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Bart De Moor
2010 – today
- 2013
[j120]Adeshola A. Adefioye, Xinhai Liu, Bart De Moor: Multi-view spectral clustering and its chemical application. I. J. Computational Biology and Drug Design 6(1/2): 32-49 (2013)- [j119]Kim Batselier, Philippe Dreesen, Bart De Moor: The Geometry of Multivariate Polynomial Division and Elimination. SIAM J. Matrix Analysis Applications 34(1): 102-125 (2013)
- [j118]Diana Ugryumova, Gerd Vandersteen, Bart Huyck, Filip Logist, Jan F. M. Van Impe, Bart De Moor: Identification of a Noninsulated Distillation Column From Transient Response Data. IEEE T. Instrumentation and Measurement 62(5): 1382-1391 (2013)
- [j117]Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, Bart De Moor: Multiview Partitioning via Tensor Methods. IEEE Trans. Knowl. Data Eng. 25(5): 1056-1069 (2013)
- 2012
- [j116]Anneleen Daemen, Dirk Timmerman, Thierry Van den Bosch, Cecilia Bottomley, Emma Kirk, Caroline Van Holsbeke, Lil Valentin, Tom Bourne, Bart De Moor: Improved modeling of clinical data with kernel methods. Artificial Intelligence in Medicine 54(2): 103-114 (2012)
- [j115]Ernesto Iacucci, Léon-Charles Tranchevent, Dusan Popovic, Georgios A. Pavlopoulos, Bart De Moor, Reinhard Schneider, Yves Moreau: ReLiance: a machine learning and literature-based prioritization of receptor - ligand pairings. Bioinformatics 28(18): 569-574 (2012)
- [j114]Daniela Börnigen, Léon-Charles Tranchevent, Francisco Bonachela Capdevila, Koenraad Devriendt, Bart De Moor, Patrick De Causmaecker, Yves Moreau: An unbiased evaluation of gene prioritization tools. Bioinformatics 28(23): 3081-3088 (2012)
- [j113]Ernesto Iacucci, Léon-Charles Tranchevent, Dusan Popovic, Georgios A. Pavlopoulos, Bart De Moor, Reinhard Schneider, Yves Moreau: A bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs. BMC Bioinformatics 13(S-18): A7 (2012)
- [j112]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)
- [j111]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)
- [j110]Xinhai Liu, Wolfgang Glänzel, Bart De Moor: Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping. Scientometrics 91(2): 473-493 (2012)
- [c65]Maarten Breckpot, Oscar Mauricio Agudelo, Bart De Moor: Model Predictive Control applied to a river system with two reaches. CDC 2012: 4549-4554
- [c64]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
- [c63]Dusan Popovic, Alejandro Sifrim, Georgios A. Pavlopoulos, Yves Moreau, Bart De Moor: A Simple Genetic Algorithm for Biomarker Mining. PRIB 2012: 222-232
- [c62]Ernesto Iacucci, Dusan Popovic, Georgios A. Pavlopoulos, Léon-Charles Tranchevent, Marijke Bauters, Bart De Moor, Yves Moreau: Towards Better Prioritization of Epigenetically Modified DNA Regions. SETN 2012: 270-277
- 2011
- [b2]Shi Yu, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau: Kernel-based Data Fusion for Machine Learning - Methods and Applications in Bioinformatics and Text Mining. Studies in Computational Intelligence 345, Springer 2011, ISBN 978-3-642-19405-4, pp. 1-208
- [j109]Léon-Charles Tranchevent, Francisco Bonachela Capdevila, Daniela Nitsch, Bart De Moor, Patrick De Causmaecker, Yves Moreau: A guide to web tools to prioritize candidate genes. Briefings in Bioinformatics 12(1): 22-32 (2011)
- [j108]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)
- [j107]Ernesto Iacucci, Fabian Ojeda, Bart De Moor, Yves Moreau: Predicting Receptor-Ligand Pairs through Kernel Learning. BMC Bioinformatics 12: 336 (2011)
- [j106]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)
- [j105]Xinhai Liu, Wolfgang Glänzel, Bart De Moor: Hybrid clustering of multi-view data via Tucker-2 model and its application. Scientometrics 88(3): 819-839 (2011)
- [j104]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)
- [j103]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)
- [c61]Oscar Mauricio Agudelo, Oscar Barrero, Viaene Peter, Bart De Moor: Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter. CDC-ECE 2011: 4430-4435
- 2010
- [j102]Shi Yu, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau: Gene prioritization and clustering by multi-view text mining. BMC Bioinformatics 11: 28 (2010)
- [j101]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)
- [j100]Daniela Nitsch, Joana P. Gonçalves, Fabian Ojeda, Bart De Moor, Yves Moreau: Candidate gene prioritization by network analysis of differential expression using machine learning approaches. BMC Bioinformatics 11: 460 (2010)
- [j99]Julian Bonilla Alarcon, Moritz Diehl, Filip Logist, Bart De Moor, Jan F. M. Van Impe: An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models. Computers & Chemical Engineering 34(6): 953-964 (2010)
- [j98]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)
- [j97]Xinhai Liu, Shi Yu, Frizo A. L. Janssens, Wolfgang Glänzel, Yves Moreau, Bart De Moor: Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database. JASIST 61(6): 1105-1119 (2010)
- [c60]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor: Reduction of the computational burden of POD models with polynomial nonlinearities. CDC 2010: 3457-3462
- [c59]Maarten Breckpot, Toni Barjas Blanco, Bart De Moor: Flood control of rivers with nonlinear model predictive control and moving horizon estimation. CDC 2010: 6107-6112
- [c58]Tillmann Falck, Johan A. K. Suykens, Bart De Moor: Linear parametric noise models for Least Squares Support Vector Machines. CDC 2010: 6389-6394
- [c57]Tillmann Falck, Johan A. K. Suykens, Johan Schoukens, Bart De Moor: Nuclear norm regularization for overparametrized Hammerstein systems. CDC 2010: 7202-7207
- [c56]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
- [c55]Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor: Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) 2010: 337-345
- [c54]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
2000 – 2009
- 2009
- [j96]Hong Sun, Karen Lemmens, Tim Van den Bulcke, Kristof Engelen, Bart De Moor, Kathleen Marchal: ViTraM: visualization of transcriptional modules. Bioinformatics 25(18): 2450-2451 (2009)
- [j95]Joke Allemeersch, Steven Van Vooren, Femke Hannes, Bart De Moor, Joris Robert Vermeesch, Yves Moreau: An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH. BMC Bioinformatics 10: 380 (2009)
- [j94]Hong Sun, Tijl De Bie, Valerie Storms, Qiang Fu, Thomas Dhollander, Karen Lemmens, Annemieke Verstuyf, Bart De Moor, Kathleen Marchal: ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules. BMC Bioinformatics 10(S-1) (2009)
- [j93]Frizo A. L. Janssens, Lin Zhang, Bart De Moor, Wolfgang Glänzel: Hybrid clustering for validation and improvement of subject-classification schemes. Inf. Process. Manage. 45(6): 683-702 (2009)
- [j92]Oscar Mauricio Agudelo, Michel Baes, Jairo Jose Espinosa, Moritz Diehl, Bart De Moor: Positive Polynomial Constraints for POD-based Model Predictive Controllers. IEEE Trans. Automat. Contr. 54(5): 988-999 (2009)
- [j91]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)
- [c53]Niels Haverbeke, Moritz Diehl, Bart De Moor: A structure exploiting interior-point method for moving horizon estimation. CDC 2009: 1273-1278
- [c52]Julian Bonilla Alarcon, Moritz Diehl, Filip Logist, Bart De Moor, Jan F. M. Van Impe: A convex approximation for parameter estimation involving parameter-affine dynamic models. CDC 2009: 4670-4675
- [c51]Tillmann Falck, Johan A. K. Suykens, Bart De Moor: Robustness analysis for Least Squares kernel based regression: an optimization approach. CDC 2009: 6774-6779
- [c50]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
- [c49]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
- [c48]Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel: Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. ICDM Workshops 2009: 521-526
- [c47]Hong Sun, Tim Van den Bulcke, Bart De Moor, Karen Lemmens, Kristof Engelen, Kathleen Marchal: Layout and Post-Processing of Transcriptional Modules. IJCBS 2009: 116-121
- [c46]Anneleen Daemen, Olivier Gevaert, Karin Leunen, Eric Legius, Ignace Vergote, Bart De Moor: Supervised Classification of Array CGH Data with HMM-Based Feature Selection. Pacific Symposium on Biocomputing 2009: 468-479
- [c45]Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel, Frizo A. L. Janssens: Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. SDM 2009: 49-60
- [p1]Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman: Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128
- 2008
- [j90]Koenraad Van Leemput, Tim Van den Bulcke, Thomas Dhollander, Bart De Moor, Kathleen Marchal, Piet van Remortel: Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. Artificial Life 14(1): 49-63 (2008)
- [j89]Joris Vertommen, Frizo A. L. Janssens, Bart De Moor, Joost R. Duflou: Multiple-vector user profiles in support of knowledge sharing. Inf. Sci. 178(17): 3333-3346 (2008)
- [j88]Victor Rodriguez, Frizo A. L. Janssens, Koenraad Debackere, Bart De Moor: On material transfer agreements and visibility of researchers in biotechnology. J. Informetrics 2(1): 89-100 (2008)
- [j87]Léon-Charles Tranchevent, Roland Barriot, Shi Yu, Steven Van Vooren, Peter Van Loo, Bert Coessens, Bart De Moor, Stein Aerts, Yves Moreau: ENDEAVOUR update: a web resource for gene prioritization in multiple species. Nucleic Acids Research 36(Web-Server-Issue): 377-384 (2008)
- [j86]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)
- [j85]Bart Vanluyten, Jan C. Willems, Bart De Moor: Equivalence of state representations for hidden Markov models. Systems & Control Letters 57(5): 410-419 (2008)
- [c44]Oscar Mauricio Agudelo, Jairo Jorge Espinosa, Bart De Moor: Algorithm for reducing the number of constraints of POD-based predictive controllers. CDC 2008: 4743-4748
- [c43]Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor, Jan F. M. Van Impe: A nonlinear least squares estimation procedure without initial parameter guesses. CDC 2008: 5519-5524
- [c42]Shi Yu, Steven Van Vooren, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau: Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining. ECCB 2008: 119-125
- [c41]Anneleen Daemen, Olivier Gevaert, Karin Leunen, Vanessa Vanspauwen, Geneviève Michils, Eric Legius, Ignace Vergote, Bart De Moor: Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. KES (2) 2008: 165-172
- [c40]Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor, Karin Haustermans: Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. Pacific Symposium on Biocomputing 2008: 166-177
- [c39]O. Gaevert, Steven Van Vooren, Bart De Moor: Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients. Pacific Symposium on Biocomputing 2008: 279-290
- [c38]Raf Van de Plas, Bart De Moor, Etienne Waelkens: Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry. SAC 2008: 1307-1308
- 2007
- [j84]Steven Gillijns, Bart De Moor: Unbiased minimum-variance input and state estimation for linear discrete-time systems. Automatica 43(1): 111-116 (2007)
- [j83]Steven Gillijns, Bart De Moor: Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough. Automatica 43(5): 934-937 (2007)
- [j82]Hui Zhao, Kristof Engelen, Bart De Moor, Kathleen Marchal: CALIB: a Bioconductor package for estimating absolute expression levels from two-color microarray data. Bioinformatics 23(13): 1700-1701 (2007)
- [j81]Thomas Dhollander, Qizheng Sheng, Karen Lemmens, Bart De Moor, Kathleen Marchal, Yves Moreau: Query-driven module discovery in microarray data. Bioinformatics 23(19): 2573-2580 (2007)
- [j80]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)
- [j79]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)
- [j78]Victor Rodriguez, Frizo A. L. Janssens, Koenraad Debackere, Bart De Moor: Do material transfer agreements affect the choice of research agendas? The case of biotechnology in Belgium. Scientometrics 71(2): 239-269 (2007)
- [j77]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)
- [c37]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Convex optimization for the design of learning machines. ESANN 2007: 193-204
- [c36]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
- [c35]Frizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor: Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis. KDD 2007: 360-369
- [c34]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: A Risk Minimization Principle for a Class of Parzen Estimators. NIPS 2007
- [c33]Raf Van de Plas, Fabian Ojeda, Maarten Dewil, Ludo Van Den Bosch, Bart De Moor, Etienne Waelkens: Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis. Pacific Symposium on Biocomputing 2007: 458-469
- [i5]Diederik Aerts, Marek Czachor, Bart De Moor: Geometric Analogue of Holographic Reduced Representation. CoRR abs/0710.2611 (2007)
- [i4]Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Support and Quantile Tubes. CoRR abs/cs/0703055 (2007)
- 2006
- [j76]Kristof Engelen, Bart Naudts, Bart De Moor, Kathleen Marchal: A calibration method for estimating absolute expression levels from microarray data. Bioinformatics 22(10): 1251-1258 (2006)
- [j75]Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal: SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinformatics 7: 43 (2006)
- [j74]Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigrid C. J. De Keersmaecker, Jozef Vanderleyden, Bart De Moor, Kathleen Marchal: More robust detection of motifs in coexpressed genes by using phylogenetic information. BMC Bioinformatics 7: 160 (2006)
- [j73]Frizo A. L. Janssens, Jacqueline Leta, Wolfgang Glänzel, Bart De Moor: Towards mapping library and information science. Inf. Process. Manage. 42(6): 1614-1642 (2006)
- [j72]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)
- [j71]Zhaoyang Wan, Bert Pluymers, Mayuresh V. Kothare, Bart De Moor: Comments on: "Efficient robust constrained model predictive control with a time varying terminal constraint set" by Wan and Kothare. Systems & Control Letters 55(7): 618-621 (2006)
- [c32]Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Mats Viberg, Bart De Moor: Region-Based Statistical Background Modeling for Foreground Object Segmentation. ICIP 2006: 3317-3320
- [c31]Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor: Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 184-190
- [c30]Shi Yu, Steven Van Vooren, Bert Coessens, Bart De Moor: Interpreting Gene Profiles from Biomedical Literature Mining with Self Organizing Maps. ISNN (2) 2006: 635-641
- [c29]Maja Hadzic, Bart De Moor, Yves Moreau, Arek Kasprzyk: KSinBIT 2006 PC Co-chairs' Message. OTM Workshops (1) 2006: 647
- [c28]Bert Coessens, Stijn Christiaens, Ruben Verlinden, Yves Moreau, Robert Meersman, Bart De Moor: Ontology Guided Data Integration for Computational Prioritization of Disease Genes. OTM Workshops (1) 2006: 689-698
- [i3]Diederik Aerts, Marek Czachor, Bart De Moor: On Geometric Algebra representation of Binary Spatter Codes. CoRR abs/cs/0610075 (2006)
- 2005
- [j70]Ivan Markovsky, Bart De Moor: Linear dynamic filtering with noisy input and output. Automatica 41(1): 167-171 (2005)
- [j69]Ivan Markovsky, Jan C. Willems, Paolo Rapisarda, Bart De Moor: Algorithms for deterministic balanced subspace identification. Automatica 41(5): 755-766 (2005)
- [j68]Bert 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)
- [j67]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)
- [j66]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)
- [j65]Steffen Durinck, Yves Moreau, Arek Kasprzyk, Sean Davis, Bart De Moor, Alvis Brazma, Wolfgang Huber: BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Bioinformatics 21(16): 3439-3440 (2005)
- [j64]Björn Menten, Filip Pattyn, Katleen De Preter, Piet Robbrecht, Evi Michels, Karen Buysse, Geert Mortier, Anne De Paepe, Steven Van Vooren, Joris Robert Vermeesch, Yves Moreau, Bart De Moor, Stefan Vermeulen, Frank Speleman, Jo Vandesompele: arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays. BMC Bioinformatics 6: 124 (2005)
- [j63]Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Subset based least squares subspace regression in RKHS. Neurocomputing 63: 293-323 (2005)
- [j62]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Building sparse representations and structure determination on LS-SVM substrates. Neurocomputing 64: 137-159 (2005)
- [j61]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)
- [j60]Patrick Glenisson, Wolfgang Glänzel, Frizo A. L. Janssens, Bart De Moor: Combining full text and bibliometric information in mapping scientific disciplines. Inf. Process. Manage. 41(6): 1548-1572 (2005)
- [j59]Stein Aerts, Peter Van Loo, Gert Thijs, Herbert Mayer, Rainer de Martin, Yves Moreau, Bart De Moor: TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis. Nucleic Acids Research 33(Web-Server-Issue): 393-396 (2005)
- [j58]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)
- [j57]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)
- [j56]Jan C. Willems, Paolo Rapisarda, Ivan Markovsky, Bart De Moor: A note on persistency of excitation. Systems & Control Letters 54(4): 325-329 (2005)
- [j55]Bert 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)
- [j54]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon: Application of structured total least squares for system identification and model reduction. IEEE Trans. Automat. Contr. 50(10): 1490-1500 (2005)
- [j53]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)
- [j52]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)
- [c27]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
- [c26]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Componentwise Support Vector Machines for Structure Detection. ICANN (2) 2005: 643-648
- [c25]Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor: Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. IWANN 2005: 1018-1026
- [c24]Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal: Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. Pacific Symposium on Biocomputing 2005
- [i2]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
- [j51]Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor: Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artificial Intelligence in Medicine 30(3): 257-281 (2004)
- [j50]Stein Aerts, Peter Van Loo, Yves Moreau, Bart De Moor: A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes. Bioinformatics 20(12): 1974-1976 (2004)
- [j49]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)
- [j48]Steffen Durinck, Joke Allemeersch, Vincent Carey, Yves Moreau, Bart De Moor: Importing MAGE-ML format microarray data into BioConductor. Bioinformatics 20(18): 3641-3642 (2004)
- [j47]Arie Yeredor, Bart De Moor: On homogeneous least-squares problems and the inconsistency introduced by mis-constraining. Computational Statistics & Data Analysis 47(3): 455-465 (2004)
- [j46]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)
- [j45]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle: Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition. SIAM J. Matrix Analysis Applications 26(2): 295-327 (2004)
- [c23]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Sparse LS-SVMs using additive regularization with a penalized validation criterion. ESANN 2004: 435-440
- [c22]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. ICONIP 2004: 1216-1222
- [c21]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
- [c20]Tijl De Bie, Johan A. K. Suykens, Bart De Moor: Learning from General Label Constraints. SSPR/SPR 2004: 671-679
- 2003
- [j44]Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor: Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artificial Intelligence in Medicine 29(1-2): 39-60 (2003)
- [j43]Kristof Engelen, Bert Coessens, Kathleen Marchal, Bart De Moor: MARAN: Normalizing Micro-array Data. Bioinformatics 19(7): 893-894 (2003)
- [j42]Bart De Moor, Kathleen Marchal, Janick Mathys, Yves Moreau: Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars. Eur. J. Control 9(2-3): 237-278 (2003)
- [j41]
- [j40]Bert Coessens, Gert Thijs, Stein Aerts, Kathleen Marchal, Frank De Smet, Kristof Engelen, Patrick Glenisson, Yves Moreau, Janick Mathys, Bart De Moor: INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis. Nucleic Acids Research 31(13): 3468-3470 (2003)
- [j39]Patrick Glenisson, Janick Mathys, Bart De Moor: Meta-clustering of gene expression data and literature-based information. SIGKDD Explorations 5(2): 101-112 (2003)
- [j38]Katrien De Cock, Bernard Hanzon, Bart De Moor: On a cepstral norm for an ARMA model and the polar plot of the logarithm of its transfer function. Signal Processing 83(2): 439-443 (2003)
- [j37]Geert Ysebaert, Katleen Van Acker, Marc Moonen, Bart De Moor: Constraints in channel shortening equalizer design for DMT-based systems. Signal Processing 83(3): 641-648 (2003)
- [j36]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)
- [j35]Axel Nackaerts, Bart De Moor, Rudy Lauwereins: A formant filtered physical model for wind instruments. IEEE Transactions on Speech and Audio Processing 11(1): 36-44 (2003)
- [j34]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)
- [c19]Stein Aerts, Peter Van Loo, Gert Thijs, Yves Moreau, Bart De Moor: Computational detection of cis-regulatory modules. ECCB 2003: 5-14
- [c18]Qizheng Sheng, Yves Moreau, Bart De Moor: Biclustering microarray data by Gibbs sampling. ECCB 2003: 196-205
- [c17]Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Kernel PLS variants for regression. ESANN 2003: 200-208
- [c16]B. Vandermeulen, Joost R. Duflou, Bart De Moor: The Role of User Profiles in Vector-Based Information Retrieval. IKE 2003: 668-669
- [c15]Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor: Evaluation of the Vector Space Representation in Text-Based Gene Clustering. Pacific Symposium on Biocomputing 2003: 391-402
- [c14]Patrick Glenisson, Bert Coessens, Steven Van Vooren, Yves Moreau, Bart De Moor: Text-Based Gene Profiling with Domain-Specific Views. SWDB 2003: 15-31
- 2002
- [j33]Gert Thijs, Yves Moreau, Frank De Smet, Janick Mathys, Magali Lescot, Stephane Rombauts, Pierre Rouzé, Bart De Moor, Kathleen Marchal: INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling. Bioinformatics 18(2): 331-332 (2002)
- [j32]Frank De Smet, Janick Mathys, Kathleen Marchal, Gert Thijs, Bart De Moor, Yves Moreau: Adaptive quality-based clustering of gene expression profiles. Bioinformatics 18(5): 735-746 (2002)
- [j31]Gert Thijs, Kathleen Marchal, Magali Lescot, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau: A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes. Journal of Computational Biology 9(2): 447-464 (2002)
- [j30]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)
- [j29]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)
- [c13]Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau: Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS 2002: 282-287
- [c12]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
- [i1]Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Intelligence and Cooperative Search by Coupled Local Minimizers. CoRR cs.AI/0210030 (2002)
- 2001
- [j28]
- [j27]Gert Thijs, Magali Lescot, Kathleen Marchal, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau: A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling. Bioinformatics 17(12): 1113-1122 (2001)
- [j26]Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee: On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds. Eur. J. Control 7(6): 584-592 (2001)
- [j25]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)
- [j24]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)
- [j23]Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Optimal control by least squares support vector machines. Neural Networks 14(1): 23-35 (2001)
- [j22]Philippe Lemmerling, Leentje Vanhamme, Sabine Van Huffel, Bart De Moor: IQML-like algorithms for solving structured total least squares problems: a unified view. Signal Processing 81(9): 1935-1945 (2001)
- [j21]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)
- [j20]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle: Independent component analysis and (simultaneous) third-order tensor diagonalization. IEEE Transactions on Signal Processing 49(10): 2262-2271 (2001)
- [c11]Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman: Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME 2001: 177-187
- [c10]Peter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki: Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. CBMS 2001: 177-182
- [c9]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
- [c8]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
- [c7]Gert Thijs, Kathleen Marchal, Magali Lescot, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau: A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes. RECOMB 2001: 305-312
- 2000
- [j19]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle: Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomed. Engineering 47(5): 567-572 (2000)
- [j18]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)
- [c6]Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote: Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108
- [c5]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
- [c4]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
1990 – 1999
- 1997
- [j17]Peter Van Overschee, Bart De Moor, Wouter Dehandschutter, Jan Swevers: A subspace algorithm for the identification of discrete time frequency domain power spectra. Automatica 33(12): 2147-2157 (1997)
- [j16]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)
- [j15]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)
- [c3]Bart De Schutter, Bart De Moor: The Extended Linear Complementary Problem and the Modeling and Analysis of Hybrid Systems. Hybrid Systems 1997: 70-85
- [c2]Bart De Schutter, Bart De Moor: Generalized Linear Complementary Problems and the Analysis of Continuously Variable Systems and Discrete Event Systems. HART 1997: 409-414
- 1996
- [b1]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
- [j14]Bart De Schutter, Bart De Moor: A method to find all solutions of a system of multivariate polynomial equalities and inequalities in the max algebra. Discrete Event Dynamic Systems 6(2): 115-138 (1996)
- [j13]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)
- [j12]Philippe Lemmerling, Bart De Moor, Sabine Van Huffel: On the equivalence of constrained total least squares and structured total least squares. IEEE Transactions on Signal Processing 44(11): 2908-2911 (1996)
- 1995
- [j11]Christiaan Moons, Bart De Moor: Parameter identification of induction motor drives. Automatica 31(8): 1137-1147 (1995)
- [j10]Peter Van Overschee, Bart De Moor: A unifying theorem for three subspace system identification algorithms. Automatica 31(12): 1853-1864 (1995)
- [j9]Peter Van Overschee, Bart De Moor: Choice of state-space basis in combined deterministic-stochastic subspace identification. Automatica 31(12): 1877-1883 (1995)
- [j8]Bart De Schutter, Bart De Moor: The extended linear complementarity problem. Math. Program. 71: 289-325 (1995)
- [c1]Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: NLq theory: unifications in the theory of neural networks, systems and control. ESANN 1995
- 1994
- [j7]Peter Van Overschee, Bart De Moor: N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems. Automatica 30(1): 75-93 (1994)
- [j6]Bart De Moor, Michel Gevers, Graham C. Goodwin: L2-overbiased, L2-underbiased and L2-unbiased estimation of transfer functions. Automatica 30(5): 893-898 (1994)
- [j5]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)
- [j4]Bart De Moor: Total least squares for affinely structured matrices and the noisy realization problem. IEEE Transactions on Signal Processing 42(11): 3104-3113 (1994)
- 1993
- [j3]Peter Van Overschee, Bart De Moor: Subspace algorithms for the stochastic identification problem, . Automatica 29(3): 649-660 (1993)
- [j2]Bart De Moor: The singular value decomposition and long and short spaces of noisy matrices. IEEE Transactions on Signal Processing 41(9): 2826-2838 (1993)
- 1992
- [j1]Bart De Moor, Lieven Vandenberghe, Joos Vandewalle: The generalized linear complementarity problem and an algorithm to find all its solutions. Math. Program. 57: 415-426 (1992)
Coauthor Index
[j112] [j111] [c64] [j108] [j106] [j104] [j103] [j101] [j98] [c58] [c57] [c56] [c54] [j91] [c51] [c50] [c49] [j86] [j80] [j79] [j77] [c37] [c36] [c34] [i4] [j72] [j68] [j67] [j66] [j63] [j62] [j61] [j58] [j57] [j55] [j53] [j52] [c27] [c26] [c25] [i2] [j49] [j46] [c23] [c22] [c21] [c20] [j36] [j34] [c17] [j30] [j29] [c12] [i1] [j25] [j24] [j23] [j21] [c9] [c8] [j18] [c5] [c4] [j16] [j15] [b1] [j13] [c1] [j5]
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last updated on 2013-06-11 21:37 CEST by the dblp team