| Improved performance in protein secondary structure prediction by inhomogeneous score combination. Y Guermeur, C Geourjon, P Gallinari, G Delé age Bioinformatics (Oxford, England) 15 (5), 413-421, 1999 | 287 | 1999 |
| HECTAR: a method to predict subcellular targeting in heterokonts B Gschloessl, Y Guermeur, JM Cock BMC bioinformatics 9, 1-13, 2008 | 240 | 2008 |
| Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier N Sapay, Y Guermeur, G Deléage BMC bioinformatics 7, 1-11, 2006 | 171 | 2006 |
| Combining discriminant models with new multi-class SVMs Y Guermeur Pattern Analysis & Applications 5, 168-179, 2002 | 154 | 2002 |
| Combinaison de classifieurs statistiques: application à la prédiction de la structure secondaire des protéines Y Guermeur Paris 6, 1997 | 122 | 1997 |
| MSVMpack: a multi-class support vector machine package F Lauer, Y Guermeur Journal of Machine Learning Research 12, 2269-2272, 2011 | 114 | 2011 |
| A new multi-class SVM based on a uniform convergence result Y Guermeur, A Elisseeff, H Paugam-Moisy Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 91 | 2000 |
| VC theory of large margin multi-category classifiers Y Guermeur The Journal of Machine Learning Research 8, 2551-2594, 2007 | 78 | 2007 |
| A quadratic loss multi-class SVM for which a radius–margin bound applies Y Guermeur, E Monfrini Informatica 22 (1), 73-96, 2011 | 67 | 2011 |
| SVM multiclasses, théorie et applications Y Guermeur Université Henri Poincaré-Nancy I, 2007 | 66 | 2007 |
| Combining protein secondary structure prediction models with ensemble methods of optimal complexity Y Guermeur, G Pollastri, A Elisseeff, D Zelus, H Paugam-Moisy, P Baldi Neurocomputing 56, 305-327, 2004 | 57 | 2004 |
| A generic model of multi-class support vector machine Y Guermeur International Journal of Intelligent Information and Database Systems 6 (6 …, 2012 | 40 | 2012 |
| Hybrid feature selection and SVM-based classification for mouse skin precancerous stages diagnosis from bimodal spectroscopy F Abdat, M Amouroux, Y Guermeur, W Blondel Optics Express 20 (1), 228-244, 2012 | 29 | 2012 |
| Théorie de l’apprentissage de Vapnik et SVM, Support Vector Machines Y Guermeur, H Paugam-Moisy Apprentissage automatique, 109-138, 1999 | 27 | 1999 |
| A kernel for protein secondary structure prediction Y Guermeur, A Lifchitz, R Vert Kernel methods in computational biology, 193-206, 2004 | 26 | 2004 |
| Lp-norm Sauer–Shelah lemma for margin multi-category classifiers Y Guermeur Journal of Computer and System Sciences 89, 450-473, 2017 | 23 | 2017 |
| Sample Complexity of Classifiers Taking Values in ℝ Q , Application to Multi-Class SVMs Y Guermeur Communications in Statistics—Theory and Methods 39 (3), 543-557, 2010 | 21 | 2010 |
| Estimating the sample complexity of a multi-class discriminant model Y Guermeur, A Elisseeff, H Paugam-Moisy 1999 Ninth International Conference on Artificial Neural Networks ICANN 99 …, 1999 | 19 | 1999 |
| A comparative study of multi‐class support vector machines in the unifying framework of large margin classifiers Y Guermeur, A Elisseeff, D Zelus Applied stochastic models in business and industry 21 (2), 199-214, 2005 | 18 | 2005 |
| Twelve numerical, symbolic and hybrid supervised classification methods O Gascuel, B Bouchon-Meunier, G Caraux, P Gallinari, A Guénoche, ... International journal of pattern recognition and artificial intelligence 12 …, 1998 | 17 | 1998 |
