Johan A. K. Suykens Coauthor index pubzone.org

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j82Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens: Kernel Spectral Clustering for Big Data Networks. Entropy 15(5): 1567-1586 (2013)
j81Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marin Matijas, Johan A. K. Suykens, Slavko Krajcar: Load forecasting using a multivariate meta-learning system. Expert Syst. Appl. 40(11): 4427-4437 (2013)
j80Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Vanya Van Belle, Patrick Neven, Vernon Harvey, Sabine Van Huffel, Johan A. K. Suykens, Stephen Boyd: Risk group detection and survival function estimation for interval coded survival methods. Neurocomputing 112: 200-210 (2013)
j79Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Xuyang Lou, Johan A. K. Suykens: Stability of Coupled Local Minimizers Within the Lagrange Programming Network Framework. IEEE Trans. on Circuits and Systems 60-I(2): 377-388 (2013)
c69Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Raghvendra Mall, Johan A. K. Suykens: Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data. PAKDD (1) 2013: 161-173
2012
j78Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Siamak Mehrkanoon, Johan A. K. Suykens: LS-SVM approximate solution to linear time varying descriptor systems. Automatica 48(10): 2502-2511 (2012)
j77Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 56(3): 611-628 (2012)
j76Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 80: 73-82 (2012)
j75Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Hierarchical kernel spectral clustering. Neural Networks 35: 21-30 (2012)
j74Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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. 34(5): 1031-1039 (2012)
j73Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 45(6): 2280-2287 (2012)
j72Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 59(4): 1169-1176 (2012)
j71Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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. 23(4): 682-688 (2012)
j70Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Siamak Mehrkanoon, Tillmann Falck, Johan A. K. Suykens: Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines. IEEE Trans. Neural Netw. Learning Syst. 23(9): 1356-1367 (2012)
j69Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens: Classification of Multichannel Signals With Cumulant-Based Kernels. IEEE Transactions on Signal Processing 60(5): 2304-2314 (2012)
c68Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: A semi-supervised formulation to binary kernel spectral clustering. IJCNN 2012: 1-8
c67Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Robustness of kernel based regression: Influence and weight functions. IJCNN 2012: 1-8
c66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Rocco Langone, Carlos Alzate, Johan A. K. Suykens: Kernel spectral clustering for community detection in complex networks. IJCNN 2012: 1-8
2011
j68Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 53(2): 107-118 (2011)
j67Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 27(1): 87-94 (2011)
j66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 27(1): 118-126 (2011)
j65Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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. 41(2): 87-97 (2011)
j64Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Sparse kernel spectral clustering models for large-scale data analysis. Neurocomputing 74(9): 1382-1390 (2011)
j63Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 12: 819-862 (2011)
j62Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 12: 1955-1976 (2011)
j61Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 85(1-2): 109-148 (2011)
j60Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens: A kernel-based framework to tensorial data analysis. Neural Networks 24(8): 861-874 (2011)
j59Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Jorge López Lázaro, Johan A. K. Suykens: First and Second Order SMO Algorithms for LS-SVM Classifiers. Neural Processing Letters 33(1): 31-44 (2011)
j58Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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. 18(7): 403-406 (2011)
j57Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 22(1): 110-120 (2011)
c65Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens: Sparse LS-SVMs with L0 - norm minimization. ESANN 2011
c64Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens: Symbolic computing of LS-SVM based models. ESANN 2011
c63Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Borbala Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel: Automatic Seizure Detection Incorporating Structural Information. ICANN (1) 2011: 233-240
c62Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Rocco Langone, Carlos Alzate, Johan A. K. Suykens: Modularity-based model selection for kernel spectral clustering. IJCNN 2011: 1849-1856
c61Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Out-of-sample eigenvectors in kernel spectral clustering. IJCNN 2011: 2349-2356
2010
j56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 11: 309 (2010)
j55Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 54(6): 1484-1504 (2010)
j54Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Michiel Debruyne, Andreas Christmann, Mia Hubert, Johan A. K. Suykens: Robustness of reweighted Least Squares Kernel Based Regression. J. Multivariate Analysis 101(2): 447-463 (2010)
j53Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. 32(2): 335-347 (2010)
j52Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Samuel Xavier de Souza, Johan A. K. Suykens, Joos Vandewalle, Désiré Bollé: Coupled Simulated Annealing. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(2): 320-335 (2010)
j51Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 58(4): 2230-2245 (2010)
c60Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens: Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization. CDC 2010: 1366-1371
c59Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tillmann Falck, Johan A. K. Suykens, Bart De Moor: Linear parametric noise models for Least Squares Support Vector Machines. CDC 2010: 6389-6394
c58Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tillmann Falck, Johan A. K. Suykens, Johan Schoukens, Bart De Moor: Nuclear norm regularization for overparametrized Hammerstein systems. CDC 2010: 7202-7207
c57Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Highly sparse kernel spectral clustering with predictive out-of-sample extensions. ESANN 2010
c56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: On the use of a clinical kernel in survival analysis. ESANN 2010
c55Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens: Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. ICANN (2) 2010: 59-69
c54Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Fabian Ojeda, Tillmann Falck, Bart De Moor, Johan A. K. Suykens: Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. IJCNN 2010: 1-7
c53Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 325-334
2009
j50Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Least conservative support and tolerance tubes. IEEE Transactions on Information Theory 55(8): 3799-3806 (2009)
c52Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 1-8
c51Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 543-548
c50Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tillmann Falck, Johan A. K. Suykens, Bart De Moor: Robustness analysis for Least Squares kernel based regression: an optimization approach. CDC 2009: 6774-6779
c49Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens: Transductively Learning from Positive Examples Only. ESANN 2009
c48Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69
c47Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 (1) 2009: 100-110
c46Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens: Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. ICANN (2) 2009: 315-324
c45Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 386-391
c44Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: A regularized formulation for spectral clustering with pairwise constraints. IJCNN 2009: 141-148
c43Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 (1) 2009: 65-72
c42Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 339-346
2008
j49Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: A regularized kernel CCA contrast function for ICA. Neural Networks 21(2-3): 170-181 (2008)
j48Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Fabian Ojeda, Johan A. K. Suykens, Bart De Moor: Low rank updated LS-SVM classifiers for fast variable selection. Neural Networks 21(2-3): 437-449 (2008)
j47Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ion Necoara, Johan A. K. Suykens: Application of a Smoothing Technique to Decomposition in Convex Optimization. IEEE Trans. Automat. Contr. 53(11): 2674-2679 (2008)
j46Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens: Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point. IEEE Transactions on Neural Networks 19(9): 1501-1517 (2008)
j45Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. IEEE Transactions on Neural Networks 19(9): 1583-1598 (2008)
c41Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ion Necoara, Dang Doan, Johan A. K. Suykens: Application of the proximal center decomposition method to distributed model predictive control. CDC 2008: 2900-2905
c40Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ion Necoara, Johan A. K. Suykens: A proximal center-based decomposition method for multi-agent convex optimization. CDC 2008: 3077-3082
c39Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94
c38Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens: Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. ICANN (1) 2008: 175-184
c37Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition. IJCNN 2008: 3556-3563
2007
j44Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 40(2): 87-102 (2007)
j43Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Dániel Hillier, Serkan Günel, Johan A. K. Suykens, Joos Vandewalle: Partial Synchronization in oscillator Arrays with Asymmetric Coupling. I. J. Bifurcation and Chaos 17(11): 4177-4185 (2007)
j42Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 2: 363-370 (2007)
j41Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 20(2): 220-229 (2007)
j40Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 11(3): 338-347 (2007)
j39Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 18(3): 917-920 (2007)
c36Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Convex optimization for the design of learning machines. ESANN 2007: 193-204
c35Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 (2) 2007: 139-148
c34Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens: Multi-class kernel logistic regression: a fixed-size implementation. IJCNN 2007: 1756-1761
c33Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Fabian Ojeda, Johan A. K. Suykens, Bart De Moor: Variable selection by rank-one updates for least squares support vector machines. IJCNN 2007: 2283-2288
c32Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: ICA through an LS-SVM based Kernel CCA Measure for Independence. IJCNN 2007: 2920-2925
c31Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens, Hugo Van hamme: Fixed-size kernel logistic regression for phoneme classification. INTERSPEECH 2007: 78-81
c30Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens: Transductive Rademacher Complexities for Learning Over a Graph. MLG 2007
c29Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: A Risk Minimization Principle for a Class of Parzen Estimators. NIPS 2007
i3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Support and Quantile Tubes. CoRR abs/cs/0703055 (2007)
2006
j38Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 42(2): 1131-1151 (2006)
j37Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 172(3): 979-1003 (2006)
j36Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mustak E. Yalcin, Johan A. K. Suykens: Spatiotemporal Pattern Formation on the ACE16K CNN Chip. I. J. Bifurcation and Chaos 16(5): 1537-1546 (2006)
j35Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods. Machine Learning 62(3): 217-252 (2006)
c28Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Carlos Alzate, Johan A. K. Suykens: A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. IJCNN 2006: 138-144
c27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: Multi-scroll and hypercube attractors from Josephson junctions. ISCAS 2006
2005
j34Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 41(5): 831-837 (2005)
j33Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Identification of MIMO Hammerstein models using least squares support vector machines. Automatica 41(7): 1263-1272 (2005)
j32Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 21(14): 3185-3186 (2005)
j31Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Subset based least squares subspace regression in RKHS. Neurocomputing 63: 293-323 (2005)
j30Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Building sparse representations and structure determination on LS-SVM substrates. Neurocomputing 64: 137-159 (2005)
j29Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 69(1-3): 100-122 (2005)
j28Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Handling missing values in support vector machine classifiers. Neural Networks 18(5-6): 684-692 (2005)
j27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Primal-Dual Monotone Kernel Regression. Neural Processing Letters 22(2): 171-182 (2005)
j26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 54(12): 1143-1148 (2005)
j25Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Subspace identification of Hammerstein systems using least squares support vector machines. IEEE Trans. Automat. Contr. 50(10): 1509-1519 (2005)
j24Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor: Kernel based partially linear models and nonlinear identification. IEEE Trans. Automat. Contr. 50(10): 1602-1606 (2005)
c26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 89-90
c25Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Componentwise Support Vector Machines for Structure Detection. ICANN (2) 2005: 643-648
c24Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: Spatiotemporal pattern formation in the ACE16k CNN chip. ISCAS (6) 2005: 5814-5817
c23Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor: Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. IWANN 2005: 1018-1026
i2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Componentwise Least Squares Support Vector Machines. CoRR abs/cs/0504086 (2005)
2004
j23Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 31(1): 73-89 (2004)
j22Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 20(17): 3185-3195 (2004)
j21Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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 54(1): 5-32 (2004)
c22Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Sparse LS-SVMs using additive regularization with a penalized validation criterion. ESANN 2004: 435-440
c21Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. ICONIP 2004: 1216-1222
c20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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: 1247-1253
c19no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: A double scroll based true random bit generator. ISCAS (4) 2004: 581-584
c18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tijl De Bie, Johan A. K. Suykens, Bart De Moor: Learning from General Label Constraints. SSPR/SPR 2004: 671-679
2003
j20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman: Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artificial Intelligence in Medicine 28(3): 281-306 (2003)
j19Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ivan Goethals, Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor: Identification of positive real models in subspace identification by using regularization. IEEE Trans. Automat. Contr. 48(10): 1843-1847 (2003)
j18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Tony Van Gestel, Joos Vandewalle, Bart De Moor: A support vector machine formulation to PCA analysis and its kernel version. IEEE Transactions on Neural Networks 14(2): 447-450 (2003)
c17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote: Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228
c16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Kernel PLS variants for regression. ESANN 2003: 200-208
c15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Mustak E. Yalcin, Joos Vandewalle: Coupled chaotic simulated annealing processes. ISCAS (3) 2003: 582-585
2002
j17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle, Serdar Özoguz: Families of scroll Grid attractors. I. J. Bifurcation and Chaos 12(1): 23-41 (2002)
j16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Jos De Brabanter, Lukas Lukas, Joos Vandewalle: Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 48(1-4): 85-105 (2002)
j15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle: Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. Neural Computation 14(5): 1115-1147 (2002)
j14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle: Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. Neural Processing Letters 15(1): 45-58 (2002)
c14no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús: The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals. ESANN 2002: 131-136
c13no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger: Prediction of mental development of preterm newborns at birth time using LS-SVM. ESANN 2002: 167-172
c12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle: Robust Cross-Validation Score Function for Non-linear Function Estimation. ICANN 2002: 713-719
c11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Bart Hamers, Johan A. K. Suykens, Bart De Moor: Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. ICANN 2002: 720-726
i1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Intelligence and Cooperative Search by Coupled Local Minimizers. CoRR cs.AI/0210030 (2002)
2001
j13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens: Support Vector Machines: A Nonlinear Modelling and Control Perspective. Eur. J. Control 7(2-3): 311-327 (2001)
j12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. 16(9): 1023-1036 (2001)
j11no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Michel Duhoux, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Improved Long-Term Temperature Prediction by Chaining of Neural Networks. Int. J. Neural Syst. 11(1): 1-10 (2001)
j10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Optimal control by least squares support vector machines. Neural Networks 14(1): 23-35 (2001)
j9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle: Financial time series prediction using least squares support vector machines within the evidence framework. IEEE Transactions on Neural Networks 12(4): 809-821 (2001)
c10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Automatic relevance determination for Least Squares Support Vector Machines classifiers. ESANN 2001: 13-18
c9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle: Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. ICANN 2001: 384-389
2000
j8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Robust local stability of multilayer recurrent neural networks. IEEE Trans. Neural Netw. Learning Syst. 11(1): 222-229 (2000)
c8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle: Sparse least squares Support Vector Machine classifiers. ESANN 2000: 37-42
c7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle: The K.U.Leuven competition data: a challenge for advanced neural network techniques. ESANN 2000: 299-304
c6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen: An empirical assessment of kernel type performance for least squares support vector machine classifiers. KES 2000: 313-316
c5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD 2000: 657-664
1999
j7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9(3): 293-300 (1999)
j6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle: Training multilayer perceptron classifiers based on a modified support vector method. IEEE Transactions on Neural Networks 10(4): 907-911 (1999)
c4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: On the realization of n-scroll attractors. ISCAS (5) 1999: 483-486
1998
j5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Herman Verrelst, Joos Vandewalle: On-Line Learning Fokker-Planck Machine. Neural Processing Letters 7(2): 81-89 (1998)
c3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle: Improved generalization ability of neurocontrollers by imposing NLq stability constraints. ESANN 1998: 99-104
1997
j4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria. Neural Networks 10(4): 615-637 (1997)
j3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling. IEEE Transactions on Signal Processing 45(11): 2682-2691 (1997)
1996
b1no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Artificial neural networks for modelling and control of non-linear systems. Kluwer 1996, isbn 978-0-7923-9678-9, pp. I-XII, 1-235
j2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Philippe Lemmerling, W. Favoreel, Bart De Moor, M. Crepel, P. Briol: Modelling the Belgian Gas Consumption Using Neural Networks. Neural Processing Letters 4(3): 157-166 (1996)
1995
c2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: NLq theory: unifications in the theory of neural networks, systems and control. ESANN 1995
c1no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Joos Vandewalle: Generalized Cellular Neural Networks Represented in he NLq Framework. ISCAS 1995: 645-648
1994
j1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points. Neural Networks 7(5): 819-831 (1994)

Coauthor Index

1Carlos Alzate
[j75] [c68] [c66] [j64] [c64] [c62] [c61] [j53] [c57] [c46] [c44] [j49] [j45] [c37] [c32] [c28]
2Lieveke Ameye
[c13]
3Carles Arús
[j40] [j23] [c14]
4Bart Baesens
[j38] [j37] [j21] [j12] [c6] [c5]
5Dirk-Emma Baestaens
[j37] [j9]
6Vanya Van Belle
[j80] [j68] [j67] [j63] [c56] [c48] [c43] [c39]
7Tijl De Bie
[c18]
8Désiré Bollé
[j52]
9Tom Bourne
[c35]
10Stephen Boyd
[j80]
11Jos De Brabanter
[j73] [c67] [j62] [j57] [j55] [j50] [c47] [i3] [j29] [j28] [j27] [i2] [j16] [c13] [c12] [c9]
12Kris De Brabanter
[j73] [c67] [j62] [j61] [j57] [c65] [j55] [c47]
13P. Briol
[j2]
14J. Buijs
[j34]
15Lutgarde M. C. Buydens
[j65]
16Ben Van Calster
[c35]
17Sofie Van Cauter
[c52]
18Bernardo Celda
[c52]
19Andreas Christmann
[j54]
20Nikolay Chumerin
[j76] [c45] [c42]
21Adrien Combaz
[j76] [c45] [c42]
22George Condous
[c35]
23M. Crepel
[j2]
24Anneleen Daemen
[j56]
25Hans Daniels
[c13]
26Michiel Debruyne
[j54] [c47]
27Guido Dedene
[j21] [j12] [c6] [c5]
28Hugo Devlieger
[c13]
29Andy Devos
[j40] [j23] [c14]
30Moritz Diehl
[c51]
31Peter Van Dijcke
[j38]
32Dang Doan
[c41]
33Paul Van Dooren
[j19]
34Alexander Dorado
[j72]
35José R. Dorronsoro
[c65]
36Michel Duhoux
[j11]
37Ioan Dumitrache
[c60]
38Marcelo Espinoza
[c46] [j27] [j24] [c23]
39Tillmann Falck
[j70] [j56] [c59] [c58] [c54] [c50]
40W. Favoreel
[j2]
41Witek Gajewicz
[j65]
42Joao Garcia
[j38]
43Dries Geebelen
[j71]
44Tony Van Gestel
[j38] [j37] [j21] [j20] [j19] [j18] [c17] [j15] [j14] [j12] [j9] [c10] [c9] [c6] [c5]
45Wolfgang Glänzel
[j74] [j66]
46Ivan Goethals
[j41] [j33] [j25] [i2] [j19]
47M. Van Der Graaf
[j23]
48Serkan Günel
[j43]
49Bart Hamers
[c11]
50Vernon Harvey
[j80]
51Arend Heerschap
[j65] [j44]
52Dániel Hillier
[j43]
53Uwe Himmelreich
[c52]
54Luc Hoegaerts
[j41] [j31] [c20] [c16]
55Chris Van Hoof
[c42]
56Franklyn A. Howe
[j23]
57Mia Hubert
[j54] [c47]
58Sabine Van Huffel
[j80] [j77] [j72] [j68] [j67] [j65] [j63] [c63] [c56] [c52] [c48] [c43] [c39] [j44] [j40] [c35] [j23] [j20] [c17] [c14] [c13]
59Marc M. Van Hulle
[j76] [c45] [c42]
60Borbala Hunyadi
[c63]
61Albert J. Idema
[j65]
62Frizo A. L. Janssens
[j32] [c26]
63Li Jiang
[c64]
64Margarida Julià-Sapé
[j65]
65Peter Karsmakers
[j73] [j61] [c34] [c31]
66Slavko Krajcar
[j81]
67Annemie Lambrechts
[j15] [j14] [j9]
68Gert R. G. Lanckriet
[j15] [j14] [j9]
69Rocco Langone
[j82] [c66] [c62]
70Lieven De Lathauwer
[j69] [j60] [c55] [j41]
71Teresa Laudadio
[c52]
72Philippe Lemmerling
[j2]
73Xinhai Liu
[j74] [j66]
74Xuyang Lou
[j79]
75Chuan Lu
[j40] [j20] [c17] [c13]
76Lukas Lukas
[j23] [j16] [c14] [c13] [c8]
77Jan Luts
[j77] [j65] [c52] [j44] [c35]
78Jorge López Lázaro
[j59] [c65]
79Carles Majós
[j23] [c14]
80Raghvendra Mall
[j82] [c69]
81Nikolay V. Manyakov
[j76] [c45] [c42]
82Kathleen Marchal
[j32] [c26]
83M. Carmen Martinez-Bisbal
[c52]
84Marin Matijas
[j81]
85Siamak Mehrkanoon
[j78] [j70] [c64]
86Patrick Merken
[c42]
87Geert Molenberghs
[j77]
88Enrique Molla
[c52]
89Marc Moonen
[j51]
90Bart De Moor
[j74] [j73] [c67] [j66] [j62] [j58] [j57] [j56] [j55] [c59] [c58] [c54] [c53] [j50] [c50] [c47] [c46] [j48] [j42] [j41] [j39] [c36] [c33] [c29] [i3] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [c26] [c25] [c23] [i2] [j22] [j21] [c22] [c21] [c20] [c18] [j19] [j18] [c16] [j15] [j14] [c11] [i1] [j12] [j11] [j10] [j9] [c10] [c9] [j8] [c6] [c5] [j4] [j3] [b1] [j2] [c2] [j1]
91Yves Moreau
[j74] [j66] [j56]
92Àngel Moreno-Torres
[j65] [j23]
93Gunnar Naulaers
[c13]
94Ion Necoara
[j51] [c60] [c51] [j47] [c41] [c40]
95Patrick Neven
[j80]
96Herc P. Neves (Hercules P. Neves)
[c42]
97Fabian Ojeda
[c54] [c53] [j48] [c33]
98Emanuele Olivetti
[j69]
99Wim Van Paesschen
[c63]
100Kristiaan Pelckmans
[j68] [j67] [j63] [j61] [c56] [j50] [c49] [c48] [c47] [c43] [c39] [c38] [j42] [j39] [c36] [c34] [c31] [c30] [c29] [i3] [j35] [j33] [j30] [j29] [j28] [j27] [j25] [c25] [i2] [c22] [c21] [c12]
101Jose Piquer
[c52]
102Raf Van de Plas
[j58] [c53]
103B. Pluymers
[j34] [j26]
104Nathalie Pochet
[j32] [c26] [j22]
105Dirk Van den Poel
[j37] [j12] [c5]
106Geert J. Postma
[j65]
107Arne Robben
[j76]
108L. Roobrouck
[j34]
109Carlo Savorgnan
[c51]
110Johan Schoukens
[c58]
111John Shawe-Taylor
[j42]
112Marco Signoretto
[j69] [j60] [j58] [c63] [c55] [c53] [c38]
113Frank De Smet
[j32] [c26] [j22]
114Samuel Xavier de Souza
[j52]
115Anne Rosemary Tate
[j23] [c14]
116Dirk Timmerman
[c35] [j20] [c17]
117Tom Torfs
[c42]
118Dinh Quoc Tran
[c51]
119Léon-Charles Tranchevent
[j74] [j66] [j56]
120Paschalis Tsiaflakis
[j51]
121Bruno Vandaele
[j9]
122Joos Vandewalle
[j71] [c67] [j52] [j43] [j41] [c27] [j31] [c24] [j21] [c20] [c19] [j18] [c16] [c15] [j17] [j16] [j15] [j14] [c12] [i1] [j11] [j10] [j9] [c10] [c9] [j8] [c8] [c7] [j7] [j6] [c4] [j5] [c3] [j4] [j3] [b1] [c2] [c1] [j1]
123Leentje Vanhamme
[j23] [c14]
124Jan Vanthienen
[j38] [j21] [j12] [c6] [c5]
125Carolina Varon
[j72]
126Geert Verbeke
[j77]
127Ignace Vergote
[c26] [j20] [c17]
128Herman Verrelst
[j5]
129Stijn Viaene
[j21] [j12] [c6] [c5]
130Maarten De Vos
[c63]
131Etienne Waelkens
[c53]
132Devy Widjaja
[j72]
133Marleen Willekens
[j37]
134Mustak E. Yalcin (Mustak Erhan Yalcin)
[j36] [c27] [c24] [c19] [c15] [j17] [c4]
135Refet Firat Yazicioglu
[c42]
136Shi Yu
[j74] [j66] [j56]
137Hugo Van hamme (Hugo Van Hamme)
[j61] [c31]
138Serdar Özoguz
[j17]

Colors in the list of coauthors

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