingzhen He} and {Lei Shi 010} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2310-13381,
title = {Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems.},
year = {2023},
journal = {CoRR},
author = {{Mihaly Novak} and {Rocco Langone} and {Carlos Alzate} and {Johan A. K. Suykens}}
}
@article{journals/tec/TheodorakosASSM23,
title = {Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting.},
year = {2023},
journal = {IEEE Trans. Evol. Comput.},
author = {{Konstantinos Theodorakos} and {Oscar Mauricio Agudelo} and {Joachim Schreurs} and {Johan A. K. Suykens} and {Bart De Moor}}
}
@article{journals/prl/ChenSLTS23,
title = {Jigsaw-ViT: Learning jigsaw puzzles in vision transformer.},
year = {2023},
month = {February},
journal = {Pattern Recognit. Lett.},
author = {{Yingyi Chen} and {Xi Shen 001} and {Yahui Liu} and {Qinghua Tao} and {Johan A. K. Suykens}}
}
@article{journals/pami/HeHSHS23,
title = {Learning With Asymmetric Kernels: Least Squares and Feature Interpretation.},
year = {2023},
month = {August},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
author = {{Mingzhen He} and {Fan He} and {Lei Shi 010} and {Xiaolin Huang} and {Johan A. K. Suykens}}
}
@article{journals/ijon/PandeyMMS23,
title = {Multi-view kernel PCA for time series forecasting.},
year = {2023},
month = {October},
journal = {Neurocomputing},
author = {{Arun Pandey} and {Hannes De Meulemeester} and {Bart De Moor} and {Johan A. K. Suykens}}
}
@inproceedings{conf/aaai/AchtenTPS24,
title = {Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification.},
year = {2024},
booktitle = {AAAI},
author = {{Sonny Achten} and {Francesco Tonin} and {Panagiotis Patrinos} and {Johan A. K. Suykens}},
publisher = {AAAI Press},
booktitle = {Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada}
}
@article{journals/corr/abs-2401-02890,
title = {Nonlinear functional regression by functional deep neural network with kernel embedding.},
year = {2024},
journal = {CoRR},
author = {{Zhongjie Shi} and {Jun Fan} and {Linhao Song} and {Ding-Xuan Zhou} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2401-13624,
title = {Can overfitted deep neural networks in adversarial training generalize? - An approximation viewpoint.},
year = {2024},
journal = {CoRR},
author = {{Zhongjie Shi} and {Fanghui Liu 001} and {Yuan Cao} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2402-01476,
title = {Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.},
year = {2024},
journal = {CoRR},
author = {{Yingyi Chen} and {Qinghua Tao} and {Francesco Tonin} and {Johan A. K. Suykens}}
}
@article{journals/corr/abs-2402-08493,
title = {Sparsity via Sparse Group k-max Regularization.},
year = {2024},
journal = {CoRR},
author = {{Qinghua Tao} and {Xiangming Xi} and {Jun Xu 008} and {Johan A. K. Suykens}}
}
@article{journals/tnn/ChenHSAS24,
title = {Compressing Features for Learning With Noisy Labels.},
year = {2024},
month = {February},
journal = {IEEE Trans. Neural Networks Learn. Syst.},
author = {{Yingyi Chen} and {Shell Xu Hu} and {Xi Shen 001} and {Chunrong Ai} and {Johan A. K. Suykens}}
}