Michaël Aupetit

	2009
17		Michaël Aupetit: Nearly homogeneous multi-partitioning with a deterministic generator. Neurocomputing 72(7-9): 1379-1389 (2009)
	2008
16		Michaël Aupetit: Homogeneous bipartition based on multidimensional ranking. ESANN 2008: 259-264
15		Pierre Gaillard, Michaël Aupetit, Gérard Govaert: Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing 71(7-9): 1283-1299 (2008)
14		Michaël Aupetit, Pierre Gaillard: Mesurer et visualiser les distorsions dans les techniques de projection continues. Revue d'Intelligence Artificielle 22(3-4): 443-472 (2008)
	2007
13		Pierre Gaillard, Michaël Aupetit, Gérard Govaert: Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC 2007: 455-460
12		Pierre Gaillard, Michaël Aupetit, Gérard Govaert: Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN 2007: 235-240
11		Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit: Concerning the differentiability of the energy function in vector quantization algorithms. Neural Networks 20(5): 621-630 (2007)
10		Michaël Aupetit: Visualizing distortions and recovering topology in continuous projection techniques. Neurocomputing 70(7-9): 1304-1330 (2007)
	2006
9		Michaël Aupetit: Visualizing the trustworthiness of a projection. ESANN 2006: 271-276
8		Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit: Concerning the differentiability of the energy function in vector quantization algorithms CoRR abs/cs/0604046: (2006)
	2005
7		Michaël Aupetit: Learning Topology with the Generative Gaussian Graph and the EM Algorithm. NIPS 2005
6		Michaël Aupetit, Thibaud Catz: High-dimensional labeled data analysis with topology representing graphs. Neurocomputing 63: 139-169 (2005)
	2004
5		Michaël Aupetit: Visualizing distortions in continuous projection techniques. ESANN 2004: 465-470
	2003
4		Michaël Aupetit: High-dimensional labeled data analysis with Gabriel graphs. ESANN 2003: 21-26
3		Michaël Aupetit: Robust Topology Representing Networks. ESANN 2003: 45-50
	2002
2		Michaël Aupetit, Pierre Couturier, Pierre Massotte: gamma-Observable neighbours for vector quantization. Neural Networks 15(8-9): 1017-1027 (2002)
	2000
1		Michaël Aupetit, Pierre Couturier, Pierre Massotte: A 'Recruiting Neural-Gas' for Function Approximation. IJCNN (3) 2000: 91-96

Coauthor Index

1	Thibaud Catz	[6]
2	Pierre Couturier	[1] [2]
3	Pierre Gaillard	[12] [13] [14] [15]
4	Gérard Govaert	[12] [13] [15]
5	Dominique Lepetz	[8] [11]
6	Pierre Massotte	[1] [2]
7	Max Némoz-Gaillard	[8] [11]

Colors in the list of coauthors