Time series and neural: a statistical method for weight elimination. - Marie Cottrell; Bernard Girard; Yvonne Girard; Morgan Mangeas (ESANN, 1993)

Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence Analysis. - Marie Cottrell; Patrick Letrémy; Elisabeth Roy (IWANN, 1993)

Two or three things that we know about the Kohonen algorithm. - Marie Cottrell; Jean-Claude Fort; Gilles Pagès (ESANN, 1994)

Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm. - Smaïl Ibbou; Marie Cottrell (ESANN, 1995)

Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map. - Marie Cottrell; Bernard Girard; Yvonne Girard; Corinne Muller; Patrick Rousset (IWANN, 1995)

Competitive stochastic neural networks for Vector Quantization of images. - Manuel Graña; Alicia D'Anjou; Ana Isabel González; F. Xabier Albizuri; Marie Cottrell (Neurocomputing, 1995)

Comments about "Analysis of the convergence properties of topology preserving neural networks". - Marie Cottrell; Jean-Claude Fort; Gilles Pagès (IEEE Trans. Neural Networks, 1995)

Neural modeling for time series: A statistical stepwise method for weight elimination. - Marie Cottrell; Bernard Girard; Yvonne Girard; Morgan Mangeas; Corinne Muller (IEEE Trans. Neural Networks, 1995)

Analyzing shocks on the interest rate structure with Kohonen map. - Marie Cottrell; Eric de Bodt; Philippe Grégoire (CIFEr, 1996)

A Kohonen map representation to avoid misleading interpretations. - Marie Cottrell; Eric de Bodt (ESANN, 1996)

Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market. - Marie Cottrell; Eric de Bodt; Emmanuel-Frédéric Henrion (ICNN, 1996)

Kohonen maps versus vector quantization for data analysis. - Eric de Bodt; Michel Verleysen; Marie Cottrell (ESANN, 1997)

Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences. - Ana Isabel González; Manuel Graña; Alicia D'Anjou; F. Xabier Albizuri; Marie Cottrell (ESANN, 1997)

New criterion of identification in the multilayered perceptron modelling. - Morgan Mangeas; Marie Cottrell; Jian-Feng Yao (ESANN, 1997)

A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification. - Eric de Bodt; Philippe Grégoire; Marie Cottrell (ICANN, 1997)

Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision. - Marie Cottrell; Bernard Girard; Patrick Rousset (ICANN, 1997)

The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data. - Marie Cottrell; Patrick Rousset (IWANN, 1997)

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. - Ana Isabel González; Manuel Graña; Alicia D'Anjou; F. Xabier Albizuri; Marie Cottrell (Neural Process. Lett., 1997)

Forecasting time-series by Kohonen classification. - Amaury Lendasse; Michel Verleysen; Eric de Bodt; Marie Cottrell; Philippe Grégoire (ESANN, 1998)

Theoretical aspects of the SOM algorithm. - Marie Cottrell; Jean-Claude Fort; Gilles Pagès (Neurocomputing, 1998)

Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. - Eric de Bodt; Marie Cottrell; Michel Verleysen (ESANN, 1999)

Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation. - Ana Isabel González; Manuel Graña; Marie Cottrell (Neural Comput. Appl., 1999)

Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity. - Eric de Bodt; Marie Cottrell (ESANN, 2000)

Are they really neighbors? A statistical analysis of the SOM algorithm output. - Eric de Bodt; Marie Cottrell; Michel Verleysen (AISTATS, 2001)

Some known facts about financial data. - Eric de Bodt; Joseph Rynkiewicz; Marie Cottrell (ESANN, 2001)

Neural Classification and "Traditional" Data Analysis: An Application to Households' Living Conditions. - Sophie Ponthieux; Marie Cottrell (IWANN (2), 2001)

A Statistical Tool to Assess the Reliability of Self-Organizing Maps. - Marie Cottrell; Eric de Bodt; Michel Verleysen (WSOM, 2001)

Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM. - Joseph Rynkiewicz; Marie Cottrell; Morgan Mangeas; Jian-Feng Yao (Rev. d'Intelligence Artif., 2001)

Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. - Amaury Lendasse; Marie Cottrell; Vincent Wertz; Michel Verleysen (ACC, 2002)

Advantages and drawbacks of the Batch Kohonen algorithm. - Jean-Claude Fort; Patrick Letrémy; Marie Cottrell (ESANN, 2002)

Bootstrap for neural model selection. - Riadh Kallel; Marie Cottrell; Vincent Vigneron (Neurocomputing, 2002)

Statistical tools to assess the reliability of self-organizing maps. - Eric de Bodt; Marie Cottrell; Michel Verleysen (Neural Networks, 2002)

Analyzing surveys using the Kohonen algorithm. - Marie Cottrell; Patrick Letrémy (ESANN, 2003)

Double quantization forecasting method for filling missing data in the CATS time series. - Geoffroy Simon; John Aldo Lee; Michel Verleysen; Marie Cottrell (IJCNN, 2004)

On the use of self-organizing maps to accelerate vector quantization. - Eric de Bodt; Marie Cottrell; Patrick Letrémy; Michel Verleysen (Neurocomputing, 2004)

SOM-based algorithms for qualitative variables. - Marie Cottrell; Smaïl Ibbou; Patrick Letrémy (Neural Networks, 2004)

Double quantization of the regressor space for long-term time series prediction: method and proof of stability. - Geoffroy Simon; Amaury Lendasse; Marie Cottrell; Jean-Claude Fort; Michel Verleysen (Neural Networks, 2004)

New Aspects in Neurocomputing. - Marie Cottrell; Barbara Hammer; Thomas Villmann (Neurocomputing, 2005)

How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey. - Marie Cottrell; Patrick Letrémy (Neurocomputing, 2005)

Time series forecasting: Obtaining long term trends with self-organizing maps. - Geoffroy Simon; Amaury Lendasse; Marie Cottrell; Jean-Claude Fort; Michel Verleysen (Pattern Recognit. Lett., 2005)

Prototype Based Classification Using Information Theoretic Learning. - Thomas Villmann; Barbara Hammer; Frank-Michael Schleif; Tina Geweniger; Tom Fischer; Marie Cottrell (ICONIP (2), 2006)

Advances in Self Organising Maps - Marie Cottrell; Michel Verleysen (CoRR, 2006)

Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation - Marie Cottrell; Smaïl Ibbou; Patrick Letrémy; Patrick Rousset (CoRR, 2006)

Working times in atypical forms of employment: the special case of part-time work - Patrick Letrémy; Marie Cottrell (CoRR, 2006)

Batch and median neural gas. - Marie Cottrell; Barbara Hammer; Alexander Hasenfuss; Thomas Villmann (Neural Networks, 2006)

Advances in Self-Organizing Maps. - Marie Cottrell; Michel Verleysen (Neural Networks, 2006)

Consumer Profile Identification and Allocation. - Patrick Letrémy; Marie Cottrell; Eric Esposito; Valérie Laffite; Sally Showk (IWANN, 2007)

Traitement Des Donnees Manquantes Au Moyen De L'Algorithme De Kohonen - Marie Cottrell; Smaïl Ibbou; Patrick Letrémy (CoRR, 2007)

Missing values : processing with the Kohonen algorithm - Marie Cottrell; Patrick Letrémy (CoRR, 2007)

Forecasting the CATS benchmark with the Double Vector Quantization method. - Geoffroy Simon; John Aldo Lee; Marie Cottrell; Michel Verleysen (Neurocomputing, 2007)

Fuzzy classification using information theoretic learning vector quantization. - Thomas Villmann; Barbara Hammer; Frank-Michael Schleif; Wieland Hermann; Marie Cottrell (Neurocomputing, 2008)

Fault Prediction in Aircraft Engines Using Self-Organizing Maps. - Marie Cottrell; Patrice Gaubert; Cédric Eloy; Damien François; Geoffroy Hallaux; Jérôme Lacaille; Michel Verleysen (WSOM, 2009)

Self Organizing Star (SOS) for health monitoring. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (ESANN, 2010)

Aircraft Engine Health Monitoring Using Self-Organizing Maps. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (ICDM, 2010)

Trajectory Clustering for Vibration Detection in Aircraft Engines. - Aurélien Hazan; Michel Verleysen; Marie Cottrell; Jérôme Lacaille (ICDM, 2010)

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (WSOM, 2011)

Robust clustering of high-dimensional data. - Anastasios Bellas; Charles Bouveyron; Marie Cottrell; Jérôme Lacaille (ESANN, 2012)

Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages. - Nicolas Bourgeois; Marie Cottrell; Benjamin Déruelle; Stéphane Lamassé; Patrick Letrémy (WSOM, 2012)

Professional Trajectories of Workers Using Disconnected Self-Organizing Maps. - Etienne Côme; Marie Cottrell; Patrice Gaubert (WSOM, 2012)

On-Line Relational SOM for Dissimilarity Data. - Madalina Olteanu; Nathalie Villa-Vialaneix; Marie Cottrell (WSOM, 2012)

Neural Networks for Complex Data. - Marie Cottrell; Madalina Olteanu; Fabrice Rossi; Joseph Rynkiewicz; Nathalie Villa-Vialaneix (Künstliche Intell., 2012)

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. - Anastasios Bellas; Charles Bouveyron; Marie Cottrell; Jérôme Lacaille (Adv. Data Anal. Classif., 2013)

Anomaly detection based on indicators aggregation. - Tsirizo Rabenoro; Jérôme Lacaille; Marie Cottrell; Fabrice Rossi (IJCNN, 2014)

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. - Tsirizo Rabenoro; Jérôme Lacaille; Marie Cottrell; Fabrice Rossi (ICDM, 2014)

Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. - Anastasios Bellas; Charles Bouveyron; Marie Cottrell; Jérôme Lacaille (WSOM, 2014)

Anomaly Detection Based on Indicator Aggregation. - Tsirizo Rabenoro; Jérôme Lacaille; Marie Cottrell; Fabrice Rossi (CoRR, 2014)

Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. - Tsirizo Rabenoro; Jérôme Lacaille; Marie Cottrell; Fabrice Rossi (Trans. Mach. Learn. Data Min., 2014)

Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. - Tsirizo Rabenoro; Jérôme Lacaille; Marie Cottrell; Fabrice Rossi (ESANN, 2015)

Search for Meaning Through the Study of Co-occurrences in Texts. - Nicolas Bourgeois; Marie Cottrell; Stéphane Lamassé; Madalina Olteanu (IWANN (2), 2015)

How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining. - Nicolas Bourgeois; Marie Cottrell; Benjamin Déruelle; Stéphane Lamassé; Patrick Letrémy (Neurocomputing, 2015)

Analysis of professional trajectories using disconnected self-organizing maps. - Etienne Côme; Marie Cottrell; Patrice Gaubert (Neurocomputing, 2015)

Theoretical and Applied Aspects of the Self-Organizing Maps. - Marie Cottrell; Madalina Olteanu; Fabrice Rossi; Nathalie Villa-Vialaneix (WSOM, 2016)

Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros. - Julien Alerini; Marie Cottrell; Madalina Olteanu (IWANN (2), 2017)

Multidimensional urban segregation: An exploratory case study. - Marie Cottrell; Madalina Olteanu; Julien Randon-Furling; Aurélien Hazan (WSOM, 2017)

Anomaly Detection for Bivariate Signals. - Marie Cottrell; Cynthia Faure; Jérôme Lacaille; Madalina Olteanu (IWANN (1), 2019)

Detection of Abnormal Flights Using Fickle Instances in SOM Maps. - Marie Cottrell; Cynthia Faure; Jérôme Lacaille; Madalina Olteanu (WSOM+, 2019)

Editorial. - Jean-Charles Lamirel; Marie Cottrell; Madalina Olteanu; Bruno Lévy 001 (Neural Comput. Appl., 2020)

Multidimensional urban segregation: toward a neural network measure. - Madalina Olteanu; Aurélien Hazan; Marie Cottrell; Julien Randon-Furling (Neural Comput. Appl., 2020)

Sparse Clustering with K-Means - Which Penalties and for Which Data? - Marie Chavent; Marie Cottrell; Alex Mourer; Madalina Olteanu (WSOM+, 2024)