Nombre de documents

70

CV - Patrice Aknin


Article dans une revue20 documents

  • Hani El Assaad, Allou Same, Gérard Govaert, Patrice Aknin. A variational Expectation Maximisation algorithm for temporal data clustering. Computational Statistics & Data Analysis, 2016, 103, pp 206-228. <10.1016/j.csda.2016.05.007>. <hal-01381345>
  • Raissa Onanena, Latifa Oukhellou, Etienne Come, Samir Jemei, Denis Candusso, et al.. Fuel Cell Health Monitoring Using Self Organizing Maps. Chemical Engineering Transactions, AIDIC, 2013, pp 1021-1026. <10.3303/CET1333171>. <hal-00865214>
  • Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Computing, Springer Verlag, 2012, 16 (5), pp.741-754. <hal-00688783>
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and Applications, Springer Verlag, 2012, 15 (3), pp.313-326. <hal-00750589>
  • Allou Same, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin. Model-based clustering and segmentation of time series with changes in regime. Advances in Data Analysis and Classification, 2011, 5 (4), pp 301-321. <10.1007/s11634-011-0096-5>. <hal-01221024>
  • Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin. Model-based clustering and segmentation of time series with changes in regime. Advances in Data Analysis and Classification, Springer Verlag, 2011, 5 (4), pp.301-321. <hal-00657505>
  • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin. Modèle à processus latent et algorithme EM pour la régression non linéaire. Revue des Nouvelles Technologies de l'Information, Hermann, 2011, S1, pp.15-32. <hal-00657492>
  • L Bouillaut, O Francois, P Aknin, R Donat, S Bondeux, et al.. VirMaLab - Atelier Virtuel de Maintenance : Un outil d'aide à la décision pour l'optimisation des politiques de maintenance. Recherche transports sécurité, Springer-Verlag, 2011, 27 (4), pp 241-257. <10.1007/s13547-011-0022-4>. <hal-01006527>
  • Raissa Onanena, Latifa Oukhellou, Denis Candusso, Fabien Harel, Daniel Hissel, et al.. Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time. International Journal of Hydrogen Energy, Elsevier, 2011, 36 (2), pp. 1730-1739. <10.1016/j.ijhydene.2010.10.064>. <hal-00985761>
  • Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin. A dynamic bayesian network to represent discrete duration models. Neurocomputing / EEG Neurocomputing, Elsevier, 2010, 73 (4-6), pp.570-577. <hal-00425443>
  • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin. A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing, Elsevier, 2010, 73, pp.1210-1221. <hal-00485163>
  • R. Onanena, Latifa Oukhellou, Denis Candusso, Allou Same, Daniel Hissel, et al.. Estimation of fuel cell operating time for prédictive maintenance strategies. International Journal of Hydrogen Energy, Elsevier, 2010, vol.35 (n.15), pp 8022-9. <10.1016/j.ijhydene.2010.05.039>. <hal-00559459>
  • Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin. Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion. Engineering Applications of Artificial Intelligence, Elsevier, 2010, 23 (1), pp.117-128. <10.1016/j.engappai.2009.06.005>. <hal-00467941>
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Learning from partially supervised data using mixture models and belief functions. Pattern Recognition, Elsevier, 2009, 42 (3), pp.334-348. <hal-00448376>
  • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin. Time series modeling by a regression approach based on a latent process. Neural Networks, Elsevier, 2009, 22, pp.593-602. <10.1016/j.neunet.2009.06.040>. <hal-00447781>
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Learning from partially supervised data using mixture models and belief functions.. Pattern Recognition, Elsevier, 2009, 42 (3), pp.334-348. <10.1016/j.patcog.2008.07.014>. <hal-00446583>
  • Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin. Mixture-model-based signal denoising. Advances in Data Analysis and Classification, Springer Verlag, 2007, 1 (1), pp.39-51. <hal-00447038>
  • Allou Samé, Laurent Bouillaut, Patrice Aknin, Abdeljabbar Ben Salem. Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2007, 21 (3), pp.353-370. <10.3166/ria.21.353-370>. <hal-00175677>
  • Mohamed Bentoumi, Patrice Aknin, Gérard Bloch. On-line rail defect diagnostics with differential eddy current probes and specific detection processing. European Physical Journal: Applied Physics, EDP Sciences, 2003, 23 (3), pp.227-233. <10.1051/epjap:2003055>. <hal-00120867>
  • P. Aknin, F. Monteil, D. Placko. Modélisation d'une structure multicapteur à courants de Foucault destinée à l'analyse de profil. Revue de Physique Appliquee, 1989, 24 (2), pp.227-242. <10.1051/rphysap:01989002402022700>. <jpa-00246045>

Communication dans un congrès49 documents

  • Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin, Anne Barros. A specific semi-markovian dynamic bayesian network estimating residual useful life. 16th ASMDA Conference, Jun 2015, LE PIREE, Greece. 13 p, 2015. <hal-01217338>
  • Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin, Anne Barros. A specific Dynamic Bayesian Network for a prognosis based maintenance strategy. The Second International Conference on Railway Technology: Research, Development and Maintenance, Apr 2014, France. 18p, 2014. <hal-01048593>
  • Rony Rozas, Laurent Bouillaut, Patrice Aknin, Guillaume Branger. How to keep optimal maintenance strategies with a dynamic optimization approach?. The Second International Conference on Railway Technology: Research, Development and Maintenance, Apr 2014, France. 12p, 2014. <hal-01048635>
  • Etienne Come, Njato Andry Randriamanamihaga, Latifa Oukhellou, Patrice Aknin. Spatio-temporal Analysis of Dynamic Origin-Destination Data Using Latent Dirichlet Allocation: Application to Vélib' Bike Sharing System of Paris. TRB 93rd Annual meeting, Jan 2014, France. TRANSPORTATION RESEARCH BOARD, 19p, 2014. <hal-01052951>
  • Johanna Baro, Etienne Come, Patrice Aknin, Olivier Bonin. Hierarchical and multiscale Mean Shift segmentation of population grid. 22th European Symposium on Artificial Neural Networks (ESANN 2013), Apr 2013, Belgium. 6p, 2013. <hal-00863318>
  • Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin. Hierarchical and multiscale Mean Shift segmentation of population grid. 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. <hal-00959955>
  • Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin, Charles Eric Fonlladosa. Floating Train Data Systems for Preventive Maintenance: A Data Mining Approach. International Conference on Industrial Engineering and Systems Management (IESM 2013), Oct 2013, Morocco. 7p, 2013. <hal-00914313>
  • Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin, Anne Barros, Rony Rozas. A prognostic algorithm based on probabilistic graphical models for a periodically observable system. European Safety and Reliability Conference (ESREL 2013), Sep 2013, France. 8p, 2013. <hal-00914440>
  • Nicolas Cheifetz, Allou Same, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu. A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures. The 12th IEEE International Conference on Machine Learning and Applications, Dec 2013, France. 6p, 2013. <hal-00959274>
  • Hani El Assaad, Allou Same, Gérard Govaert, Patrice Aknin. Un modèle dynamique à variables latentes pour le partitionnement de données temporelles. 45e Journées de Statistique (JdS 2013), May 2013, Toulouse, France. pp.1-6, 2013. <hal-00864021>
  • Josquin Foulliaron, Laurent Bouillaut, Anne Barros, Patrice Aknin, Rony Rozas. A Probabilistic Graphical Models approach for rail prognosis based maintenance in a periodic observations context. International Conference on Railway Engineering, Jul 2013, France. 14p, 2013. <hal-00863607>
  • Rony Rozas, Laurent Bouillaut, Patrice Aknin, Allou Same, Olivier Francois, et al.. A rollingstock door system’s dynamic maintenance strategies based on a sensitivity analysis through bayesian networks. 10th World Congress on Railway Research (WCRR 2013), Nov 2013, Australia. 8p, 2013. <hal-00863687>
  • Yufei Han, Olivier Francois, Allou Same, Laurent Bouillaut, Latifa Oukhellou, et al.. Online predictive diagnosis of electrical train door systems. 10th World Congress on Railway Research (WCRR 2013), Nov 2013, Australia. 6p, 2013. <hal-00863798>
  • Allou Same, Hani El Assaad, Patrice Aknin. State-space modeling of a sequence of curves application to the condition condition monitoring of railway switches. 23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Sep 2013, France. 6p, 2013. <hal-00863993>
  • Allou Same, Hani El Assaad, Patrice Aknin, Gérard Govaert, Marc Antoni. A mixture of Kalman filters for online monitoring of railway switches. 12th International Conference on Railway Engineering, Jul 2013, london, United Kingdom. 9p, 2013. <hal-00863999>
  • Hani El Assaad, Allou Same, Gérard Govaert, Patrice Aknin. Model-Based Clustering of Temporal Data. 23rd International Conference on Artificial Neural Networks (ICANN 2013), Sep 2013, Sofia, Bulgaria. pp.9-16, 2013. <hal-00864065>
  • Hani El Assaad, Allou Same, Patrice Aknin. A Dynamic clustering approach for tracking the evolution of railway components. International Conference on Condition Monitoring (CM 2013), Jun 2013, Poland. 9p, 2013. <hal-00864136>
  • Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin. Mining floating train data sequences for temporal association rules within a predictive maintenance framework. IEEE Industrial Conference on Data Mining (ICDM 2013), Dec 2013, France. 15p, 2013. <hal-00881595>
  • J Baro, E Come, P Aknin, J-P Hubert, Olivier Bonin. Segmentation multi-échelle de grilles régulières de population pour l'identification des formes urbaines. 35ème journée ISS France, Feb 2012, Paris, France. <hal-00852892>
  • Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert. Classification automatique de données temporelles en classes ordonnées. 44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgique. pp.1-6, 2012. <hal-00933403>
  • J Baro, E Come, P Aknin, J-P Hubert, Olivier Bonin. Identification de formes urbaines à partir de grilles régulières de population. Colloque Images et Villes, Dec 2011, Paris, France. <hal-00852891>
  • L Bouillaut, P Aknin, R Donat, S Bondeux. VirMaLab - A generic approach for optimizing maintenance policies of complex systems. WCRR 2011 - 9th World Congress on Railway Research, May 2011, LILLE, France. WCRR, 11p, 2011. <hal-01221047>
  • N Cheifetz, Ab Same, P Aknin, E De Verdalle. A pattern recognition approach for anomaly detection on buses brake system. 14th International IEEE Conference on Intelligent Transportation Systems, Oct 2011, France. INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS - IEEE, pp 266-271, 2011. <hal-00907728>
  • I Ayadi, L Bouillaut, P Aknin, P Siarry. Optimal preventive maintenance schedules using specific genetic algorithms and probabilistic graphical model. 9th European Safety and Reliability International Conference, ESREL'11, Sep 2011, France. ESRA, 8p, 2011. <hal-00908245>
  • Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert. Classification automatique de données temporelles en classes ordonnées. 43èmes Journées de Statistique, SFdS, May 2011, Gammarth, Tunisie. pp.1-6, 2011. <hal-00657499>
  • Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert. Model-based clustering with Hidden Markov Model regression for time series with regime changes. 2011 International Joint Conference on Neural Networks, Jul 2011, San Jose, California, United States. pp.2814-2821, 2011. <hal-00657496>
  • Allou Same, Faicel Chamroukhi, Patrice Aknin, Marc Antoni. A dynamic probabilistic modeling of railway switches operating states. WCRR 2011 - 9th World Congress on Railway Research, May 2011, LILLE, France. WCRR, 6p, 2011. <hal-01221033>
  • R Donat, L Bouillaut, P Aknin, P Leray, S Bondeux. VirMaLab - Une approche générique pour modéliser la maintenance de systèmes complexes. 17ème Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Lambda Mu 2010, Oct 2010, France. Institut pour la maîtrise des risques et la sûreté de fonctionnement, 8p, 2010. <hal-00914598>
  • Ines Ayadi, Laurent Bouillaut, Patrice Aknin, Patrick Siarry. Optimisation par algorithme génétique de la maintenance préventive dans un contexte de modélisation par modèles graphiques probabilistes. Institut Pour la Maitrise des Risques. Lambda Mu 17, 17ème Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Oct 2010, La Rochelle, France. 10p, 2010. <hal-00615219>
  • Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux. Semi-supervised feature extraction using independent factor analysis. ICOR, 9th International Conference on Operations Research, Feb 2010, La Havanne, Cuba. 8p, 2010. <hal-00615209>
  • Zohra-Leïla Cherfi, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux. Analyse en composantes indépendantes parcimonieuse pour le diagnostic de systèmes répartis. XXe colloque GRETSI, 2009, Dijon, France. 2009. <hal-00450986>
  • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin. A regression model with a hidden logistic process for feature extraction from time serie. IJCNN'09 International Joint Conference on Neural Networks, Jun 2009, Atlanta, United States. pp.1-8, 2009. <hal-00447844>
  • Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux. Noiseless Independent Factor Analysis with mixing constraints in a semi-supervised framework. Application to railway device fault diagnosis.. International Conference on Artificial Neural Networks (ICANN),, Sep 2009, Limassol, Cyprus. 5769, pp.416-425, 2007, Lecture Notes in Computer Science. <10.1007/978-3-642-04277-5_42>. <hal-00446628>
  • Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux. Partially-supervised learning in Independent Factor Analysis. European Symposium on Artificial Neural Networks (ESANN), Apr 2009, Bruges, Belgium. pp.53--58, 2009. <hal-00446716>
  • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin. A regression model with a hidden logistic process for signal parametrization. 17th European Symposium on Artificial Neural Networks, Advances in Computational Intelligence and Learning, Apr 2009, Bruges, Belgium. pp.1-6, 2009. <hal-00447806>
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. International Conference on Artificial Neural Network, Sep 2009, Limassol, Cyprus. pp.416-425, 2009. <hal-00461363>
  • Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin. Réseaux bayésiens dynamiques pour la représentation de modèles de durée en temps discret. Journées Francophone sur les Réseaux Bayésiens, May 2008, Lyon, France. <hal-00259009>
  • Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray. Reliability analysis using graphical duration models. ARES 2008, 2008, Barcelona, Spain. pp.795-800, 2008. <hal-00412299>
  • Laurent Bouillaut, Olivier François, Philippe Leray, Patrice Aknin, Stéphane Dubois. Dynamic bayesian networks modelling maintenance strategies: Prevention of broken rails. WCCR'08, 2008, Seoul, South Korea. 2008. <hal-00412291>
  • Laurent Bouillaut, Roland Donat, Patrice Aknin, Philippe Leray. Approches markovienne et semi-markovienne pour la modélisation de la fiabilité et des actions de maintenance d'un système ferroviaire. Workshop Surveillance, Sûreté et Sécurité des Grands Systèmes (3SGS'08), 2008, Troyes, France. <hal-00412902>
  • Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray, Sandrine Bondeux. Specific graphical models for analyzing the reliability. MED'08, 2008, Ajaccio, France. pp.621-626, 2008. <hal-00412495>
  • Olivier François, Laurent Bouillaut, Patrice Aknin, Philippe Leray, S. Dubois. Approche semi-markovienne pour la modélisation de stratégies de maintenance: application à la prévention de rupture du rail. MOSIM'2008, 2008, Paris, France. pp.CDROM, 2008. <hal-00412887>
  • Etienne Côme, Cherfi Zohra, Latifa Oukhellou, Patrice Aknin. Semi-supervised IFA with prior knowledge on the mixing process. An application to a railway device diagnosis.. International Conference on Machine Learning and Application, Dec 2008, san-diego, United States. pp.415 - 420, 2008. <hal-00461359>
  • Zineb Mehel-Saidi, Gérard Bloch, Patrice Aknin. A Subspace Method for Detection and Classification of Rail Defects. 16th European Signal Processing Conference, EUSIPCO-2008, Aug 2008, Lausanne, Switzerland. pp.CDROM, 2008. <hal-00319120>
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Mixture model estimation with soft labels. Fourth International Workshop on Soft Methods in Probabilities and Statistics, Sep 2008, Toulouse, France. Springer, 48, pp.165-174, 2008, Advances in Soft Computing. <hal-00446806>
  • Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray, D. Levy. A generic approach to model complex system reliability using graphical duration models. Mathematical Methods in Reliability: Methodology and Practice (MMR 2007),, 2007, Glasgow, United Kingdom. <hal-00412501>
  • Latifa Oukhellou, Patrice Aknin, Eric Deléchelle. Railway infrastructure system diagnosis using Empirical Mode Decomposition and Hilbert transform. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2006, Toulouse, France. pp.III, 2006, <10.1109/ICASSP.2006.1660866>. <hal-00665551>
  • Robert Joumard, Patrice Aknin, Philippe Duchène, Bernard Rolland. Recherche à visée sociétale, un enjeu pour nous tous. Séminaire Inrets, Mar 2004, Autrans, France. <hal-00917022>
  • Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millérioux, Patrice Aknin. Ho–Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers –An Application. F. Yin, J. Wang and C. Guo. International Symposium on Neural Networks, Aug 2004, Dalian, China. Springer Berlin / Heidelberg, 3173, pp.524-530, 2004, Advances in Neural Networks – ISNN 2004, Proceedings, Part I. <10.1007/b99834>. <hal-00120606>

Chapitre d'ouvrage1 document

  • Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray. A dynamic graphical model to represent complex survival distributions. Advances in Mathematical Modeling for Reliability, IOS Press, pp.17-24, 2008. <hal-00412259>