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Publications of Author

1. Michaël Aupetit
   High-dimensional labeled data analysis with Gabriel graphs. [Citation Graph (0, 0)][DBLP]
   ESANN, 2003, pp:21-26 [Conf]
   
2. Michaël Aupetit
   Robust Topology Representing Networks. [Citation Graph (0, 0)][DBLP]
   ESANN, 2003, pp:45-50 [Conf]
   
3. Michaël Aupetit
   Visualizing distortions in continuous projection techniques. [Citation Graph (0, 0)][DBLP]
   ESANN, 2004, pp:465-470 [Conf]
   
4. Michaël Aupetit
   Visualizing the trustworthiness of a projection. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:271-276 [Conf]
   
5. Pierre Gaillard, Michaël Aupetit, Gérard Govaert
   Apprentissage statistique de la topologie d'un ensemble de données étiquetées. [Citation Graph (0, 0)][DBLP]
   EGC, 2007, pp:455-460 [Conf]
   
6. Michaël Aupetit, Pierre Couturier, Pierre Massotte
   A 'Recruiting Neural-Gas' for Function Approximation. [Citation Graph (0, 0)][DBLP]
   IJCNN (3), 2000, pp:91-96 [Conf]
   
7. Michaël Aupetit
   Learning Topology with the Generative Gaussian Graph and the EM Algorithm. [Citation Graph (0, 0)][DBLP]
   NIPS, 2005, pp:- [Conf]
   
8. Michaël Aupetit, Thibaud Catz
   High-dimensional labeled data analysis with topology representing graphs. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2005, v:63, n:, pp:139-169 [Journal]
   
9. Michaël Aupetit, Pierre Couturier, Pierre Massotte
   gamma-Observable neighbours for vector quantization. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2002, v:15, n:8-9, pp:1017-1027 [Journal]
   
10. Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit
    Concerning the differentiability of the energy function in vector quantization algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
    
11. Michaël Aupetit
    Visualizing distortions and recovering topology in continuous projection techniques. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1304-1330 [Journal]
    
12. Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit
    Concerning the differentiability of the energy function in vector quantization algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:5, pp:621-630 [Journal]
    
13. 
    Learning topology of a labeled data set with the supervised generative gaussian graph. [Citation Graph (, )][DBLP]
    
    
14. 
    Homogeneous bipartition based on multidimensional ranking. [Citation Graph (, )][DBLP]