Adaptive quality-based clustering of gene expression profiles. - Frank De Smet; Janick Mathys; Kathleen Marchal; Gert Thijs; Bart De Moor; Yves Moreau (Bioinform., 2002)

INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling. - Gert Thijs; Yves Moreau; Frank De Smet; Janick Mathys; Magali Lescot; Stephane Rombauts; Pierre Rouzé; Bart De Moor; Kathleen Marchal (Bioinform., 2002)

Functional bioinformatics of microarray data: from expression to regulation. - Yves Moreau; Frank De Smet; Gert Thijs; Kathleen Marchal; Bart De Moor (Proc. IEEE, 2002)

INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis. - Bert Coessens; Gert Thijs; Stein Aerts; Kathleen Marchal; Frank De Smet; Kristof Engelen; Patrick Glenisson; Yves Moreau; Janick Mathys; Bart De Moor (Nucleic Acids Res., 2003)

Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. - Nathalie Pochet; Frank De Smet; Johan A. K. Suykens; Bart De Moor (Bioinform., 2004)

Advances in Cluster Analysis of Microarray Data. - Qizheng Sheng; Yves Moreau; Frank De Smet; Kathleen Marchal; Bart De Moor (Data Analysis and Visualization in Genomics and Proteomics, 2005)

M@CBETH: Optimizing Clinical Microarray Classification. - Nathalie Pochet; Frizo A. L. Janssens; Frank De Smet; Kathleen Marchal; Ignace Vergote; Johan A. K. Suykens; Bart De Moor (CSB Workshops, 2005)

M@CBETH: a microarray classification benchmarking tool. - Nathalie Pochet; Frizo A. L. Janssens; Frank De Smet; Kathleen Marchal; Johan A. K. Suykens; Bart De Moor (Bioinform., 2005)

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 (ISMB (Supplement of Bioinformatics), 2006)

Fast Prediction with SVM Models Containing RBF Kernels. - Marc Claesen; Frank De Smet; Johan A. K. Suykens; Bart De Moor (CoRR, 2014)

EnsembleSVM: a library for ensemble learning using support vector machines. - Marc Claesen; Frank De Smet; Johan A. K. Suykens; Bart De Moor (J. Mach. Learn. Res., 2014)

Assessing binary classifiers using only positive and unlabeled data. - Marc Claesen; Jesse Davis; Frank De Smet; Bart De Moor (CoRR, 2015)

Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data. - Marc Claesen; Frank De Smet; Pieter Gillard; Chantal Mathieu; Bart De Moor (CoRR, 2015)

A robust ensemble approach to learn from positive and unlabeled data using SVM base models. - Marc Claesen; Frank De Smet; Johan A. K. Suykens; Bart De Moor (Neurocomputing, 2015)

Explainable unsupervised anomaly detection for healthcare insurance data. - Hannes De Meulemeester; Frank De Smet; Johan van Dorst; Elise Derroitte; Bart De Moor (BMC Medical Informatics Decis. Mak., 2025)