Yann Guermeur

	2011
16		Yann Guermeur, Fabienne Thomarat: Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction. PRIB 2011: 260-271
15		Yann Guermeur, Emmanuel Monfrini: A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies. Informatica, Lith. Acad. Sci. 22(1): 73-96 (2011)
14		Fabien Lauer, Yann Guermeur: MSVMpack: A Multi-Class Support Vector Machine Package. Journal of Machine Learning Research 12: 2293-2296 (2011)
	2008
13		Bernhard Gschloessl, Yann Guermeur, J. Mark Cock: HECTAR: A method to predict subcellular targeting in heterokonts. BMC Bioinformatics 9: (2008)
12		Emmanuel Monfrini, Yann Guermeur: A Quadratic Loss Multi-Class SVM CoRR abs/0804.4898: (2008)
	2007
11		Yann Guermeur: Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q CoRR abs/0706.3679: (2007)
10		Yann Guermeur: VC Theory of Large Margin Multi-Category Classifiers. Journal of Machine Learning Research 8: 2551-2594 (2007)
	2006
9		Nicolas Sapay, Yann Guermeur, Gilbert Deléage: Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier. BMC Bioinformatics 7: 255 (2006)
	2004
8		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		Yann Guermeur: Combining Discriminant Models with New Multi-Class SVMs. Pattern Anal. Appl. 5(2): 168-179 (2002)
	2000
6		Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur: Generalization Performance of Multiclass Discriminant Models. IJCNN (4) 2000: 177-182
5		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

Coauthor Index

1	Pierre Baldi	[8]
2	Bernadette Bouchon-Meunier (Bernadette Bouchon)	[3]
3	Gilles Caraux	[3]
4	J. Mark Cock	[13]
5	Gilbert Deléage	[4] [9]
6	André Elisseeff	[5] [6] [8]
7	Patrick Gallinari	[1] [2] [3] [4]
8	Olivier Gascuel	[3]
9	Christophe Geourjon	[4]
10	Bernhard Gschloessl	[13]
11	Alain Guénoche (A. Guénoche)	[3]
12	Fabien Lauer	[14]
13	Yves Lechevallier	[3]
14	Christophe Marsala	[3]
15	Laurent Miclet	[3]
16	Emmanuel Monfrini	[12] [15]
17	Jacques Nicolas	[3]
18	Richard Nock	[3]
19	Hélène Paugam-Moisy	[5] [6] [8]
20	Gianluca Pollastri	[8]
21	Mohammed Ramdani	[3]
22	Nicolas Sapay	[9]
23	Michèle Sebag	[3]
24	Basavanneppa Tallur	[3]
25	Fabienne Thomarat	[16]
26	Gilles Venturini	[3]
27	Patrick Vitte	[3]
28	Dominique Zelus	[8]
29	Florence d'Alché-Buc	[2]

Colors in the list of coauthors

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