| 2025 | MICCAI | Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis. | Axel Geysels, Ben Van Calster, Bart De Moor, Wouter Froyman, Dirk Timmerman |
| 2024 | IC3K | EX-DSS: An Explorative Decision Support System for Designing and Deploying Smart Plug Forecasting Pipelines. | Giulia Rinaldi, Lola Botman, Oscar Mauricio Agudelo, Bart De Moor |
| 2022 | ESANN | Recurrent Restricted Kernel Machines for Time-series Forecasting. | Arun Pandey, Hannes De Meulemeester, Henri De Plaen, Bart De Moor, Johan A. K. Suykens |
| 2020 | IJCNN | Unsupervised Embeddings for Categorical Variables. | Hannes De Meulemeester, Bart De Moor |
| 2014 | CBMS | A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery. | Dusan Popovic, Charalampos N. Moschopoulos, Ryo Sakai, Alejandro Sifrim, Jan Aerts, Yves Moreau, Bart De Moor |
| 2013 | EANN | A Genetic Algorithm for Pancreatic Cancer Diagnosis. | Charalampos N. Moschopoulos, Dusan Popovic, Alejandro Sifrim, Grigorios N. Beligiannis, Bart De Moor, Yves Moreau |
| 2013 | EANN | A Hybrid Approach to Feature Ranking for Microarray Data Classification. | Dusan Popovic, Alejandro Sifrim, Charalampos N. Moschopoulos, Yves Moreau, Bart De Moor |
| 2012 | ESANN | maximum likelihood estimation and polynomial system solving. | Kim Batselier, Philippe Dreesen, Bart De Moor |
| 2012 | ESANN | Deconvolution in nonparametric statistics. | Kris De Brabanter, Bart De Moor |
| 2012 | ESANN | Weighted/Structured Total Least Squares problems and polynomial system solving. | Philippe Dreesen, Kim Batselier, Bart De Moor |
| 2012 | ESANN | Joint Regression and Linear Combination of Time Series for Optimal Prediction. | Dries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle |
| 2012 | IJCNN | Robustness of kernel based regression: Influence and weight functions. | Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
| 2010 | IJCNN | Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. | Fabian Ojeda, Tillmann Falck, Bart De Moor, Johan A. K. Suykens |
| 2010 | ISNN | Hybrid Clustering of Multiple Information Sources via HOSVD. | Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor |
| 2009 | ICANN | Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. | Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens |
| 2009 | ICANN | Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. | Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor |
| 2009 | ICDM | Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. | Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glnzel |
| 2009 | PSB | Supervised Classification of Array CGH Data with HMM-Based Feature Selection. | Anneleen Daemen, Olivier Gevaert, Karin Leunen, Eric Legius, Ignace Vergote, Bart De Moor |
| 2009 | SDM | Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. | Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glnzel, Frizo A. L. Janssens |
| 2008 | ECCB | Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining. | Shi Yu, Steven Van Vooren, Lon-Charles Tranchevent, Bart De Moor, Yves Moreau |
| 2008 | KES | Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. | Anneleen Daemen, Olivier Gevaert, Karin Leunen, Vanessa Vanspauwen, Genevive Michils, Eric Legius, Ignace Vergote, Bart De Moor |
| 2008 | PSB | Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. | Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor, Karin Haustermans |
| 2008 | PSB | Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients. | O. Gaevert, Steven Van Vooren, Bart De Moor |
| 2008 | SAC | Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry. | Raf Van de Plas, Bart De Moor, Etienne Waelkens |
| 2007 | ESANN | Convex optimization for the design of learning machines. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2007 | ICASSP | State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition. | Joos Vandewalle, Johan A. K. Suykens, Bart De Moor, Amaury Lendasse |
| 2007 | IJCNN | Variable selection by rank-one updates for least squares support vector machines. | Fabian Ojeda, Johan A. K. Suykens, Bart De Moor |
| 2007 | KDD | Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis. | Frizo A. L. Janssens, Wolfgang Glnzel, Bart De Moor |
| 2007 | PSB | Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis. | Raf Van de Plas, Fabian Ojeda, Maarten Dewil, Ludo Van Den Bosch, Bart De Moor, Etienne Waelkens |
| 2006 | ICIP | Region-Based Statistical Background Modeling for Foreground Object Segmentation. | Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Mats Viberg, Bart De Moor |
| 2006 | ISMB | Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. | Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor |
| 2006 | ISNN | Interpreting Gene Profiles from Biomedical Literature Mining with Self Organizing Maps. | Shi Yu, Steven Van Vooren, Bert Coessens, Bart De Moor |
| 2005 | ICANN | Componentwise Support Vector Machines for Structure Detection. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2005 | IJCNN | Maximal variation and missing values for componentwise support vector machines. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor, Jos De Brabanter |
| 2005 | IWANN | Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. | Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor |
| 2005 | PSB | Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. | Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal |
| 2004 | ESANN | Sparse LS-SVMs using additive regularization with a penalized validation criterion. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2004 | ICONIP | A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. | Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
| 2004 | ICONIP | Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2004 | IJCNN | Primal space sparse kernel partial least squares regression for large scale problems. | Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
| 2004 | IJCNN | Regularization constants in LS-SVMs: a fast estimate via convex optimization. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2004 | SSPR | Learning from General Label Constraints. | Tijl De Bie, Johan A. K. Suykens, Bart De Moor |
| 2003 | ECCB | Computational detection of cis-regulatory modules. | Stein Aerts, Peter Van Loo, Gert Thijs, Yves Moreau, Bart De Moor |
| 2003 | ECCB | Biclustering microarray data by Gibbs sampling. | Qizheng Sheng, Yves Moreau, Bart De Moor |
| 2003 | ESANN | Kernel PLS variants for regression. | Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor |
| 2003 | IKE | The Role of User Profiles in Vector-Based Information Retrieval. | B. Vandermeulen, Joost R. Duflou, Bart De Moor |
| 2003 | PSB | Evaluation of the Vector Space Representation in Text-Based Gene Clustering. | Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor |
| 2002 | CBMS | Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. | Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau |
| 2002 | ICANN | Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. | Bart Hamers, Johan A. K. Suykens, Bart De Moor |
| 2001 | AIME | Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. | Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman |
| 2001 | CBMS | Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. | Peter Antal, Bart De Moor, Tams Mszros, Tadeusz P. Dobrowiecki |
| 2001 | ESANN | Automatic relevance determination for Least Squares Support Vector Machines classifiers. | Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle |
| 2001 | ICANN | Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. | Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle |
| 2001 | RECOMB | A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes. | Gert Thijs, Kathleen Marchal, Magali Lescot, Stephane Rombauts, Bart De Moor, Pierre Rouz, Yves Moreau |
| 2000 | CBMS | Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. | Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote |
| 2000 | ICASSP | SVD-based methodologies for fetal electrocardiogram extraction. | Lieven De Lathauwer, Bart De Moor, Joos Vandewalle |
| 2000 | KES | An empirical assessment of kernel type performance for least squares support vector machine classifiers. | Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen |
| 2000 | WCNC | An algebraic approach to the blind identification of paraunitary filters. | Lieven De Lathauwer, Bart De Moor, Joos Vandewalle |
| 1999 | ICASSP | Information measure based stochastic system identification of ATM network traffic. | Baibing Li, Bart De Moor |
| 1995 | ESANN | NLq theory: unifications in the theory of neural networks, systems and control. | Johan A. K. Suykens, Bart De Moor, Joos Vandewalle |
| 1988 | ICASSP | A geometrical approach for the identification of state space models with singular value decomposition. | Bart De Moor, Marc Moonen, Lieven Vandenberghe, Joos Vandewalle |