Combining Statistical Models for Protein Secondary Structure Prediction. - Yann Guermeur; Patrick Gallinari (ICANN, 1996)

Optimal Linear Regression on Classifier Outputs. - Yann Guermeur; Florence d'Alché-Buc; Patrick Gallinari (ICANN, 1997)

Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. - 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 003; et al. (Int. J. Pattern Recognit. Artif. Intell., 1998)

Improved performance in protein secondary structure prediction by inhomogeneous score combination. - Yann Guermeur; Christophe Geourjon; Patrick Gallinari; Gilbert Deléage (Bioinform., 1999)

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

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

Combining Discriminant Models with New Multi-Class SVMs. - Yann Guermeur (Pattern Anal. Appl., 2002)

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

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

SVM Multiclasses, Théorie et Applications. (Multi-Class SVMs, Theory and Applications). - Yann Guermeur (2007)

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

VC Theory of Large Margin Multi-Category Classifiers. - Yann Guermeur (J. Mach. Learn. Res., 2007)

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

A Quadratic Loss Multi-Class SVM - Emmanuel Monfrini; Yann Guermeur (CoRR, 2008)

Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction. - Yann Guermeur; Fabienne Thomarat (PRIB, 2011)

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies. - Yann Guermeur; Emmanuel Monfrini (Informatica, 2011)

MSVMpack: A Multi-Class Support Vector Machine Package. - Fabien Lauer; Yann Guermeur (J. Mach. Learn. Res., 2011)

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. - Fabienne Thomarat; Fabien Lauer; Yann Guermeur (PRIB, 2012)

A generic model of multi-class support vector machine. - Yann Guermeur (Int. J. Intell. Inf. Database Syst., 2012)

Model Selection for the ℓ2-SVM by Following the Regularization Path. - Rémi Bonidal; Samy Tindel; Yann Guermeur (Trans. Comput. Collect. Intell., 2014)

Lp-norm Sauer-Shelah lemma for margin multi-category classifiers. - Yann Guermeur (J. Comput. Syst. Sci., 2017)

A sharper bound on the Rademacher complexity of margin multi-category classifiers. - Khadija Musayeva; Fabien Lauer; Yann Guermeur (ESANN, 2018)

Combinatorial and Structural Results for gamma-Psi-dimensions. - Yann Guermeur (CoRR, 2018)

Rademacher complexity and generalization performance of multi-category margin classifiers. - Khadija Musayeva; Fabien Lauer; Yann Guermeur (Neurocomputing, 2019)

Rademacher complexity of margin multi-category classifiers. - Yann Guermeur (Neural Comput. Appl., 2020)

ProtNAff: protein-bound Nucleic Acid filters and fragment libraries. - Antoine Moniot; Yann Guermeur; Sjoerd Jacob de Vries; Isaure Chauvot de Beauchêne (Bioinform., 2022)

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. - Antoine Ledent; Rodrigo Alves; Yunwen Lei; Yann Guermeur; Marius Kloft (AAAI, 2023)