Michaël Aupetit

	2012
23		Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit: A new supervised non-linear mapping CoRR abs/1203.2021: (2012)
	2011
22		Sylvain Lespinats, Michaël Aupetit: CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings. Comput. Graph. Forum 30(1): 113-125 (2011)
	2010
21		Sylvain Lespinats, Michaël Aupetit: Mapping without visualizing local default is nonsense. ESANN 2010
20		Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee: Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN 2010
19		Pierre Gaillard, Michaël Aupetit, Gérard Govaert: Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d'Information 15(2): 97-119 (2010)
	2009
18		Michaël Aupetit: Nearly homogeneous multi-partitioning with a deterministic generator. Neurocomputing 72(7-9): 1379-1389 (2009)
	2008
17		Michaël Aupetit: Homogeneous bipartition based on multidimensional ranking. ESANN 2008: 259-264
16		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)
15		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
14		Pierre Gaillard, Michaël Aupetit, Gérard Govaert: Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC 2007: 455-460
13		Pierre Gaillard, Michaël Aupetit, Gérard Govaert: Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN 2007: 235-240
12		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)
11		Michaël Aupetit: Visualizing distortions and recovering topology in continuous projection techniques. Neurocomputing 70(7-9): 1304-1330 (2007)
	2006
10		Michaël Aupetit: Visualizing the trustworthiness of a projection. ESANN 2006: 271-276
9		Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit: Concerning the differentiability of the energy function in vector quantization algorithms CoRR abs/cs/0604046: (2006)
8		David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller: How to help seismic analysts to verify the French seismic bulletin? Eng. Appl. of AI 19(7): 797-806 (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	[8] [13] [14] [15] [16] [19]
4	Gérard Govaert	[13] [14] [16] [19]
5	John Aldo Lee	[20]
6	Dominique Lepetz	[9] [12]
7	Sylvain Lespinats	[21] [22] [23]
8	Carole Maillard	[8]
9	Pierre Massotte	[1] [2]
10	David Mercier	[8]
11	Anke Meyer-Bäse	[23]
12	Jean-Denis Muller	[8]
13	Max Némoz-Gaillard	[9] [12]
14	Robert Quach	[8]
15	Michel Verleysen	[20]
16	Axel Wismüller	[20]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page