An introduction to variable and feature selection I Guyon, A Elisseeff Journal of machine learning research 3 (Mar), 1157-1182, 2003 | 21942 | 2003 |
Stability and generalization O Bousquet, A Elisseeff The Journal of Machine Learning Research 2, 499-526, 2002 | 2169 | 2002 |
A kernel method for multi-labelled classification A Elisseeff, J Weston Advances in neural information processing systems 14, 2001 | 2060 | 2001 |
On kernel-target alignment N Cristianini, J Shawe-Taylor, A Elisseeff, J Kandola Advances in neural information processing systems 14, 2001 | 1443 | 2001 |
Use of the zero norm with linear models and kernel methods J Weston, A Elisseeff, B Schölkopf, M Tipping The Journal of Machine Learning Research 3, 1439-1461, 2003 | 1070 | 2003 |
A stability based method for discovering structure in clustered data A Ben-Hur, A Elisseeff, I Guyon Biocomputing 2002, 6-17, 2001 | 845 | 2001 |
Embedded methods TN Lal, O Chapelle, J Weston, A Elisseeff Feature extraction: Foundations and applications, 137-165, 2006 | 460 | 2006 |
Semi-supervised protein classification using cluster kernels J Weston, D Zhou, A Elisseeff, W Noble, C Leslie Advances in neural information processing systems 16, 2003 | 322 | 2003 |
Using markov blankets for causal structure learning. JP Pellet, A Elisseeff Journal of Machine Learning Research 9 (7), 2008 | 298 | 2008 |
Subagging for credit scoring models G Paleologo, A Elisseeff, G Antonini European journal of operational research 201 (2), 490-499, 2010 | 263 | 2010 |
Leave-one-out error and stability of learning algorithms with applications A Elisseeff, M Pontil NATO science series sub series iii computer and systems sciences 190, 111-130, 2003 | 254 | 2003 |
Methods for feature selection in a learning machine JAE Weston, A Elisseeff, B Schoelkopf, F Pérez-Cruz US Patent 7,318,051, 2008 | 233 | 2008 |
Kernel dependency estimation J Weston, O Chapelle, V Vapnik, A Elisseeff, B Schölkopf Advances in neural information processing systems 15, 2002 | 232 | 2002 |
Stability of Randomized Learning Algorithms. A Elisseeff, T Evgeniou, M Pontil, LP Kaelbing Journal of Machine Learning Research 6 (1), 2005 | 221 | 2005 |
Causal feature selection I Guyon, C Aliferis Computational methods of feature selection, 79-102, 2007 | 195 | 2007 |
Leave one out error, stability, and generalization of voting combinations of classifiers T Evgeniou, M Pontil, A Elisseeff Machine learning 55, 71-97, 2004 | 170 | 2004 |
Algorithmic stability and generalization performance O Bousquet, A Elisseeff Advances in neural information processing systems 13, 2000 | 170 | 2000 |
Protein ranking: from local to global structure in the protein similarity network J Weston, A Elisseeff, D Zhou, CS Leslie, WS Noble Proceedings of the National Academy of Sciences 101 (17), 6559-6563, 2004 | 168 | 2004 |
Feature selection and transduction for prediction of molecular bioactivity for drug design J Weston, F Perez-Cruz, O Bousquet, O Chapelle, A Elisseeff, B Schölkopf Bioinformatics 19 (6), 764-771, 2003 | 125 | 2003 |
Design and analysis of the causation and prediction challenge I Guyon, C Aliferis, G Cooper, A Elisseeff, JP Pellet, P Spirtes, A Statnikov Causation and Prediction Challenge, 1-33, 2008 | 111 | 2008 |