Yann Guermeur

According to our database, Yann Guermeur authored at least 27 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings.

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ProtNAff: protein-bound Nucleic Acid filters and fragment libraries.

Antoine Moniot, Yann Guermeur, Sjoerd Jacob de Vries, Isaure Chauvot de Beauchêne

Bioinform., 2022

2020

Rademacher complexity of margin multi-category classifiers.

Yann Guermeur

Neural Comput. Appl., 2020

2019

Rademacher complexity and generalization performance of multi-category margin classifiers.

Khadija Musayeva, Fabien Lauer, Yann Guermeur

Neurocomputing, 2019

2018

Combinatorial and Structural Results for gamma-Psi-dimensions.

Yann Guermeur

CoRR, 2018

A sharper bound on the Rademacher complexity of margin multi-category classifiers.

Khadija Musayeva, Fabien Lauer, Yann Guermeur

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

L_p-norm Sauer-Shelah lemma for margin multi-category classifiers.

Yann Guermeur

J. Comput. Syst. Sci., 2017

2014

Model Selection for the ℓ2-SVM by Following the Regularization Path.

Rémi Bonidal, Samy Tindel, Yann Guermeur

Trans. Comput. Collect. Intell., 2014

2012

A generic model of multi-class support vector machine.

Yann Guermeur

Int. J. Intell. Inf. Database Syst., 2012

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction.

Fabienne Thomarat, Fabien Lauer, Yann Guermeur

Proceedings of the Pattern Recognition in Bioinformatics, 2012

2011

MSVMpack: A Multi-Class Support Vector Machine Package.

Fabien Lauer, Yann Guermeur

J. Mach. Learn. Res., 2011

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies.

Yann Guermeur, Emmanuel Monfrini

Informatica, 2011

Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction.

Yann Guermeur, Fabienne Thomarat

Proceedings of the Pattern Recognition in Bioinformatics, 2011

2008

A Quadratic Loss Multi-Class SVM

Emmanuel Monfrini, Yann Guermeur

CoRR, 2008

HECTAR: A method to predict subcellular targeting in heterokonts.

Bernhard Gschloessl, Yann Guermeur, J. Mark Cock

BMC Bioinform., 2008

2007

VC Theory of Large Margin Multi-Category Classifiers.

Yann Guermeur

J. Mach. Learn. Res., 2007

Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q

Yann Guermeur

CoRR, 2007

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

Yann Guermeur

, 2007

2006

Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier.

Nicolas Sapay, Yann Guermeur, Gilbert Deléage

BMC Bioinform., 2006

2004

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

2002

Combining Discriminant Models with New Multi-Class SVMs.

Yann Guermeur

Pattern Anal. Appl., 2002

2000

Generalization Performance of Multiclass Discriminant Models.

Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A New Multi-Class SVM Based on a Uniform Convergence Result.

Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Improved performance in protein secondary structure prediction by inhomogeneous score combination.

Yann Guermeur, Christophe Geourjon, Patrick Gallinari, Gilbert Deléage

Bioinform., 1999

1998

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, Michèle Sebag, Basavanneppa Tallur, Gilles Venturini, Patrick Vitte

Int. J. Pattern Recognit. Artif. Intell., 1998

1997

Optimal Linear Regression on Classifier Outputs.

Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari

Proceedings of the Artificial Neural Networks, 1997

1996

Combining Statistical Models for Protein Secondary Structure Prediction.

Yann Guermeur, Patrick Gallinari

Proceedings of the Artificial Neural Networks, 1996