Yann Guermeur

29 papers A* 1B 1C 2Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2023 A* conf
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings.
AAAI
Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft
2022 J jnl
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings.
CoRR
Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft
2022 J jnl
ProtNAff: protein-bound Nucleic Acid filters and fragment libraries.
Bioinform.
Antoine Moniot, Yann Guermeur, Sjoerd Jacob de Vries, Isaure Chauvot de Beauchêne
2020 J jnl
Rademacher complexity of margin multi-category classifiers.
Neural Comput. Appl.
Yann Guermeur
2019 J jnl
Rademacher complexity and generalization performance of multi-category margin classifiers.
Neurocomputing
Khadija Musayeva, Fabien Lauer, Yann Guermeur
2018 B conf
A sharper bound on the Rademacher complexity of margin multi-category classifiers.
ESANN
Khadija Musayeva, Fabien Lauer, Yann Guermeur
2018 J jnl
Combinatorial and Structural Results for gamma-Psi-dimensions.
CoRR
Yann Guermeur
2017 J jnl
L
J. Comput. Syst. Sci.
Yann Guermeur
2017 — conf
Rademacher complexity of margin multi-category classifiers.
WSOM
Yann Guermeur
2014 J jnl
Model Selection for the ℓ2-SVM by Following the Regularization Path.
Trans. Comput. Collect. Intell.
Rémi Bonidal, Samy Tindel, Yann Guermeur
2012 J jnl
A generic model of multi-class support vector machine.
Int. J. Intell. Inf. Database Syst.
Yann Guermeur
2012 — conf
Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction.
PRIB
Fabienne Thomarat, Fabien Lauer, Yann Guermeur
2011 J jnl
A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies.
Informatica
Yann Guermeur, Emmanuel Monfrini
2011 — conf
Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction.
PRIB
Yann Guermeur, Fabienne Thomarat
2011 J jnl
MSVMpack: A Multi-Class Support Vector Machine Package.
J. Mach. Learn. Res.
Fabien Lauer, Yann Guermeur
2008 J jnl
A Quadratic Loss Multi-Class SVM
CoRR
Emmanuel Monfrini, Yann Guermeur
2008 J jnl
HECTAR: A method to predict subcellular targeting in heterokonts.
BMC Bioinform.
Bernhard Gschloessl, Yann Guermeur, J. Mark Cock
2007 — book
SVM Multiclasses, Théorie et Applications. (Multi-Class SVMs, Theory and Applications).
Yann Guermeur
2007 J jnl
Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q
CoRR
Yann Guermeur
2007 J jnl
VC Theory of Large Margin Multi-Category Classifiers.
J. Mach. Learn. Res.
Yann Guermeur
2006 J jnl
Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier.
BMC Bioinform.
Nicolas Sapay, Yann Guermeur, Gilbert Deléage
2004 J jnl
Combining protein secondary structure prediction models with ensemble methods of optimal complexity.
Neurocomputing
Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
2002 J jnl
Combining Discriminant Models with New Multi-Class SVMs.
Pattern Anal. Appl.
Yann Guermeur
2000 — conf
A New Multi-Class SVM Based on a Uniform Convergence Result.
IJCNN (4)
Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
2000 — conf
Generalization Performance of Multiclass Discriminant Models.
IJCNN (4)
Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
1999 J jnl
Improved performance in protein secondary structure prediction by inhomogeneous score combination.
Bioinform.
Yann Guermeur, Christophe Geourjon, Patrick Gallinari, Gilbert Deléage
1998 J jnl
Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods.
Int. J. Pattern Recognit. Artif. Intell.
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
1997 C conf
Optimal Linear Regression on Classifier Outputs.
ICANN
Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari
1996 C conf
Combining Statistical Models for Protein Secondary Structure Prediction.
ICANN
Yann Guermeur, Patrick Gallinari