Variable selection by rank-one updates for least squares support vector machines. - Fabian Ojeda; Johan A. K. Suykens; Bart De Moor (IJCNN, 2007)

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 (Pacific Symposium on Biocomputing, 2007)

Low rank updated LS-SVM classifiers for fast variable selection. - Fabian Ojeda; Johan A. K. Suykens; Bart De Moor (Neural Networks, 2008)

Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. - Fabian Ojeda; Tillmann Falck; Bart De Moor; Johan A. K. Suykens (IJCNN, 2010)

Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging. - Fabian Ojeda; Marco Signoretto; Raf Van de Plas; Etienne Waelkens; Bart De Moor; Johan A. K. Suykens (PRIB, 2010)

Candidate gene prioritization by network analysis of differential expression using machine learning approaches. - Daniela Nitsch; Joana P. Gonçalves; Fabian Ojeda; Bart De Moor; Yves Moreau (BMC Bioinform., 2010)

Predicting Receptor-Ligand Pairs through Kernel Learning. - Ernesto Iacucci; Fabian Ojeda; Bart De Moor; Yves Moreau (BMC Bioinform., 2011)