| An introduction to variable and feature selection I Guyon, A Elisseeff Journal of machine learning research 3 (Mar), 1157-1182, 2003 | 21266 | 2003 |
| A training algorithm for optimal margin classifiers BE Boser, IM Guyon, VN Vapnik Proceedings of the fifth annual workshop on Computational learning theory …, 1992 | 17694 | 1992 |
| Gene selection for cancer classification using support vector machines I Guyon, J Weston, S Barnhill, V Vapnik Machine learning 46, 389-422, 2002 | 12004 | 2002 |
| Signature verification using a" siamese" time delay neural network J Bromley, I Guyon, Y LeCun, E Säckinger, R Shah Advances in neural information processing systems 6, 1993 | 5141 | 1993 |
| Feature extraction: foundations and applications I Guyon, S Gunn, M Nikravesh, LA Zadeh Springer, 2008 | 2977 | 2008 |
| Comparison of classifier methods: a case study in handwritten digit recognition L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, LD Jackel, Y LeCun, ... Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994 | 1078 | 1994 |
| Comparison of learning algorithms for handwritten digit recognition Y LeCun, L Jackel, L Bottou, A Brunot, C Cortes, J Denker, H Drucker, ... International conference on artificial neural networks 60 (1), 53-60, 1995 | 943 | 1995 |
| Result analysis of the nips 2003 feature selection challenge I Guyon, S Gunn, A Ben-Hur, G Dror Advances in neural information processing systems 17, 2004 | 860 | 2004 |
| Learning algorithms for classification: A comparison on handwritten digit recognition Y LeCun, LD Jackel, L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, ... Neural networks: the statistical mechanics perspective 261 (276), 2, 1995 | 849 | 1995 |
| An introduction to feature extraction I Guyon, A Elisseeff Feature extraction: foundations and applications, 1-25, 2006 | 848 | 2006 |
| A stability based method for discovering structure in clustered data A Ben-Hur, A Elisseeff, I Guyon Biocomputing 2002, 6-17, 2001 | 842 | 2001 |
| Handwritten digit recognition: Applications of neural net chips and automatic learning Y Le Cun, LD Jackel, B Boser, JS Denker, HP Graf, I Guyon, D Henderson, ... Neurocomputing: Algorithms, Architectures and Applications, 303-318, 1990 | 820 | 1990 |
| UNIPEN project of on-line data exchange and recognizer benchmarks I Guyon, L Schomaker, R Plamondon, M Liberman, S Janet Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994 | 598 | 1994 |
| Curran Associates I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Inc.: Red Hook, NY, USA 30, 3149-3157, 2017 | 556 | 2017 |
| Collective computational properties of neural networks: New learning mechanisms L Personnaz, I Guyon, G Dreyfus Physical Review A 34 (5), 4217, 1986 | 481 | 1986 |
| Information storage and retrieval in spin-glass like neural networks L Personnaz, I Guyon, G Dreyfus Journal de Physique Lettres 46 (8), 359-365, 1985 | 410 | 1985 |
| Automatic capacity tuning of very large VC-dimension classifiers I Guyon, B Boser, V Vapnik Advances in neural information processing systems 5, 1992 | 390 | 1992 |
| Discovering Informative Patterns and Data Cleaning. I Guyon, N Matic, V Vapnik Advances in knowledge discovery and data mining, 181-203, 1996 | 366 | 1996 |
| Clustering: Science or art? U Von Luxburg, RC Williamson, I Guyon Proceedings of ICML workshop on unsupervised and transfer learning, 65-79, 2012 | 345 | 2012 |
| Bayesian optimization is superior to random search for machine learning hyperparameter tuning: Analysis of the black-box optimization challenge 2020 R Turner, D Eriksson, M McCourt, J Kiili, E Laaksonen, Z Xu, I Guyon NeurIPS 2020 Competition and Demonstration Track, 3-26, 2021 | 341 | 2021 |
