Yann Guermeur

Yann Guermeur: A generic model of multi-class support vector machine. IJIIDS 6(6): 555-577 (2012)

Fabienne Thomarat, Fabien Lauer, Yann Guermeur: Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. PRIB 2012: 166-177

Yann Guermeur, Emmanuel Monfrini: A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies. Informatica, Lith. Acad. Sci. 22(1): 73-96 (2011)

Fabien Lauer, Yann Guermeur: MSVMpack: A Multi-Class Support Vector Machine Package. Journal of Machine Learning Research 12: 2293-2296 (2011)

Yann Guermeur, Fabienne Thomarat: Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction. PRIB 2011: 260-271

Bernhard Gschloessl, Yann Guermeur, J. Mark Cock: HECTAR: A method to predict subcellular targeting in heterokonts. BMC Bioinformatics 9 (2008)

Emmanuel Monfrini, Yann Guermeur: A Quadratic Loss Multi-Class SVM. CoRR abs/0804.4898 (2008)

Yann Guermeur: VC Theory of Large Margin Multi-Category Classifiers. Journal of Machine Learning Research 8: 2551-2594 (2007)

Yann Guermeur: Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q. CoRR abs/0706.3679 (2007)

Nicolas Sapay, Yann Guermeur, Gilbert Deléage: Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier. BMC Bioinformatics 7: 255 (2006)

Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi: Combining protein secondary structure prediction models with ensemble methods of optimal complexity. Neurocomputing 56: 305-327 (2004)

Yann Guermeur: Combining Discriminant Models with New Multi-Class SVMs. Pattern Anal. Appl. 5(2): 168-179 (2002)

Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur: Generalization Performance of Multiclass Discriminant Models. IJCNN (4) 2000: 177-182

Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy: A New Multi-Class SVM Based on a Uniform Convergence Result. IJCNN (4) 2000: 183-188

Yann Guermeur, Christophe Geourjon, Patrick Gallinari, Gilbert Deléage: Improved performance in protein secondary structure prediction by inhomogeneous score combination. Bioinformatics 15(5): 413-421 (1999)

Olivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche, Yann Guermeur, Yves Lechevallier, Christophe Marsala, Laurent Miclet, Jacques Nicolas, Richard Nock, Mohammed Ramdani, Michèle Sebag, Basavanneppa Tallur, Gilles Venturini, Patrick Vitte: Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. IJPRAI 12(4): 517-571 (1998)

Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari: Optimal Linear Regression on Classifier Outputs. ICANN 1997: 481-486

Yann Guermeur, Patrick Gallinari: Combining Statistical Models for Protein Secondary Structure Prediction. ICANN 1996: 599-604