Yann Guermeur

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 9

Top Topics

Rademacher Complexity

Matrix Completion

Linear Classifiers

Top Venues

J. Comput. Syst. Sci.

Publications

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. AAAI (2023)
Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings. CoRR (2022)
Antoine Moniot, Yann Guermeur, Sjoerd Jacob de Vries, Isaure Chauvot de Beauchêne
ProtNAff: protein-bound Nucleic Acid filters and fragment libraries. Bioinform. 38 (16) (2022)
Yann Guermeur
Rademacher complexity of margin multi-category classifiers. Neural Comput. Appl. 32 (24) (2020)
Khadija Musayeva, Fabien Lauer, Yann Guermeur
Rademacher complexity and generalization performance of multi-category margin classifiers. Neurocomputing 342 (2019)
Khadija Musayeva, Fabien Lauer, Yann Guermeur
A sharper bound on the Rademacher complexity of margin multi-category classifiers. ESANN (2018)
Yann Guermeur
Combinatorial and Structural Results for gamma-Psi-dimensions. CoRR (2018)
Yann Guermeur
Rademacher complexity of margin multi-category classifiers. WSOM (2017)
Yann Guermeur
-norm Sauer-Shelah lemma for margin multi-category classifiers. J. Comput. Syst. Sci. 89 (2017)
Rémi Bonidal, Samy Tindel, Yann Guermeur
Model Selection for the ℓ2-SVM by Following the Regularization Path. Trans. Comput. Collect. Intell. 13 (2014)
Fabienne Thomarat, Fabien Lauer, Yann Guermeur
Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. PRIB (2012)
Yann Guermeur
A generic model of multi-class support vector machine. Int. J. Intell. Inf. Database Syst. 6 (6) (2012)
Yann Guermeur, Emmanuel Monfrini
A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies. Informatica 22 (1) (2011)
Fabien Lauer, Yann Guermeur
MSVMpack: A Multi-Class Support Vector Machine Package. J. Mach. Learn. Res. 12 (2011)
Yann Guermeur, Fabienne Thomarat
Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction. PRIB (2011)
Emmanuel Monfrini, Yann Guermeur
A Quadratic Loss Multi-Class SVM CoRR (2008)
Bernhard Gschloessl, Yann Guermeur, J. Mark Cock
HECTAR: A method to predict subcellular targeting in heterokonts. BMC Bioinform. 9 (2008)
Yann Guermeur
VC Theory of Large Margin Multi-Category Classifiers. J. Mach. Learn. Res. 8 (2007)
Yann Guermeur
Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q CoRR (2007)
Nicolas Sapay, Yann Guermeur, Gilbert Deléage
Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier. BMC Bioinform. 7 (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 (2004)
Yann Guermeur
Combining Discriminant Models with New Multi-Class SVMs. Pattern Anal. Appl. 5 (2) (2002)
Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
Generalization Performance of Multiclass Discriminant Models. IJCNN (4) (2000)
Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
A New Multi-Class SVM Based on a Uniform Convergence Result. IJCNN (4) (2000)
Yann Guermeur, Christophe Geourjon, Patrick Gallinari, Gilbert Deléage
Improved performance in protein secondary structure prediction by inhomogeneous score combination. Bioinform. 15 (5) (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. Int. J. Pattern Recognit. Artif. Intell. 12 (4) (1998)
Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari
Optimal Linear Regression on Classifier Outputs. ICANN (1997)
Yann Guermeur, Patrick Gallinari
Combining Statistical Models for Protein Secondary Structure Prediction. ICANN (1996)