2007 |
43 | EE | Patrick Letrémy,
Marie Cottrell,
Eric Esposito,
Valérie Laffite,
Sally Showk:
Consumer Profile Identification and Allocation.
IWANN 2007: 530-538 |
42 | EE | Marie Cottrell,
Smaïl Ibbou,
Patrick Letrémy:
Traitement Des Donnees Manquantes Au Moyen De L'Algorithme De Kohonen
CoRR abs/0704.1709: (2007) |
41 | EE | Geoffroy Simon,
Amaury Lendasse,
Marie Cottrell,
Jean-Claude Fort,
Michel Verleysen:
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
CoRR abs/cs/0701052: (2007) |
40 | EE | Eric de Bodt,
Marie Cottrell,
Patrick Letrémy,
Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization
CoRR abs/math/0701142: (2007) |
39 | EE | Eric de Bodt,
Marie Cottrell,
Michel Verleysen:
Statistical tools to assess the reliability of self-organizing maps
CoRR abs/math/0701144: (2007) |
38 | EE | Riadh Kallel,
Marie Cottrell,
Vincent Vigneron:
Bootstrap for neural model selection
CoRR abs/math/0701145: (2007) |
37 | EE | Marie Cottrell,
Patrick Letrémy:
Missing values : processing with the Kohonen algorithm
CoRR abs/math/0701152: (2007) |
36 | EE | Patrick Letrémy,
Marie Cottrell,
Eric Esposito,
Valérie Laffite,
Sally Showk:
Consumer Profile Identification and Allocation
CoRR abs/math/0702866: (2007) |
35 | EE | Geoffroy Simon,
John Aldo Lee,
Marie Cottrell,
Michel Verleysen:
Forecasting the CATS benchmark with the Double Vector Quantization method.
Neurocomputing 70(13-15): 2400-2409 (2007) |
2006 |
34 | EE | Thomas Villmann,
Barbara Hammer,
Frank-Michael Schleif,
Tina Geweniger,
Tom Fischer,
Marie Cottrell:
Prototype Based Classification Using Information Theoretic Learning.
ICONIP (2) 2006: 40-49 |
33 | EE | Marie Cottrell,
Michel Verleysen:
Advances in Self Organising Maps
CoRR abs/cs/0611058: (2006) |
32 | EE | Marie Cottrell,
Smaïl Ibbou,
Patrick Letrémy,
Patrick Rousset:
Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation
CoRR abs/math/0611422: (2006) |
31 | EE | Patrick Letrémy,
Marie Cottrell:
Working times in atypical forms of employment: the special case of part-time work
CoRR abs/math/0611433: (2006) |
30 | EE | Marie Cottrell,
Michel Verleysen:
Advances in Self-Organizing Maps.
Neural Networks 19(6-7): 721-722 (2006) |
29 | EE | Marie Cottrell,
Barbara Hammer,
Alexander Hasenfuss,
Thomas Villmann:
Batch and median neural gas.
Neural Networks 19(6-7): 762-771 (2006) |
2005 |
28 | EE | Marie Cottrell,
Barbara Hammer,
Thomas Villmann:
New Aspects in Neurocomputing.
Neurocomputing 63: 1-3 (2005) |
27 | EE | Marie Cottrell,
Patrick Letrémy:
How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey.
Neurocomputing 63: 193-207 (2005) |
26 | EE | Geoffroy Simon,
Amaury Lendasse,
Marie Cottrell,
Jean-Claude Fort,
Michel Verleysen:
Time series forecasting: Obtaining long term trends with self-organizing maps.
Pattern Recognition Letters 26(12): 1795-1808 (2005) |
2004 |
25 | EE | Marie Cottrell,
Smaïl Ibbou,
Patrick Letrémy:
SOM-based algorithms for qualitative variables.
Neural Networks 17(8-9): 1149-1167 (2004) |
24 | EE | Geoffroy Simon,
Amaury Lendasse,
Marie Cottrell,
Jean-Claude Fort,
Michel Verleysen:
Double quantization of the regressor space for long-term time series prediction: method and proof of stability.
Neural Networks 17(8-9): 1169-1181 (2004) |
23 | EE | Eric de Bodt,
Marie Cottrell,
Patrick Letrémy,
Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization.
Neurocomputing 56: 187-203 (2004) |
2003 |
22 | EE | Marie Cottrell,
Patrick Letrémy:
Analyzing surveys using the Kohonen algorithm.
ESANN 2003: 85-92 |
2002 |
21 | | Jean-Claude Fort,
Patrick Letrémy,
Marie Cottrell:
Advantages and drawbacks of the Batch Kohonen algorithm.
ESANN 2002: 223-230 |
20 | EE | Eric de Bodt,
Marie Cottrell,
Michel Verleysen:
Statistical tools to assess the reliability of self-organizing maps.
Neural Networks 15(8-9): 967-978 (2002) |
19 | EE | Riadh Kallel,
Marie Cottrell,
Vincent Vigneron:
Bootstrap for neural model selection.
Neurocomputing 48(1-4): 175-183 (2002) |
2001 |
18 | EE | Eric de Bodt,
Joseph Rynkiewicz,
Marie Cottrell:
Some known facts about financial data.
ESANN 2001: 223-236 |
17 | EE | Sophie Ponthieux,
Marie Cottrell:
Neural Classification and ``Traditional'' Data Analysis: An Application to Households' Living Conditions.
IWANN (2) 2001: 738-745 |
2000 |
16 | EE | Eric de Bodt,
Marie Cottrell:
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity.
ESANN 2000: 245-254 |
15 | EE | Riadh Kallel,
Marie Cottrell,
Vincent Vigneron:
Bootstrap for neural model selection.
ESANN 2000: 61-68 |
1999 |
14 | EE | Eric de Bodt,
Marie Cottrell,
Michel Verleysen:
Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm.
ESANN 1999: 19-26 |
13 | EE | Ana Isabel González,
Manuel Graña,
Marie Cottrell:
Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation.
Neural Computing and Applications 8(4): 347-367 (1999) |
1998 |
12 | EE | Amaury Lendasse,
Michel Verleysen,
Eric de Bodt,
Marie Cottrell,
Philippe Grégoire:
Forecasting time-series by Kohonen classification.
ESANN 1998: 221-226 |
11 | EE | Marie Cottrell,
Jean-Claude Fort,
Gilles Pagès:
Theoretical aspects of the SOM algorithm.
Neurocomputing 21(1-3): 119-138 (1998) |
1997 |
10 | | Eric de Bodt,
Michel Verleysen,
Marie Cottrell:
Kohonen maps versus vector quantization for data analysis.
ESANN 1997 |
9 | | Morgan Mangeas,
Marie Cottrell,
Jian-Feng Yao:
New criterion of identification in the multilayered perceptron modelling.
ESANN 1997 |
8 | | Ana Isabel González,
Manuel Graña,
Alicia D'Anjou,
F. Xabier Albizuri,
Marie Cottrell:
Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences.
ESANN 1997 |
7 | | Eric de Bodt,
Philippe Grégoire,
Marie Cottrell:
A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification.
ICANN 1997: 981-986 |
6 | | Marie Cottrell,
Bernard Girard,
Patrick Rousset:
Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision.
ICANN 1997: 993-998 |
5 | | Marie Cottrell,
Patrick Rousset:
The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data.
IWANN 1997: 861-871 |
4 | | Ana Isabel González,
Manuel Graña,
Alicia D'Anjou,
F. Xabier Albizuri,
Marie Cottrell:
A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences.
Neural Processing Letters 6(3): 77-89 (1997) |
1995 |
3 | | Marie Cottrell,
Bernard Girard,
Yvonne Girard,
Corinne Muller,
Patrick Rousset:
Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map.
IWANN 1995: 1107-1113 |
2 | EE | Manuel Graña,
Alicia D'Anjou,
Ana Isabel González,
F. Xabier Albizuri,
Marie Cottrell:
Competitive stochastic neural networks for Vector Quantization of images.
Neurocomputing 7(2): 187-195 (1995) |
1993 |
1 | | Marie Cottrell,
Patrick Letrémy,
Elisabeth Roy:
Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence Analysis.
IWANN 1993: 305-311 |