Marie Cottrell

96 papers A* 3A 1B 19C 6Misc 4Journal 44Unranked 18

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Sparse Clustering with K-Means - Which Penalties and for Which Data? WSOM+ Marie Chavent, Marie Cottrell, Alex Mourer, Madalina Olteanu
2023	C	`ed.`	Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023, Rome, Italy, November 13-15, 2023. IJCCI Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe
2022	C	`ed.`	Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022, Valletta, Malta, October 24-26, 2022. IJCCI Thomas Bäck, Bas van Stein, Christian Wagner, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick, Janusz Kacprzyk
2021	C	`ed.`	Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI 2021, Online Streaming, October 25-27, 2021 IJCCI Thomas Bäck, Christian Wagner, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Juan Julián Merelo, Kevin Warwick
2020	J	`jnl`	Editorial. Neural Comput. Appl. Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy
2020	J	`jnl`	Multidimensional urban segregation: toward a neural network measure. Neural Comput. Appl. Madalina Olteanu, Aurélien Hazan, Marie Cottrell, Julien Randon-Furling
2019	—	`conf`	Anomaly Detection for Bivariate Signals. IWANN (1) Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
2019	—	`conf`	Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
2017	—	`ed.`	12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017 WSOM Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu
2017	—	`conf`	Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros. IWANN (2) Julien Alerini, Marie Cottrell, Madalina Olteanu
2017	—	`conf`	Multidimensional urban segregation: An exploratory case study. WSOM Marie Cottrell, Madalina Olteanu, Julien Randon-Furling, Aurélien Hazan
2016	—	`conf`	Theoretical and Applied Aspects of the Self-Organizing Maps. WSOM Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix
2015	J	`jnl`	Analysis of professional trajectories using disconnected self-organizing maps. Neurocomputing Etienne Côme, Marie Cottrell, Patrice Gaubert
2015	J	`jnl`	How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining. Neurocomputing Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle, Stéphane Lamassé, Patrick Letrémy
2015	J	`jnl`	How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining. CoRR Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle, Stéphane Lamassé, Patrick Letrémy
2015	J	`jnl`	Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2015	B	`conf`	Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. ESANN Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2015	J	`jnl`	Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2015	—	`conf`	Search for Meaning Through the Study of Co-occurrences in Texts. IWANN (2) Nicolas Bourgeois, Marie Cottrell, Stéphane Lamassé, Madalina Olteanu
2014	A*	`conf`	A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. ICDM Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	J	`jnl`	A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	—	`conf`	Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2014	J	`jnl`	Anomaly Detection Based on Indicator Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	J	`jnl`	Anomaly Detection Based on Indicators Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	B	`conf`	Anomaly detection based on indicators aggregation. IJCNN Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	J	`jnl`	Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Trans. Mach. Learn. Data Min. Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2013	J	`jnl`	Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2012	—	`conf`	Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages. WSOM Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle, Stéphane Lamassé, Patrick Letrémy
2012	J	`jnl`	Neural Networks for Complex Data CoRR Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
2012	J	`jnl`	Neural Networks for Complex Data. Künstliche Intell. Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
2012	—	`conf`	On-Line Relational SOM for Dissimilarity Data. WSOM Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
2012	J	`jnl`	On-line relational SOM for dissimilarity data CoRR Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
2012	—	`conf`	Professional Trajectories of Workers Using Disconnected Self-Organizing Maps. WSOM Etienne Côme, Marie Cottrell, Patrice Gaubert
2012	B	`conf`	Robust clustering of high-dimensional data. ESANN Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2011	—	`conf`	Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	A*	`conf`	Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	B	`conf`	Self Organizing Star (SOS) for health monitoring. ESANN Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	A*	`conf`	Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille
2009	—	`conf`	Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen
2008	J	`jnl`	Fuzzy classification using information theoretic learning vector quantization. Neurocomputing Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell
2007	J	`jnl`	Bootstrap for neural model selection CoRR Riadh Kallel, Marie Cottrell, Vincent Vigneron
2007	J	`jnl`	Consumer Profile Identification and Allocation CoRR Patrick Letrémy, Marie Cottrell, Eric Esposito, Valérie Laffite, Sally Showk
2007	Misc	`conf`	Consumer Profile Identification and Allocation. IWANN Patrick Letrémy, Marie Cottrell, Eric Esposito, Valérie Laffite, Sally Showk
2007	J	`jnl`	Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen
2007	J	`jnl`	Missing values : processing with the Kohonen algorithm CoRR Marie Cottrell, Patrick Letrémy
2007	J	`jnl`	On the use of self-organizing maps to accelerate vector quantization CoRR Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
2007	J	`jnl`	Statistical tools to assess the reliability of self-organizing maps CoRR Eric de Bodt, Marie Cottrell, Michel Verleysen
2007	J	`jnl`	Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps CoRR Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2007	J	`jnl`	Traitement Des Donnees Manquantes Au Moyen De L'Algorithme De Kohonen CoRR Marie Cottrell, Smaïl Ibbou, Patrick Letrémy
2006	J	`jnl`	Advances in Self Organising Maps CoRR Marie Cottrell, Michel Verleysen
2006	J	`jnl`	Advances in Self-Organizing Maps. Neural Networks Marie Cottrell, Michel Verleysen
2006	J	`jnl`	Batch and median neural gas. Neural Networks Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
2006	J	`jnl`	Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation CoRR Marie Cottrell, Smaïl Ibbou, Patrick Letrémy, Patrick Rousset
2006	—	`conf`	Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell
2006	J	`jnl`	Working times in atypical forms of employment: the special case of part-time work CoRR Patrick Letrémy, Marie Cottrell
2005	J	`jnl`	How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey. Neurocomputing Marie Cottrell, Patrick Letrémy
2005	J	`jnl`	New Aspects in Neurocomputing. Neurocomputing Marie Cottrell, Barbara Hammer, Thomas Villmann
2005	J	`jnl`	Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognit. Lett. Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2004	B	`conf`	Double quantization forecasting method for filling missing data in the CATS time series. IJCNN Geoffroy Simon, John Aldo Lee, Michel Verleysen, Marie Cottrell
2004	J	`jnl`	Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2004	J	`jnl`	On the use of self-organizing maps to accelerate vector quantization. Neurocomputing Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen
2004	J	`jnl`	SOM-based algorithms for qualitative variables. Neural Networks Marie Cottrell, Smaïl Ibbou, Patrick Letrémy
2003	B	`conf`	Analyzing surveys using the Kohonen algorithm. ESANN Marie Cottrell, Patrick Letrémy
2002	B	`conf`	Advantages and drawbacks of the Batch Kohonen algorithm. ESANN Jean-Claude Fort, Patrick Letrémy, Marie Cottrell
2002	J	`jnl`	Bootstrap for neural model selection. Neurocomputing Riadh Kallel, Marie Cottrell, Vincent Vigneron
2002	C	`conf`	Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. ACC Amaury Lendasse, Marie Cottrell, Vincent Wertz, Michel Verleysen
2002	J	`jnl`	Statistical tools to assess the reliability of self-organizing maps. Neural Networks Eric de Bodt, Marie Cottrell, Michel Verleysen
2001	—	`conf`	A Statistical Tool to Assess the Reliability of Self-Organizing Maps. WSOM Marie Cottrell, Eric de Bodt, Michel Verleysen
2001	A	`conf`	Are they really neighbors? A statistical analysis of the SOM algorithm output. AISTATS Eric de Bodt, Marie Cottrell, Michel Verleysen
2001	J	`jnl`	Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM. Rev. d'Intelligence Artif. Joseph Rynkiewicz, Marie Cottrell, Morgan Mangeas, Jian-Feng Yao
2001	—	`conf`	Neural Classification and "Traditional" Data Analysis: An Application to Households' Living Conditions. IWANN (2) Sophie Ponthieux, Marie Cottrell
2001	B	`conf`	Some known facts about financial data. ESANN Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
2000	B	`conf`	Bootstrap for neural model selection. ESANN Riadh Kallel, Marie Cottrell, Vincent Vigneron
2000	B	`conf`	Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity. ESANN Eric de Bodt, Marie Cottrell
1999	J	`jnl`	Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation. Neural Comput. Appl. Ana Isabel González, Manuel Graña, Marie Cottrell
1999	B	`conf`	Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN Eric de Bodt, Marie Cottrell, Michel Verleysen
1998	B	`conf`	Forecasting time-series by Kohonen classification. ESANN Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire
1998	J	`jnl`	Theoretical aspects of the SOM algorithm. Neurocomputing Marie Cottrell, Jean-Claude Fort, Gilles Pagès
1997	C	`conf`	A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification. ICANN Eric de Bodt, Philippe Grégoire, Marie Cottrell
1997	J	`jnl`	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. Ana Isabel González, Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri, Marie Cottrell
1997	B	`conf`	Kohonen maps versus vector quantization for data analysis. ESANN Eric de Bodt, Michel Verleysen, Marie Cottrell
1997	C	`conf`	Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision. ICANN Marie Cottrell, Bernard Girard, Patrick Rousset
1997	B	`conf`	New criterion of identification in the multilayered perceptron modelling. ESANN Morgan Mangeas, Marie Cottrell, Jian-Feng Yao
1997	B	`conf`	Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences. ESANN Ana Isabel González, Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri, Marie Cottrell
1997	Misc	`conf`	The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data. IWANN Marie Cottrell, Patrick Rousset
1996	B	`conf`	A Kohonen map representation to avoid misleading interpretations. ESANN Marie Cottrell, Eric de Bodt
1996	—	`conf`	Analyzing shocks on the interest rate structure with Kohonen map. CIFEr Marie Cottrell, Eric de Bodt, Philippe Grégoire
1996	—	`conf`	Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market. ICNN Marie Cottrell, Eric de Bodt, Emmanuel-Frédéric Henrion
1995	J	`jnl`	Comments about "Analysis of the convergence properties of topology preserving neural networks". IEEE Trans. Neural Networks Marie Cottrell, Jean-Claude Fort, Gilles Pagès
1995	J	`jnl`	Competitive stochastic neural networks for Vector Quantization of images. Neurocomputing Manuel Graña, Alicia D'Anjou, Ana Isabel González, F. Xabier Albizuri, Marie Cottrell
1995	Misc	`conf`	Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map. IWANN Marie Cottrell, Bernard Girard, Yvonne Girard, Corinne Muller, Patrick Rousset
1995	B	`conf`	Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm. ESANN Smaïl Ibbou, Marie Cottrell
1995	J	`jnl`	Neural modeling for time series: A statistical stepwise method for weight elimination. IEEE Trans. Neural Networks Marie Cottrell, Bernard Girard, Yvonne Girard, Morgan Mangeas, Corinne Muller
1994	B	`conf`	Two or three things that we know about the Kohonen algorithm. ESANN Marie Cottrell, Jean-Claude Fort, Gilles Pagès
1993	Misc	`conf`	Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence Analysis. IWANN Marie Cottrell, Patrick Letrémy, Elisabeth Roy
1993	B	`conf`	Time series and neural: a statistical method for weight elimination. ESANN Marie Cottrell, Bernard Girard, Yvonne Girard, Morgan Mangeas