Marie Cottrell

Publication Activity (10 Years)

Years Active: 1993-2020
Publications (10 Years): 14

Top Topics

Diagnostic Knowledge

Confidence Intervals

Top Venues

Neural Comput. Appl.

Publications

Madalina Olteanu, Aurélien Hazan, Marie Cottrell, Julien Randon-Furling
Multidimensional urban segregation: toward a neural network measure. Neural Comput. Appl. 32 (24) (2020)
Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy
Editorial. Neural Comput. Appl. 32 (24) (2020)
Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
Anomaly Detection for Bivariate Signals. IWANN (1) (2019)
Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ (2019)
Marie Cottrell, Madalina Olteanu, Julien Randon-Furling, Aurélien Hazan
Multidimensional urban segregation: An exploratory case study. WSOM (2017)
Julien Alerini, Marie Cottrell, Madalina Olteanu
Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros. IWANN (2) (2017)
Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix
Theoretical and Applied Aspects of the Self-Organizing Maps. WSOM (2016)
Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle, Stéphane Lamassé, Patrick Letrémy
How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining. CoRR (2015)
Etienne Côme, Marie Cottrell, Patrice Gaubert
Analysis of professional trajectories using disconnected self-organizing maps. Neurocomputing 147 (2015)
Nicolas Bourgeois, Marie Cottrell, Stéphane Lamassé, Madalina Olteanu
Search for Meaning Through the Study of Co-occurrences in Texts. IWANN (2) (2015)
Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle, Stéphane Lamassé, Patrick Letrémy
How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining. Neurocomputing 147 (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. ESANN (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. CoRR (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. CoRR (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Trans. Mach. Learn. Data Min. 7 (2) (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. CoRR (2014)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Anomaly Detection Based on Indicator Aggregation. CoRR (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Anomaly detection based on indicators aggregation. IJCNN (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Anomaly Detection Based on Indicators Aggregation. CoRR (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. ICDM (2014)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. 7 (3) (2013)
Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
Neural Networks for Complex Data CoRR (2012)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Robust clustering of high-dimensional data. ESANN (2012)
Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
On-Line Relational SOM for Dissimilarity Data. WSOM (2012)
Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
Neural Networks for Complex Data. Künstliche Intell. 26 (4) (2012)
Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
On-line relational SOM for dissimilarity data CoRR (2012)
Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle, Stéphane Lamassé, Patrick Letrémy
Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages. WSOM (2012)
Etienne Côme, Marie Cottrell, Patrice Gaubert
Professional Trajectories of Workers Using Disconnected Self-Organizing Maps. WSOM (2012)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM (2011)
Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille
Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM (2010)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM (2010)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Self Organizing Star (SOS) for health monitoring. ESANN (2010)
Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen
Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM (2009)
Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell
Fuzzy classification using information theoretic learning vector quantization. Neurocomputing 71 (16-18) (2008)
Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
On the use of self-organizing maps to accelerate vector quantization CoRR (2007)
Marie Cottrell, Smaïl Ibbou, Patrick Letrémy
Traitement Des Donnees Manquantes Au Moyen De L'Algorithme De Kohonen CoRR (2007)
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen
Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing 70 (13-15) (2007)
Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps CoRR (2007)
Eric de Bodt, Marie Cottrell, Michel Verleysen
Statistical tools to assess the reliability of self-organizing maps CoRR (2007)
Patrick Letrémy, Marie Cottrell, Eric Esposito, Valérie Laffite, Sally Showk
Consumer Profile Identification and Allocation. IWANN (2007)
Patrick Letrémy, Marie Cottrell, Eric Esposito, Valérie Laffite, Sally Showk
Consumer Profile Identification and Allocation CoRR (2007)
Riadh Kallel, Marie Cottrell, Vincent Vigneron
Bootstrap for neural model selection CoRR (2007)
Marie Cottrell, Patrick Letrémy
Missing values : processing with the Kohonen algorithm CoRR (2007)
Marie Cottrell, Michel Verleysen
Advances in Self Organising Maps CoRR (2006)
Marie Cottrell, Smaïl Ibbou, Patrick Letrémy, Patrick Rousset
Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation CoRR (2006)
Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
Batch and median neural gas. Neural Networks 19 (6-7) (2006)
Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell
Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) (2006)
Marie Cottrell, Michel Verleysen
Advances in Self-Organizing Maps. Neural Networks 19 (6-7) (2006)
Patrick Letrémy, Marie Cottrell
Working times in atypical forms of employment: the special case of part-time work CoRR (2006)
Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognit. Lett. 26 (12) (2005)
Marie Cottrell, Patrick Letrémy
How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey. Neurocomputing 63 (2005)
Marie Cottrell, Barbara Hammer, Thomas Villmann
New Aspects in Neurocomputing. Neurocomputing 63 (2005)
Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
On the use of self-organizing maps to accelerate vector quantization. Neurocomputing 56 (2004)
Marie Cottrell, Smaïl Ibbou, Patrick Letrémy
SOM-based algorithms for qualitative variables. Neural Networks 17 (8-9) (2004)
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) (2004)
Marie Cottrell, Patrick Letrémy
Analyzing surveys using the Kohonen algorithm. ESANN (2003)
Eric de Bodt, Marie Cottrell, Michel Verleysen
Statistical tools to assess the reliability of self-organizing maps. Neural Networks 15 (8-9) (2002)
Jean-Claude Fort, Patrick Letrémy, Marie Cottrell
Advantages and drawbacks of the Batch Kohonen algorithm. ESANN (2002)
Amaury Lendasse, Marie Cottrell, Vincent Wertz, Michel Verleysen
Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. ACC (2002)
Riadh Kallel, Marie Cottrell, Vincent Vigneron
Bootstrap for neural model selection. Neurocomputing 48 (1-4) (2002)
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
Some known facts about financial data. ESANN (2001)
Joseph Rynkiewicz, Marie Cottrell, Morgan Mangeas, Jian-Feng Yao
Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM. Rev. d'Intelligence Artif. 15 (3-4) (2001)
Eric de Bodt, Marie Cottrell, Michel Verleysen
Are they really neighbors? A statistical analysis of the SOM algorithm output. AISTATS (2001)
Marie Cottrell, Eric de Bodt, Michel Verleysen
A Statistical Tool to Assess the Reliability of Self-Organizing Maps. WSOM (2001)
Sophie Ponthieux, Marie Cottrell
Neural Classification and "Traditional" Data Analysis: An Application to Households' Living Conditions. IWANN (2) (2001)
Riadh Kallel, Marie Cottrell, Vincent Vigneron
Bootstrap for neural model selection. ESANN (2000)
Eric de Bodt, Marie Cottrell
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity. ESANN (2000)
Ana Isabel González, Manuel Graña, Marie Cottrell
Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation. Neural Comput. Appl. 8 (4) (1999)
Eric de Bodt, Marie Cottrell, Michel Verleysen
Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN (1999)
Marie Cottrell, Jean-Claude Fort, Gilles Pagès
Theoretical aspects of the SOM algorithm. Neurocomputing 21 (1-3) (1998)
Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire
Forecasting time-series by Kohonen classification. ESANN (1998)
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 Process. Lett. 6 (3) (1997)
Eric de Bodt, Michel Verleysen, Marie Cottrell
Kohonen maps versus vector quantization for data analysis. ESANN (1997)
Eric de Bodt, Philippe Grégoire, Marie Cottrell
A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification. ICANN (1997)
Morgan Mangeas, Marie Cottrell, Jian-Feng Yao
New criterion of identification in the multilayered perceptron modelling. ESANN (1997)
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)
Marie Cottrell, Patrick Rousset
The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data. IWANN (1997)
Marie Cottrell, Bernard Girard, Patrick Rousset
Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision. ICANN (1997)
Marie Cottrell, Eric de Bodt, Emmanuel-Frédéric Henrion
Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market. ICNN (1996)
Marie Cottrell, Eric de Bodt, Philippe Grégoire
Analyzing shocks on the interest rate structure with Kohonen map. CIFEr (1996)
Marie Cottrell, Eric de Bodt
A Kohonen map representation to avoid misleading interpretations. ESANN (1996)
Marie Cottrell, Bernard Girard, Yvonne Girard, Morgan Mangeas, Corinne Muller
Neural modeling for time series: A statistical stepwise method for weight elimination. IEEE Trans. Neural Networks 6 (6) (1995)
Marie Cottrell, Jean-Claude Fort, Gilles Pagès
Comments about "Analysis of the convergence properties of topology preserving neural networks". IEEE Trans. Neural Networks 6 (3) (1995)
Smaïl Ibbou, Marie Cottrell
Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm. ESANN (1995)
Marie Cottrell, Bernard Girard, Yvonne Girard, Corinne Muller, Patrick Rousset
Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map. IWANN (1995)
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) (1995)
Marie Cottrell, Jean-Claude Fort, Gilles Pagès
Two or three things that we know about the Kohonen algorithm. ESANN (1994)
Marie Cottrell, Patrick Letrémy, Elisabeth Roy
Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence Analysis. IWANN (1993)
Marie Cottrell, Bernard Girard, Yvonne Girard, Morgan Mangeas
Time series and neural: a statistical method for weight elimination. ESANN (1993)