Yann Guermeur
Yann Guermeur
Researcher in Computer Science, CNRS
Verified email at loria.fr - Homepage
Title
Cited by
Cited by
Year
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
2451999
HECTAR: a method to predict subcellular targeting in heterokonts
B Gschloessl, Y Guermeur, JM Cock
BMC bioinformatics 9 (1), 1-13, 2008
1642008
Combining discriminant models with new multi-class SVMs
Y Guermeur
Pattern Analysis & Applications 5 (2), 168-179, 2002
1492002
Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
N Sapay, Y Guermeur, G Deléage
BMC bioinformatics 7 (1), 1-11, 2006
1302006
Combinaison de Classifieurs Statistiques: application a la Prediction de la Structure Secondaire des Proteines
Y Guermeur
Paris 6, 1997
1061997
MSVMpack: a multi-class support vector machine package
F Lauer, Y Guermeur
The Journal of Machine Learning Research 12, 2293-2296, 2011
1022011
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
862000
VC theory of large margin multi-category classifiers
Y Guermeur
The Journal of Machine Learning Research 8, 2551-2594, 2007
742007
SVM multiclasses, théorie et applications
Y Guermeur
Université Henri Poincaré-Nancy I, 2007
592007
A quadratic loss multi-class SVM for which a radius–margin bound applies
Y Guermeur, E Monfrini
Informatica 22 (1), 73-96, 2011
542011
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
502004
A generic model of multi-class support vector machine
Y Guermeur
International Journal of Intelligent Information and Database Systems 6 (6 …, 2012
372012
Théorie de l’apprentissage de Vapnik et SVM, Support Vector Machines
Y Guermeur, H Paugam-Moisy
Apprentissage automatique, 109-138, 1999
271999
A kernel for protein secondary structure prediction
Y Guermeur, A Lifchitz, R Vert
Kernel methods in computational biology, 193-206, 2004
242004
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
232012
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
202010
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
191999
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
161998
Lp-norm Sauer–Shelah lemma for margin multi-category classifiers
Y Guermeur
Journal of Computer and System Sciences 89, 450-473, 2017
152017
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
152005
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