| 2008 |
|---|
| 10 | EE | Emmanuel Monfrini,
Yann Guermeur:
A Quadratic Loss Multi-Class SVM
CoRR abs/0804.4898: (2008) |
| 2007 |
|---|
| 9 | EE | Yann Guermeur:
Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q
CoRR abs/0706.3679: (2007) |
| 2004 |
|---|
| 8 | EE | 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) |
| 2002 |
|---|
| 7 | EE | Yann Guermeur:
Combining Discriminant Models with New Multi-Class SVMs.
Pattern Anal. Appl. 5(2): 168-179 (2002) |
| 2000 |
|---|
| 6 | EE | Hélène Paugam-Moisy,
André Elisseeff,
Yann Guermeur:
Generalization Performance of Multiclass Discriminant Models.
IJCNN (4) 2000: 177-182 |
| 5 | EE | Yann Guermeur,
André Elisseeff,
Hélène Paugam-Moisy:
A New Multi-Class SVM Based on a Uniform Convergence Result.
IJCNN (4) 2000: 183-188 |
| 1999 |
|---|
| 4 | | 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) |
| 1998 |
|---|
| 3 | | 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) |
| 1997 |
|---|
| 2 | | Yann Guermeur,
Florence d'Alché-Buc,
Patrick Gallinari:
Optimal Linear Regression on Classifier Outputs.
ICANN 1997: 481-486 |
| 1996 |
|---|
| 1 | | Yann Guermeur,
Patrick Gallinari:
Combining Statistical Models for Protein Secondary Structure Prediction.
ICANN 1996: 599-604 |
