Marie Cottrell
Publications
Publications
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Machine Learning and Data-Driven Approaches in Spatial Statistics : a case study of housing price estimationWSOM 2022 Workshop on Self-Organizing Maps (WSOM+), Jul 2022, PRAGUE, Czech Republic |
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Machine Learning and Data-Driven Approaches in Spatial Statistics: A Case Study of Housing Price EstimationWSOM 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⟩ |
Quantitative Methods for Big Data14th Conference On Operation Research, Universidad de la Habana, Mar 2020, Havana, Cuba |
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Métodos Cuantitativos para Big DataTLAIO, Juan Antonio Marmolejo Martin, Universidad de Granada, Sep 2019, Melilla, España |
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Hidden-Markov models for time series of continuous proportions with excess zeros14th International Work-Conference on Artificial Neural Networks (IWANN 2017), Jun 2017, Cadix, Spain |
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Multidimensional urban segregation : an exploratory case study12th 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 |
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Theoretical and applied aspects of the self-organizing mapsWSOM 2016, Jan 2016, Houston, United States. pp.3-26, ⟨10.1007/978-3-319-28518-4_1⟩ |
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Search Strategies for Binary Feature Selection for a Naive Bayes ClassifierEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.291-296 |
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Search for Meaning Through the Study of Co-occurrences in TextsInternational Work-Conference on Artificial Neural Networks, Jun 2015, Palma de Mallorca, Spain |
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Anomaly Detection Based on Indicators AggregationInternational Joint Conference on Neural Networks (IJCNN 2014), Jul 2014, Beijing, China. pp.2548--2555, ⟨10.1109/IJCNN.2014.6889841⟩ |
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Anomaly Detection Based on Aggregation of Indicators23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.64-71 |
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A Methodology for the Diagnostic of Aircraft Engine Based on Indicators AggregationProceedings of the 14th Industrial Conference, ICDM 2014, Jul 2014, St. Petersburg, Russia. pp.144-158, ⟨10.1007/978-3-319-08976-8_11⟩ |
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On-line relational SOM for dissimilarity dataWSOM 2012, Dec 2012, Santiago, Chile. pp.13-22 |
Professional trajectories of workers using disconnected self-organizing maps10 international Conference on Operations Research, Mar 2012, Habana, Cuba |
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Professional Trajectories of Workers Using Disconnected Self-Organizing Maps9th Workshop on Self-Organizing Maps (WSOM 2012), Dec 2012, Chile. 10p |
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Bayesian inference for outlier detection in vibration spectra with small learning datasetSurveillance 6, Oct 2011, Compiègne, France. http://www.surveillance6.fr/ |
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Trajectoires d'emploi identifiées à l'aide de cartes auto-organisées classifiantes. Etude réalisée avec le Panel Study of Income Dynamics, 1993-2003Modèles et apprentissages en Sciences Humaines et Sociales, Jun 2010, Lille, France. pp.XX-XX |
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Linear smoothing of FRF for aicraft engine vibration monitoringInternational Conference on Noise and Vibration Engineering, Sep 2010, Leuven, Belgium. ID126, http://www.isma-isaac.be/publications/ |
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Aircraft engine health monitoring using Self-Organizing Maps10th Industrial Conference, ICDM 2010,, Jul 2010, Berlin, Germany. pp.405-417, ⟨10.1007/978-3-642-14400-4⟩ |
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Trajectory Clustering for Vibration Detection in Aircraft EnginesIndustrial Conference on Data mining 2010, Jul 2010, Berlin, Germany. pp.362-375 |
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Self Organizing Star (SOS) for health monitoringEuropean conference on artificial neural networks,, Apr 2010, Bruges, Belgium. pp.99-104 |
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Random model of vibrations for Foreign Object Damage detection in a civil aircraft engineMachine Learning for Aerospace International Workshop, Jul 2009, Marseille, France. pp.149-152 |
Random model of vibrations for Foreign Object Damage detection in a civil aircraft engineProc. of the International Workshop on Machine Learning for Aerospace, MLA'09, 2009, Marseille, France. pp.149-152 |
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Applicacion de las redes de Kohonen a un estudio sobre condiciones de bienestar y salud de los trabajadoresXVI Simposio Internacional de Metodos Matematicas Aplicados a las Ciencias, Feb 2008, Costa Rica. pp.166-172 |
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L'algorithme de Kohonen et ses applications en statistiqueJournées de Statistiques de laa Faculté de Mathématiques d'Alger, 2008, Alger, Algeria |
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Reconstruction and Classification of trajectories in the market labor8th Conference on Operation Research, Feb 2008, La Habana, Cuba |
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Data Analysis using Self-Organizing MapsEuropean Symposium on Time Series Prediction ESTS'08, Sep 2008, Porvoo, Finland |
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Visualisation des données de grandes dimensions au moyen de l'algorithme de KohonenJournées ATHIS Ecole Normale Supérieure Lyon, 2007, Lyon, France |
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Dynamical Equilibrium, trajectories study in an economical system. The case of the labor market.WSOM 2007, 6th International Workshop on Self-Organizing Maps Conference Proceedings, Bielefeld, Sep 2007, Bielefeld, Germany. pp.TUP-2 |
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Equilibre dynamique, étude de trajectoires dans un système économique. Le cas du marché du travail.MASHS 2007, May 2007, Brest, France. pp.Cottrell |
Prototype Based Classification Using Information Theoretic Learning.13th International Conference Neural Information Processing (ICONIP 2006), Oct 2006, Hong Kong, China. pp.40-49, ⟨10.1007/11893257_5⟩ |
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Mathematical Aspects of the Kohonen algorithm7th International Conference on Operations Research, 2006, The Habana, Cuba |
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Missing values : processing with the Kohonen algorithmASMDA 2005, 2005, Brest, France. p 489-496 |
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The "profilograph": a toolbox for the analysis and segmentation of gas load curvesSep 2005, pp.447-454 |
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Double quantization forecasting method for filling missing data in the CATS Time Series2004 IEEE International Joint Conference on Neural Networks, Jul 2024, Budapest, Hungary. pp.1635-1640 |
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Double SOM for long-term time series prediction2003, pp.35-40 |
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TRAITEMENT DES DONNEES MANQUANTES AU MOYEN DE L'ALGORITHME DE KOHONEN2003, pp.201-217 |
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Efficient estimators : the use of neural networks to construct pseudo panels2003, pp.331-339 |
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Bootstrap for neural model selection8th European Symposium on Artificial Neural Networks (ESANN 2000), Apr 2000, Bruges, Belgium. pp.61-68 |
Modélisation d'un réseau de neurones biologiques. Le système nerveux olfactifJournée de la société française de biométrie, May 1994, France |
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Modelisation des connexions antenne-lobe antennaire du systeme nerveux olfactif de l'insecte6. Journees, May 1992, Oleron, France |
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Auto-organisation d'un reseau de neurones13. Journees de Statistiques, May 1991, Strasbourg, France |
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Role of lateral inhibition in a real neural network1. European Conference, Jan 1991, L'Alpe d'Huez, France |
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Elements pour une modelisation du systeme nerveux olfactif de l'insecteNSI 90, May 1990, Aussois, France |
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A statistical approach for modelling the insect olfactory system15. Conference, Jul 1990, Budapest, Hungary |
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Anomaly Detection for Bivariate SignalsRojas 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⟩ |
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Detection of Abnormal Flights Using Fickle Instances in SOM MapsVellido 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⟩ |
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Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health MonitoringT. 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⟩ |
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Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle AgesP.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⟩ |
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Professional Trajectories of Workers Using Disconnected Self-Organizing MapsP.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⟩ |
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Aircraft engine fleet monitoring using Self-Organizing Maps and Edit DistanceLaaksonen 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 |
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Fault prediction in aircraft engines using Self-Organizing MapsJosé 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⟩ |
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Consumer Profile Identification and AllocationFrancisco 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⟩ |
Cartes auto-organisatrices de KohonenYounès Bennani. Apprentissage connexionniste, Hermes Science, pp.141-184, 2006, Informatique et systèmes d'information |
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Working times in atypical forms of employment: the special case of part-time workCédric Lesage et Marie Cottrell. Connectionist Approaches in Economics and Management Sciences, Kluwer, pp.111-129, 2003 |
Role of lateral inhibition in a real neural networkDemongeot, J. and Capasso, V. Mathematics applied to Biology and Medicine,, Wuerz Publishing Ltd, 7pp, 1993 |
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Modelisation du systeme nerveux olfactif de l'insecte par une approche neuromimetique. Aspects experimentaux, cognitifs et theoriquesAppel d'offres Sciences de la Cognition, 1990 |
Conférence invitée “Métodos estadísticos aplicados a la innovación y a la empresa”, TLAIO, Loja, Ecuador2016 |
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Éditorial du numéro spécial RNTI - MASHS 2011/2012 : Modèles et Apprentissage en Sciences Humaines et Sociales2013 |
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Use of an Hourglass Model in Neuronal Coding1999 |
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Analyzing and representing multidimensional quantitative and qualitative data: Demographic study of the Rhône valley. The domestic consumption of the Canadian families1999 |
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Probabilistic outlier detection in vibration spectra with small learning dataset2012 |
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Modélisation de réseaux de neurones par des chaînes de Markov et autres applicationsMathématiques [math]. Université Paris-Sud, 1988. Français. ⟨NNT : ⟩ |
Proceedings of 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) 201712th 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⟩ |
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Hidden-Markov Models for Time Series of Continuous Proportions with Excess ZerosSpringer, pp.198-209, 2017 |
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Neurosciences et Sciences de l'Ingénieur8. Journées Neurosciences et Sciences de l'Ingénieur, May 1996, Marly-le-Roi, France. n.p., 1996 |
Special Issue on WSOM+ 2017Neural Computing and Applications, 32, 2020, Neural Computing and Applications |