| The curse of dimensionality in data mining and time series prediction M Verleysen, D François International work-conference on artificial neural networks, 758-770, 2005 | 1060 | 2005 |
| The concentration of fractional distances D François, V Wertz, M Verleysen IEEE Transactions on Knowledge and Data Engineering 19 (7), 873-886, 2007 | 385 | 2007 |
| Mutual information for the selection of relevant variables in spectrometric nonlinear modelling F Rossi, A Lendasse, D François, V Wertz, M Verleysen Chemometrics and intelligent laboratory systems 80 (2), 215-226, 2006 | 275 | 2006 |
| Weighted conditional random fields for supervised interpatient heartbeat classification G De Lannoy, D François, J Delbeke, M Verleysen IEEE Transactions on Biomedical Engineering 59 (1), 241-247, 2011 | 248 | 2011 |
| Resampling methods for parameter-free and robust feature selection with mutual information D François, F Rossi, V Wertz, M Verleysen Neurocomputing 70 (7-9), 1276-1288, 2007 | 169 | 2007 |
| On the effects of dimensionality on data analysis with neural networks M Verleysen, D Francois, G Simon, V Wertz International Work-Conference on Artificial Neural Networks, 105-112, 2003 | 94 | 2003 |
| Weighted SVMs and feature relevance assessment in supervised heart beat classification G De Lannoy, D François, J Delbeke, M Verleysen Biomedical Engineering Systems and Technologies: Third International Joint …, 2011 | 88 | 2011 |
| High-dimensional data analysis D François | 84 | 2007 |
| Feature clustering and mutual information for the selection of variables in spectral data. C Krier, D François, F Rossi, M Verleysen ESANN, 157-162, 2007 | 82 | 2007 |
| Fault prediction in aircraft engines using self-organizing maps M Cottrell, P Gaubert, C Eloy, D François, G Hallaux, J Lacaille, ... Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St …, 2009 | 63 | 2009 |
| Spectrophotometric variable selection by mutual information N Benoudjit, D François, M Meurens, M Verleysen Chemometrics and Intelligent Laboratory Systems 74 (2), 243-251, 2004 | 57 | 2004 |
| Fast selection of spectral variables with b-spline compression F Rossi, D François, V Wertz, M Meurens, M Verleysen Chemometrics and Intelligent Laboratory Systems 86 (2), 208-218, 2007 | 55 | 2007 |
| Feature selection for interpatient supervised heart beat classification G Doquire, G De Lannoy, D François, M Verleysen Computational intelligence and neuroscience 2011 (1), 643816, 2011 | 52 | 2011 |
| Advances in feature selection with mutual information M Verleysen, F Rossi, D François Similarity-based clustering: recent developments and biomedical applications …, 2009 | 51 | 2009 |
| The permutation test for feature selection by mutual information. D François, V Wertz, M Verleysen ESANN, 239-244, 2006 | 51 | 2006 |
| Non-Euclidean metrics for similarity search in noisy datasets. D François, V Wertz, M Verleysen ESANN 2005, 339-344, 2005 | 50 | 2005 |
| About the locality of kernels in high-dimensional spaces D Francois, V Wertz, M Verleysen International Symposium on Applied Stochastic Models and Data Analysis, 238-245, 2005 | 44 | 2005 |
| A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis C Krier, F Rossi, D François, M Verleysen Chemometrics and Intelligent Laboratory Systems 91 (1), 43-53, 2008 | 39 | 2008 |
| Vector quantization: a weighted version for time-series forecasting A Lendasse, D François, V Wertz, M Verleysen Future Generation Computer Systems 21 (7), 1056-1067, 2005 | 33 | 2005 |
| Feature scoring by mutual information for classification of mass spectra C Krier, D François, V Wertz, M Verleysen Applied artificial intelligence, 557-564, 2006 | 25 | 2006 |