Marie Cottrell

Documents

Publications

	Editorial of Special Issue on WSOM+ 2017 Jean-Charles Lamirel , Marie Cottrell , Madalina Olteanu , Bruno Lévy Neural Computing and Applications, 2020, 32, pp.17973-17975. ⟨10.1007/s00521-020-05481-7⟩ Article dans une revue hal-03196390v1
	Multidimensional urban segregation: toward a neural network measure Madalina Olteanu , Aurélien Hazan , Marie Cottrell , Julien Randon-Furling Neural Computing and Applications, 2019, 32 (24), pp.18179-18191. ⟨10.1007/s00521-019-04199-5⟩ Article dans une revue hal-02918596v1
	Self-Organizing Maps, theory and applications Marie Cottrell , Madalina Olteanu , Fabrice Rossi , Nathalie N. Villa-Vialaneix Revista de Investigacion Operacional, 2018, 39 (1), pp.1-22 Article dans une revue hal-01796059v1
	How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining Nicolas Bourgeois , Marie Cottrell , Benjamin Deruelle , Stéphane Lamassé , Patrick Letrémy Neurocomputing, 2014, 147, pp.120-135. ⟨10.1016/j.neucom.2013.12.057⟩ Article dans une revue hal-01168120v1
	Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi Transactions on Machine Learning and Data Mining, 2014, 7 (2), pp.39-64 Article dans une revue hal-01133175v1
	Analysis of Professional Trajectories using Disconnected Self-Organizing Maps Etienne Côme , Marie Cottrell , Patrice Gaubert Neurocomputing, 2014, 147, pp.185-196. ⟨10.1016/j.neucom.2013.12.058⟩ Article dans une revue hal-01169515v1
	Model-based Clustering of High-dimensional Data Streams with Online Mixture of Probabilistic PCA Anastasios Bellas , Charles Bouveyron , Marie Cottrell , Jérôme Lacaille Advances in Data Analysis and Classification, 2013, 7, pp.281-300 Article dans une revue hal-00759945v1
	Neural Networks for Complex Data Marie Cottrell , Madalina Olteanu , Fabrice Rossi , Joseph Rynkiewicz , Nathalie Villa-Vialaneix KI - Künstliche Intelligenz, 2012, 26 (4), pp.373-380. ⟨10.1007/s13218-012-0207-2⟩ Article dans une revue hal-00744929v1
	Forecasting the CATS benchmark with the Double Vector Quantization method Geoffroy Simon , John Lee , Marie Cottrell , Michel Verleysen Neurocomputing, 2007, 70 (13-15), pp.2400-2409. ⟨10.1016/j.neucom.2005.12.137⟩ Article dans une revue hal-00134938v1
	Batch and median neural gas Marie Cottrell , Barbara Hammer , Alexander Hasenfuss , Thomas Villmann Neural Networks, 2006, 19, pp.762-771. ⟨10.1016/j.neunet.2006.05.018⟩ Article dans une revue hal-00107462v1
	Advances in Self Organising Maps Marie Cottrell , Michel Verleysen Neural Networks, 2006, 19 (6-7), pp.721-722. ⟨10.1016/j.neunet.2006.05.011⟩ Article dans une revue hal-00113735v1
	How to use the Kohonen algorithm to simultaneously analyse individuals in a survey Marie Cottrell , Patrick Letrémy Neurocomputing, 2005, 63, pp.193-207. ⟨10.1016/j.neucom.2004.04.011⟩ Article dans une revue hal-00107984v1
	Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps Geoffroy Simon , Amaury Lendasse , Marie Cottrell , Jean-Claude Fort , Michel Verleysen Pattern Recognition Letters, 2005, 26 n° 12, pp.1795-1808. ⟨10.1016/j.patrec.2005.03.002⟩ Article dans une revue hal-00122749v1
	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, 17, pp.1169-1181. ⟨10.1016/j.NEUNET.2004.08.008⟩ Article dans une revue hal-00115624v1
	On the use of self-organizing maps to accelerate vector quantization Eric de Bodt , Marie Cottrell , Patrick Letrémy , Michel Verleysen Neurocomputing, 2004, 56, pp.187-203. ⟨10.1016/j.neucom.2003.09.009⟩ Article dans une revue hal-00122759v1
	Using working patterns as a basis for differentiating part-time employment Patrick Letrémy , Christèle Meilland , Marie Cottrell European Journal of Economic and Social Systems, 2004, 17, pp.29-40 Article dans une revue hal-00113618v1
	Some known facts about financial data Eric de Bodt , Joseph Rynkiewicz , Marie Cottrell European Journal of Economic and Social Systems, 2004, 17, pp.167-182 Article dans une revue hal-00108180v1
	SOM-based algorithms for qualitative variables Marie Cottrell , Smail Ibbou , Patrick Letrémy Neural Networks, 2004, 17, pp.1149-1167. ⟨10.1016/j.neunet.2004.07.010⟩ Article dans une revue hal-00107960v1
	Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation Marie Cottrell , Patrick Letrémy , Patrick Rousset , Smail Ibbou Journal de la Société Française de Statistique, 2003, 144 n°4, pp.67-106 Article dans une revue hal-00113754v1
	Statistical tools to assess the reliability of self-organizing maps Eric de Bodt , Marie Cottrell , Michel Verleysen Neural Networks, 2002, 15, n° 8-9, pp.967-978 Article dans une revue hal-00122768v1
	Bootstrap for neural model selection Riadh Kallel , Marie Cottrell , Vincent Vigneron Neurocomputing, 2002, 48, pp.175-183. ⟨10.1016/S0925-2312(01)00650-6⟩ Article dans une revue hal-00122769v1
	Living conditions: classification of households using the Kohonen algorithm Sophie Ponthieux , Marie Cottrell European Journal of Economic and Social Systems, 2001, 15 n°2, pp.69-84 Article dans une revue hal-00133837v1
	Use of an Hourglass Model in Neuronal Coding Marie Cottrell , Tatiana Turova Journal of Applied Probability, 2000, VOL 37, n° 1, pp.168-186 Article dans une revue hal-00134149v1
	CLASSIFICATION OF RECURRING UNEMPLOYED WORKERS AND UNEMPLOYMENT EXITS Marie Cottrell , Patrice Gaubert European Journal of Economic and Social Systems, 2000, Vol 14, n°1, pp.59-68 Article dans une revue hal-00134148v1
	Basic Competitive Neural Networks as Adaptative Mechanisms for Non-Stationary Colour Quantisation Marie Cottrell , Ana Isabel Gonzalez , Manuel Grana Neural Computing and Applications, 1999, 8, pp.347-367 Article dans une revue hal-00134150v1
	NEURAL NETWORK AND SEGMENTED LABOUR MARKET Patrice Gaubert , Marie Cottrell European Journal of Economic and Social Systems, 1999, Vol 14, n° 1, pp.19-40 Article dans une revue hal-00134146v1
	A DYNAMIC ANALYSIS OF SEGMENTED LABOR MARKET Patrice Gaubert , Marie Cottrell Fuzzy Economic Review, 1999, Vol IV, n° 2, pp.63-82 Article dans une revue hal-00134147v1
	Theoretical Aspects of the SOM Algorithm Marie Cottrell , Jean-Claude Fort , Gilles Pagès Neurocomputing, 1998, 21, pp.119-138 Article dans une revue hal-00141470v1

	Double quantization forecasting method for filling missing data in the CATS Time Series Geoffroy Simon , John Lee , Michel Verleysen , Marie Cottrell 2004 IEEE International Joint Conference on Neural Networks, Jul 2024, Budapest, Hungary. pp.1635-1640 Communication dans un congrès hal-00141472v1
	Machine Learning and Data-Driven Approaches in Spatial Statistics : a case study of housing price estimation Sarah Soleiman , Julien Randon-Furling , Marie Cottrell WSOM 2022 Workshop on Self-Organizing Maps (WSOM+), Jul 2022, PRAGUE, Czech Republic Communication dans un congrès hal-04486077v1
	Machine Learning and Data-Driven Approaches in Spatial Statistics: A Case Study of Housing Price Estimation Sarah Soleiman , Julien Randon-Furling , Marie Cottrell WSOM 2022 Workshop on Self-Organizing Maps (WSOM+) - July 2022, Prague, Czechia, Jul 2022, PRAHA, Czech Republic. pp.31-40, ⟨10.1007/978-3-031-15444-7_4⟩ Communication dans un congrès hal-03900972v1
	Quantitative Methods for Big Data Marie Cottrell 14th Conference On Operation Research, Universidad de la Habana, Mar 2020, Havana, Cuba Communication dans un congrès hal-02928881v1
	Métodos Cuantitativos para Big Data Marie Cottrell TLAIO, Juan Antonio Marmolejo Martin, Universidad de Granada, Sep 2019, Melilla, España Communication dans un congrès hal-02936962v1
	Hidden-Markov models for time series of continuous proportions with excess zeros Julien Alerini , Marie Cottrell , Madalina Olteanu 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), Jun 2017, Cadix, Spain Communication dans un congrès hal-01519713v1
	Multidimensional urban segregation : an exploratory case study Marie Cottrell , Aurélien Hazan , Madalina Olteanu , Julien Randon-Furling 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+), Jun 2017, Nancy, France Communication dans un congrès hal-01519723v1
	Theoretical and applied aspects of the self-organizing maps Marie Cottrell , Madalina Olteanu , Fabrice Rossi , Nathalie Vialaneix WSOM 2016, Jan 2016, Houston, TX, United States. pp.3-26, ⟨10.1007/978-3-319-28518-4_1⟩ Communication dans un congrès hal-01270701v1
	Search for Meaning Through the Study of Co-occurrences in Texts Nicolas Bourgeois , Marie Cottrell , Stéphane Lamasse , Madalina Olteanu International Work-Conference on Artificial Neural Networks, Jun 2015, Palma de Mallorca, Spain Communication dans un congrès hal-01519217v1
	Search Strategies for Binary Feature Selection for a Naive Bayes Classifier Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.291-296 Communication dans un congrès hal-01162981v1
	Anomaly Detection Based on Indicators Aggregation Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi International Joint Conference on Neural Networks (IJCNN 2014), Jul 2014, Beijing, China. pp.2548--2555, ⟨10.1109/IJCNN.2014.6889841⟩ Communication dans un congrès hal-01064529v1
	Anomaly Detection Based on Aggregation of Indicators Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi 23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.64-71 Communication dans un congrès hal-01017853v2
	A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi Proceedings of the 14th Industrial Conference, ICDM 2014, Jul 2014, St. Petersburg, Russia. pp.144-158, ⟨10.1007/978-3-319-08976-8_11⟩ Communication dans un congrès hal-01058431v1
	Professional trajectories of workers using disconnected self-organizing maps Etienne Côme , Marie Cottrell , Patrice Gaubert 10 international Conference on Operations Research, Mar 2012, Habana, Cuba Communication dans un congrès hal-00695529v1
	On-line relational SOM for dissimilarity data Madalina Olteanu , Nathalie Villa-Vialaneix , Marie Cottrell WSOM 2012, Dec 2012, Santiago, Chile. pp.13-22 Communication dans un congrès hal-00768948v1
	Professional Trajectories of Workers Using Disconnected Self-Organizing Maps Etienne Come , Marie Cottrell , Patrice Gaubert 9th Workshop on Self-Organizing Maps (WSOM 2012), Dec 2012, Chile. 10p Communication dans un congrès hal-00952853v1
	Bayesian inference for outlier detection in vibration spectra with small learning dataset Aurélien Hazan , Michel M. Verleysen , Marie Cottrell , Jérôme Lacaille Surveillance 6, Oct 2011, Compiègne, France. http://www.surveillance6.fr/ Communication dans un congrès hal-00660793v1
	Linear smoothing of FRF for aicraft engine vibration monitoring Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille International Conference on Noise and Vibration Engineering, Sep 2010, Leuven, Belgium. ID126, http://www.isma-isaac.be/publications/ Communication dans un congrès hal-00523747v1
	Aircraft engine health monitoring using Self-Organizing Maps Etienne Côme , Marie Cottrell , Michel Verleysen , Jérôme Lacaille 10th Industrial Conference, ICDM 2010,, Jul 2010, Berlin, Germany. pp.405-417, ⟨10.1007/978-3-642-14400-4⟩ Communication dans un congrès hal-00458298v1
	Trajectoires d'emploi identifiées à l'aide de cartes auto-organisées classifiantes. Etude réalisée avec le Panel Study of Income Dynamics, 1993-2003 Etienne Côme , Marie Cottrell , Patrice Gaubert Modèles et apprentissages en Sciences Humaines et Sociales, Jun 2010, Lille, France. pp.XX-XX Communication dans un congrès hal-00450708v1
	Trajectory Clustering for Vibration Detection in Aircraft Engines Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille Industrial Conference on Data mining 2010, Jul 2010, Berlin, Germany. pp.362-375 Communication dans un congrès hal-00488946v1
	Self Organizing Star (SOS) for health monitoring Etienne Côme , Marie Cottrell , Michel Verleysen , Jérôme Lacaille European conference on artificial neural networks,, Apr 2010, Bruges, Belgium. pp.99-104 Communication dans un congrès hal-00446594v1
	Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille Machine Learning for Aerospace International Workshop, Jul 2009, Marseille, France. pp.149-152 Communication dans un congrès hal-00446258v1
	L'algorithme de Kohonen et ses applications en statistique Marie Cottrell , Patrick Letrémy Journées de Statistiques de laa Faculté de Mathématiques d'Alger, 2008, Alger, Algeria Communication dans un congrès hal-00324400v1
	Reconstruction and Classification of trajectories in the market labor Marie Cottrell , Patrice Gaubert , Patrick Letrémy , Joseph Rynkiewicz 8th Conference on Operation Research, Feb 2008, La Habana, Cuba Communication dans un congrès hal-00324402v1
	Applicacion de las redes de Kohonen a un estudio sobre condiciones de bienestar y salud de los trabajadores Vivian Sistachs , Marie Cottrell , Patrick Letrémy XVI Simposio Internacional de Metodos Matematicas Aplicados a las Ciencias, Feb 2008, Costa Rica. pp.166-172 Communication dans un congrès hal-00271811v1
	Data Analysis using Self-Organizing Maps Marie Cottrell , Patrick Letrémy European Symposium on Time Series Prediction ESTS'08, Sep 2008, Porvoo, Finland Communication dans un congrès hal-00324401v1
	Visualisation des données de grandes dimensions au moyen de l'algorithme de Kohonen Marie Cottrell Journées ATHIS Ecole Normale Supérieure Lyon, 2007, Lyon, France Communication dans un congrès hal-00324412v1
	Dynamical Equilibrium, trajectories study in an economical system. The case of the labor market. Patrick Letrémy , Marie Cottrell , Patrice Gaubert , Joseph Rynkiewicz WSOM 2007, 6th International Workshop on Self-Organizing Maps Conference Proceedings, Bielefeld, Sep 2007, Bielefeld, Germany. pp.TUP-2 Communication dans un congrès hal-00141463v2
	Equilibre dynamique, étude de trajectoires dans un système économique. Le cas du marché du travail. Marie Cottrell , Patrice Gaubert , Joseph Rynkiewicz , Patrick Letrémy MASHS 2007, May 2007, Brest, France. pp.Cottrell Communication dans un congrès hal-00139904v1
	Prototype Based Classification Using Information Theoretic Learning. Marie Cottrell , Barbara Hammer , Thomas Villmann , M. Schleif , T. Geweniger 13th International Conference Neural Information Processing (ICONIP 2006), Oct 2006, Hong Kong, China. pp.40-49, ⟨10.1007/11893257_5⟩ Communication dans un congrès hal-00402661v1
	Mathematical Aspects of the Kohonen algorithm Marie Cottrell 7th International Conference on Operations Research, 2006, The Habana, Cuba Communication dans un congrès hal-00113911v1
	Missing values : processing with the Kohonen algorithm Marie Cottrell , Patrick Letrémy ASMDA 2005, 2005, Brest, France. p 489-496 Communication dans un congrès hal-00122788v1
	The "profilograph": a toolbox for the analysis and segmentation of gas load curves Patrick Letrémy , Eric Esposito , Valérie Laffite , Sally Showk , Marie Cottrell Sep 2005, pp.447-454 Communication dans un congrès hal-00133835v1
	TRAITEMENT DES DONNEES MANQUANTES AU MOYEN DE L'ALGORITHME DE KOHONEN Marie Cottrell , Smail Ibbou , Patrick Letrémy 2003, pp.201-217 Communication dans un congrès hal-00141475v1
	Efficient estimators : the use of neural networks to construct pseudo panels Marie Cottrell , Patrice Gaubert 2003, pp.331-339 Communication dans un congrès hal-00122817v1
	Double SOM for long-term time series prediction Geoffroy Simon , Amaury Lendasse , Marie Cottrell , Jean-Claude Fort , Michel Verleysen 2003, pp.35-40 Communication dans un congrès hal-00139906v1
	Bootstrap for neural model selection Ryadh Kallel , Marie Cottrell , Vincent Vigneron 8th European Symposium on Artificial Neural Networks (ESANN 2000), Apr 2000, Bruges, Belgium. pp.61-68 Communication dans un congrès hal-00258886v1

	Anomaly Detection for Bivariate Signals Marie Cottrell , Cynthia Faure , Jérôme Lacaille , Madalina Olteanu Rojas I., Joya G., Catala A. (eds). Advances in Computational Intelligence, part 1, IWANN 2019, vol 11506, Springer, Cham, pp.162-173, 2019, Lecture Notes in Computer Science,, ⟨10.1007/978-3-030-20521-8_14⟩ Chapitre d'ouvrage hal-02874017v1
	Detection of Abnormal Flights Using Fickle Instances in SOM Maps Marie Cottrell , Cynthia Faure , Jérôme Lacaille , Madalina Olteanu Vellido A.; Gibert K; Angulo C.; Martín Guerrero J. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019., 976, Springer, Cham., pp.120-129, 2019, Advances in Intelligent Systems and Computing, 978-3-030-19641-7. ⟨10.1007/978-3-030-19642-4_12⟩ Chapitre d'ouvrage hal-02909696v1
	Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring Anastasios Bellas , Charles Bouveyron , Marie Cottrell , Jérôme Lacaille T. Villmann, F.M. Schleif, M. Kaden, M. Lange. Advances in Self-Organizing Maps and Learning Vector Quantization Proceedings of th 10th International Workshop WSOM 2014, 295, Springer, pp.145-155, 2014, AISC,, ⟨10.1007/978-3-319-07695-9_14⟩ Chapitre d'ouvrage hal-01169573v1
	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 Deruelle , Stéphane Lamassé , Patrick Letrémy P.A. Estevez et al. Advances in Self-Organizing Maps, Proceedings of WSOM 2012, 198, Springer-Verlag Berlin Heidelberg, pp.255-264, 2012, AISC, ⟨10.1007/978-3-642-35230-0_26⟩ Chapitre d'ouvrage hal-00759587v1
	Professional Trajectories of Workers Using Disconnected Self-Organizing Maps Etienne Côme , Marie Cottrell , Patrice Gaubert P.A. Estevez et al. (Eds.). Advances in Self-Organizing Maps, 198, Springer-Verlag Berlin Heidelberg, pp.295-304, 2012, AISC, ⟨10.1007/978-3-642-35230-0_30c⟩ Chapitre d'ouvrage hal-00757017v1
	Aircraft engine fleet monitoring using Self-Organizing Maps and Edit Distance Etienne Côme , Marie Cottrell , Michel Verleysen , Jérôme Lacaille Laaksonen J., Honkela T. Eds. WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps, Springer, Berlin, pp.298-307, 2011, LNCS 7731 Chapitre d'ouvrage hal-00566239v1
	Fault prediction in aircraft engines using Self-Organizing Maps Marie Cottrell , Patrice Gaubert , Cédric Eloy , Damien François , Geoffroy Hallaux José Principe, Risto Miikkulainen. Advances in Self-Organizing Maps, Springer, pp.37-44, 2009, Lecture Notes in Computer Sciences LNCS 5629, ⟨10.1007/978-3-642-02397-2⟩ Chapitre d'ouvrage hal-00402660v1
	Consumer Profile Identification and Allocation Patrick Letrémy , Marie Cottrell , Eric Esposito , Valérie Laffite , Sally Showk Francisco Sandoval, Alberto Prieto, Joan Cabestany, Manuel Grana. Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Springer, pp.530-538, 2007, Lecture Notes in Computer Science - 4507, ⟨10.1007/978-3-540-73007-1⟩ Chapitre d'ouvrage hal-00133833v2
	Cartes auto-organisatrices de Kohonen Marie Cottrell , Smail Ibbou , Patrick Letrémy , Patrick Rousset Younès Bennani. Apprentissage connexionniste, Hermes Science, pp.141-184, 2006, Informatique et systèmes d'information Chapitre d'ouvrage hal-00113717v1
	Working times in atypical forms of employment: the special case of part-time work Patrick Letrémy , Marie Cottrell Cédric Lesage et Marie Cottrell. Connectionist Approaches in Economics and Management Sciences, Kluwer, pp.111-129, 2003 Chapitre d'ouvrage hal-00113848v1
	Role of lateral inhibition in a real neural network Marie Cottrell , Jean Vaillant Demongeot, J. and Capasso, V. Mathematics applied to Biology and Medicine,, Wuerz Publishing Ltd, 7pp, 1993 Chapitre d'ouvrage hal-00690152v1

	Sparse Weighted K-Means for Groups of Mixed-Type Variables Marie Chavent , Madalina Olteanu , Marie Cottrell , Jérôme Lacaille , Alex Mourer Springer International Publishing, 533, 2022, Lecture Notes in Networks and Systems, ⟨10.1007/978-3-031-15444-7⟩ Ouvrages hal-03827823v1
	Neural Networks 2006 Special Issue "Advances in Self-Organizing Maps-WSOM 05" Marie Cottrell , Michel Verleysen Elsevier, pp.721-976, 2006 Ouvrages hal-00113740v1
	Neurocomputing 2005 Special Issue, "New aspects in Neurocomputing: 11th European Symposium on Artificial Neural Networks 2003" Marie Cottrell Elsevier, pp.1-551, 2005 Ouvrages hal-00315560v1
	Connectionist approaches in economics and management sciences Cédric Lesage , Marie Cottrell Kluwer, pp.269, 2003, Advances in Computational Management Science, Vol. 6 Ouvrages halshs-00076708v1

	Conférence invitée “Métodos estadísticos aplicados a la innovación y a la empresa”, TLAIO, Loja, Ecuador Marie Cottrell 2016 Autre publication scientifique hal-01523751v1
	Éditorial du numéro spécial RNTI - MASHS 2011/2012 : Modèles et Apprentissage en Sciences Humaines et Sociales Marie Cottrell , Madalina Olteanu , Juliette Rouchier , Nathalie Villa-Vialaneix 2013 Autre publication scientifique hal-00761082v1

	Probabilistic outlier detection in vibration spectra with small learning dataset Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille , Kurosh Madani 2012 Pré-publication, Document de travail hal-00681036v2

	Modélisation de réseaux de neurones par des chaînes de Markov et autres applications Marie Cottrell Mathématiques [math]. Université Paris-Sud, 1988. Français. ⟨NNT : ⟩ Thèse tel-04163026v1

	Proceedings of 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) 2017 Jean-Charles Lamirel , Marie Cottrell , Madalina Olteanu 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, Jun 2017, Vandoeuvre les Nancy, France. 2017, ⟨10.1109/WSOM41149.2017⟩ Proceedings/Recueil des communications hal-03196410v1
	Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros Julien Alerini , Marie Cottrell , Madalina Olteanu Springer, pp.198-209, 2017 Proceedings/Recueil des communications halshs-04032988v1

	Special Issue on WSOM+ 2017 Jean-Charles Lamirel , Marie Cottrell , Madalina Olteanu , Bruno Lévy Neural Computing and Applications, 32, 2020, Neural Computing and Applications N°spécial de revue/special issue hal-03196372v1

Marie Cottrell

Publications

Editorial of Special Issue on WSOM+ 2017

Multidimensional urban segregation: toward a neural network measure

Self-Organizing Maps, theory and applications

How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining

Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation

Analysis of Professional Trajectories using Disconnected Self-Organizing Maps

Model-based Clustering of High-dimensional Data Streams with Online Mixture of Probabilistic PCA

Neural Networks for Complex Data

Forecasting the CATS benchmark with the Double Vector Quantization method

Batch and median neural gas

Advances in Self Organising Maps

How to use the Kohonen algorithm to simultaneously analyse individuals in a survey

Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps

Double quantization of the regressor space for long-term time series prediction: Method and proof of stability

On the use of self-organizing maps to accelerate vector quantization

Using working patterns as a basis for differentiating part-time employment

Some known facts about financial data

SOM-based algorithms for qualitative variables

Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation

Statistical tools to assess the reliability of self-organizing maps

Bootstrap for neural model selection

Living conditions: classification of households using the Kohonen algorithm

Use of an Hourglass Model in Neuronal Coding

CLASSIFICATION OF RECURRING UNEMPLOYED WORKERS AND UNEMPLOYMENT EXITS

Basic Competitive Neural Networks as Adaptative Mechanisms for Non-Stationary Colour Quantisation

NEURAL NETWORK AND SEGMENTED LABOUR MARKET

A DYNAMIC ANALYSIS OF SEGMENTED LABOR MARKET

Theoretical Aspects of the SOM Algorithm

Double quantization forecasting method for filling missing data in the CATS Time Series

Machine Learning and Data-Driven Approaches in Spatial Statistics : a case study of housing price estimation

Machine Learning and Data-Driven Approaches in Spatial Statistics: A Case Study of Housing Price Estimation

Quantitative Methods for Big Data

Métodos Cuantitativos para Big Data

Hidden-Markov models for time series of continuous proportions with excess zeros

Multidimensional urban segregation : an exploratory case study

Theoretical and applied aspects of the self-organizing maps

Search for Meaning Through the Study of Co-occurrences in Texts

Search Strategies for Binary Feature Selection for a Naive Bayes Classifier

Anomaly Detection Based on Indicators Aggregation

Anomaly Detection Based on Aggregation of Indicators

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation

Professional trajectories of workers using disconnected self-organizing maps

On-line relational SOM for dissimilarity data

Professional Trajectories of Workers Using Disconnected Self-Organizing Maps

Bayesian inference for outlier detection in vibration spectra with small learning dataset

Linear smoothing of FRF for aicraft engine vibration monitoring

Aircraft engine health monitoring using Self-Organizing Maps

Trajectoires d'emploi identifiées à l'aide de cartes auto-organisées classifiantes. Etude réalisée avec le Panel Study of Income Dynamics, 1993-2003

Trajectory Clustering for Vibration Detection in Aircraft Engines

Self Organizing Star (SOS) for health monitoring

Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine

L'algorithme de Kohonen et ses applications en statistique

Reconstruction and Classification of trajectories in the market labor

Applicacion de las redes de Kohonen a un estudio sobre condiciones de bienestar y salud de los trabajadores

Data Analysis using Self-Organizing Maps

Visualisation des données de grandes dimensions au moyen de l'algorithme de Kohonen

Dynamical Equilibrium, trajectories study in an economical system. The case of the labor market.

Equilibre dynamique, étude de trajectoires dans un système économique. Le cas du marché du travail.

Prototype Based Classification Using Information Theoretic Learning.

Mathematical Aspects of the Kohonen algorithm

Missing values : processing with the Kohonen algorithm

The "profilograph": a toolbox for the analysis and segmentation of gas load curves

TRAITEMENT DES DONNEES MANQUANTES AU MOYEN DE L'ALGORITHME DE KOHONEN

Efficient estimators : the use of neural networks to construct pseudo panels

Double SOM for long-term time series prediction

Bootstrap for neural model selection

Anomaly Detection for Bivariate Signals

Detection of Abnormal Flights Using Fickle Instances in SOM Maps

Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring

Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages

Professional Trajectories of Workers Using Disconnected Self-Organizing Maps

Aircraft engine fleet monitoring using Self-Organizing Maps and Edit Distance

Fault prediction in aircraft engines using Self-Organizing Maps

Consumer Profile Identification and Allocation

Cartes auto-organisatrices de Kohonen

Working times in atypical forms of employment: the special case of part-time work

Role of lateral inhibition in a real neural network

Sparse Weighted K-Means for Groups of Mixed-Type Variables