| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jan Luts, Geert Molenberghs, Geert Verbeke, Sabine Van Huffel, Johan A. K. Suykens |
A mixed effects least squares support vector machine model for classification of longitudinal data.  |
Computational Statistics & Data Analysis  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Shi Yu, Léon-Charles Tranchevent, Xinhai Liu, Wolfgang Glänzel, Johan A. K. Suykens, Bart De Moor, Yves Moreau |
Optimized Data Fusion for Kernel k-Means Clustering. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Dries Geebelen, Johan A. K. Suykens, Joos Vandewalle |
Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation. |
IEEE Trans. Neural Netw. Learning Syst. |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens |
Classification of Multichannel Signals With Cumulant-Based Kernels. |
IEEE Transactions on Signal Processing |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Devy Widjaja, Carolina Varon, Alexander Dorado, Johan A. K. Suykens, Sabine Van Huffel |
Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration. |
IEEE Trans. Biomed. Engineering |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Adrien Combaz, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Johan A. K. Suykens, Marc M. Van Hulle |
Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface. |
Neurocomputing |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Kris De Brabanter, Peter Karsmakers, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Confidence bands for least squares support vector machine classifiers: A regression approach. |
Pattern Recognition |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Geert J. Postma, Jan Luts, Albert J. Idema, Margarida Julià-Sapé, Àngel Moreno-Torres, Witek Gajewicz, Johan A. K. Suykens, Arend Heerschap, Sabine Van Huffel, Lutgarde M. C. Buydens |
On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. |
Comp. in Bio. and Med. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens |
Support vector methods for survival analysis: a comparison between ranking and regression approaches. |
Artificial Intelligence in Medicine |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Marco Signoretto, Raf Van de Plas, Bart De Moor, Johan A. K. Suykens |
Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data. |
IEEE Signal Process. Lett. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens |
Improved performance on high-dimensional survival data by application of Survival-SVM. |
Bioinformatics |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Shi Yu, Xinhai Liu, Léon-Charles Tranchevent, Wolfgang Glänzel, Johan A. K. Suykens, Bart De Moor, Yves Moreau |
Optimized data fusion for K-means Laplacian clustering. |
Bioinformatics |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression. |
IEEE Transactions on Neural Networks |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Kernel Regression in the Presence of Correlated Errors. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
Learning Transformation Models for Ranking and Survival Analysis. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens |
Sparse conjugate directions pursuit with application to fixed-size kernel models. |
Machine Learning |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens |
A kernel-based framework to tensorial data analysis. |
Neural Networks |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
Sparse kernel spectral clustering models for large-scale data analysis. |
Neurocomputing |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Jorge López Lázaro, Johan A. K. Suykens |
First and Second Order SMO Algorithms for LS-SVM Classifiers. |
Neural Processing Letters |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Borbala Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel |
Automatic Seizure Detection Incorporating Structural Information. |
ICANN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens |
Symbolic computing of LS-SVM based models. |
ESANN |
2011 |
DBLP BibTeX RDF |
|
| 1 | Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens |
Sparse LS-SVMs with L0 - norm minimization. |
ESANN |
2011 |
DBLP BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
Out-of-sample eigenvectors in kernel spectral clustering. |
IJCNN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Rocco Langone, Carlos Alzate, Johan A. K. Suykens |
Modularity-based model selection for kernel spectral clustering. |
IJCNN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Optimized fixed-size kernel models for large data sets. |
Computational Statistics & Data Analysis |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Shi Yu, Tillmann Falck, Anneleen Daemen, Léon-Charles Tranchevent, Johan A. K. Suykens, Bart De Moor, Yves Moreau |
L2-norm multiple kernel learning and its application to biomedical data fusion. |
BMC Bioinformatics |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2010 |
DBLP DOI BibTeX RDF |
out-of-sample extensions, model selection, Spectral clustering, kernel principal component analysis |
| 1 | Michiel Debruyne, Andreas Christmann, Mia Hubert, Johan A. K. Suykens |
Robustness of reweighted Least Squares Kernel Based Regression. |
J. Multivariate Analysis |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Paschalis Tsiaflakis, Ion Necoara, Johan A. K. Suykens, Marc Moonen |
Improved dual decomposition based optimization for DSL dynamic spectrum management. |
IEEE Transactions on Signal Processing |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Samuel Xavier de Souza, Johan A. K. Suykens, Joos Vandewalle, Désiré Bollé |
Coupled Simulated Annealing. |
IEEE Transactions on Systems, Man, and Cybernetics, Part B |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens |
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization. |
CDC |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Tillmann Falck, Johan A. K. Suykens, Johan Schoukens, Bart De Moor |
Nuclear norm regularization for overparametrized Hammerstein systems. |
CDC |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Tillmann Falck, Johan A. K. Suykens, Bart De Moor |
Linear parametric noise models for Least Squares Support Vector Machines. |
CDC |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens |
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. |
ICANN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
Highly sparse kernel spectral clustering with predictive out-of-sample extensions. |
ESANN |
2010 |
DBLP BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
On the use of a clinical kernel in survival analysis. |
ESANN |
2010 |
DBLP BibTeX RDF |
|
| 1 | Fabian Ojeda, Marco Signoretto, Raf Van de Plas, Etienne Waelkens, Bart De Moor, Johan A. K. Suykens |
Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging. |
PRIB |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Fabian Ojeda, Tillmann Falck, Bart De Moor, Johan A. K. Suykens |
Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. |
IJCNN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Least conservative support and tolerance tubes. |
IEEE Transactions on Information Theory |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Jan Luts, Johan A. K. Suykens, Sabine Van Huffel, Teresa Laudadio, Sofie Van Cauter, Uwe Himmelreich, Enrique Molla, Jose Piquer, M. Carmen Martinez-Bisbal, Bernardo Celda |
Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI. |
CBMS |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Tillmann Falck, Johan A. K. Suykens, Bart De Moor |
Robustness analysis for Least Squares kernel based regression: an optimization approach. |
CDC |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ion Necoara, Carlo Savorgnan, Dinh Quoc Tran, Johan A. K. Suykens, Moritz Diehl |
Distributed nonlinear optimal control using sequential convex programming and smoothing techniques. |
CDC |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
MINLIP: Efficient Learning of Transformation Models. |
ICANN |
2009 |
DBLP DOI BibTeX RDF |
ranking models, Support vector machines, ordinal regression |
| 1 | Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor |
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. |
ICANN |
2009 |
DBLP DOI BibTeX RDF |
Robustness, Kernel methods, Least Squares Support Vector Machines, Reweighting |
| 1 | Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens |
Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. |
ICANN |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens |
Transductively Learning from Positive Examples Only. |
ESANN |
2009 |
DBLP BibTeX RDF |
|
| 1 | Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle |
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. |
ICMLA |
2009 |
DBLP DOI BibTeX RDF |
Support Vector Machine, Wavelet Transform, EEG, Brain Computer Interface, P300 |
| 1 | Carlos Alzate, Johan A. K. Suykens |
A regularized formulation for spectral clustering with pairwise constraints. |
IJCNN |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Johan A. K. Suykens, Refet Firat Yazicioglu, Tom Torfs, Patrick Merken, Herc P. Neves, Chris Van Hoof, Marc M. Van Hulle |
P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. |
KI |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. |
IWANN |
2009 |
DBLP DOI BibTeX RDF |
failure time data, ls-svm, feature selection |
| 1 | Carlos Alzate, Johan A. K. Suykens |
Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. |
IEEE Transactions on Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Johan A. K. Suykens |
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point. |
IEEE Transactions on Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
A regularized kernel CCA contrast function for ICA. |
Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Fabian Ojeda, Johan A. K. Suykens, Bart De Moor |
Low rank updated LS-SVM classifiers for fast variable selection. |
Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ion Necoara, Dang Doan, Johan A. K. Suykens |
Application of the proximal center decomposition method to distributed model predictive control. |
CDC |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ion Necoara, Johan A. K. Suykens |
A proximal center-based decomposition method for multi-agent convex optimization. |
CDC |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens |
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. |
ICANN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
Survival SVM: a practical scalable algorithm. |
ESANN |
2008 |
DBLP BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition. |
IJCNN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sabine Van Huffel |
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. |
Artificial Intelligence in Medicine |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Dániel Hillier, Serkan Günel, Johan A. K. Suykens, Joos Vandewalle |
Partial Synchronization in oscillator Arrays with Asymmetric Coupling. |
I. J. Bifurcation and Chaos |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
A Convex Approach to Validation-Based Learning of the Regularization Constant. |
IEEE Transactions on Neural Networks |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, John Shawe-Taylor, Johan A. K. Suykens, Bart De Moor |
Margin based Transductive Graph Cuts using Linear Programming. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
Efficiently updating and tracking the dominant kernel principal components. |
Neural Networks |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Support and Quantile Tubes |
CoRR |
2007 |
DBLP BibTeX RDF |
|
| 1 | Chuan Lu, Andy Devos, Johan A. K. Suykens, Carles Arús, Sabine Van Huffel |
Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis. |
IEEE Transactions on Information Technology in Biomedicine |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel |
Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. |
ICANN |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Convex optimization for the design of learning machines. |
ESANN |
2007 |
DBLP BibTeX RDF |
|
| 1 | Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens, Hugo Van hamme |
Fixed-size kernel logistic regression for phoneme classification. |
INTERSPEECH |
2007 |
DBLP BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
ICA through an LS-SVM based Kernel CCA Measure for Independence. |
IJCNN |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Fabian Ojeda, Johan A. K. Suykens, Bart De Moor |
Variable selection by rank-one updates for least squares support vector machines. |
IJCNN |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens |
Multi-class kernel logistic regression: a fixed-size implementation. |
IJCNN |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
A Risk Minimization Principle for a Class of Parzen Estimators. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens |
Transductive Rademacher Complexities for Learning Over a Graph. |
MLG |
2007 |
DBLP BibTeX RDF |
|
| 1 | Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen |
A process model to develop an internal rating system: Sovereign credit ratings. |
Decision Support Systems |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Mustak E. Yalcin, Johan A. K. Suykens |
Spatiotemporal Pattern Formation on the ACE16K CNN Chip. |
I. J. Bifurcation and Chaos |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens |
Bayesian kernel based classification for financial distress detection. |
European Journal of Operational Research |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods. |
Machine Learning |
2006 |
DBLP DOI BibTeX RDF |
regulatization, optimizatioon, model selection, Least Squares Support Vector Machines |
| 1 | Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle |
Multi-scroll and hypercube attractors from Josephson junctions. |
ISCAS |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlos Alzate, Johan A. K. Suykens |
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | B. Pluymers, L. Roobrouck, J. Buijs, Johan A. K. Suykens, Bart De Moor |
Constrained linear MPC with time-varying terminal cost using convex combinations. |
Automatica |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Identification of MIMO Hammerstein models using least squares support vector machines. |
Automatica |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathalie Pochet, Frizo A. L. Janssens, Frank De Smet, Kathleen Marchal, Johan A. K. Suykens, Bart De Moor |
M@CBETH: a microarray classification benchmarking tool. |
Bioinformatics |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Handling missing values in support vector machine classifiers. |
Neural Networks |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Componentwise Least Squares Support Vector Machines |
CoRR |
2005 |
DBLP BibTeX RDF |
|
| 1 | B. Pluymers, Johan A. K. Suykens, Bart De Moor |
Min-max feedback MPC using a time-varying terminal constraint set and comments on "Efficient robust constrained model predictive control with a time-varying terminal constraint set". |
Systems & Control Letters |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
The differogram: Non-parametric noise variance estimation and its use for model selection. |
Neurocomputing |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
Subset based least squares subspace regression in RKHS. |
Neurocomputing |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Building sparse representations and structure determination on LS-SVM substrates. |
Neurocomputing |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor |
Primal-Dual Monotone Kernel Regression. |
Neural Processing Letters |
2005 |
DBLP DOI BibTeX RDF |
monotone regression, primal-dual kernel regression, support vector machines, constraints, convex optimization |
| 1 | Nathalie Pochet, Frizo A. L. Janssens, Frank De Smet, Kathleen Marchal, Ignace Vergote, Johan A. K. Suykens, Bart De Moor |
M@CBETH: Optimizing Clinical Microarray Classification. |
CSB Workshops |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Componentwise Support Vector Machines for Structure Detection. |
ICANN |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle |
Spatiotemporal pattern formation in the ACE16k CNN chip. |
ISCAS |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor |
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. |
IWANN |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Franklyn A. Howe, Carles Majós, Àngel Moreno-Torres, M. Van Der Graaf, Anne Rosemary Tate, Carles Arús, Sabine Van Huffel |
Brain tumor classification based on long echo proton MRS signals. |
Artificial Intelligence in Medicine |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathalie Pochet, Frank De Smet, Johan A. K. Suykens, Bart De Moor |
Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. |
Bioinformatics |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle |
Benchmarking Least Squares Support Vector Machine Classifiers. |
Machine Learning |
2004 |
DBLP DOI BibTeX RDF |
least squares support vector machines, sparse approximation, multiclass support vector machines |
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. |
ICONIP |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. |
ICONIP |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
Sparse LS-SVMs using additive regularization with a penalized validation criterion. |
ESANN |
2004 |
DBLP BibTeX RDF |
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