Patrice Aknin

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		⇣		Strengthening the generative power of a scientific and industrial ecosystem: the case of the SystemX Institute for Technological Research (IRT), a "double impact Research and Technology Organization (RTO)"?, Agathe Gilain, Pascal Le Masson, Benoit Weil, Nafissa Jibet, Patrice Aknin ■, Alexandre Bekhradi, Paul Labrogere ■, EURAM - European Academy of Management 2022, Zurich, Switzerland
		⇣		Apprentissage automatique sur des données de type graphe utilisant le plongement de Poincaré et les algorithmes stochastiques riemanniens, Hatem Hajri, Hadi Zaatiti, Georges Hébrail, Patrice Aknin ■, Conférence Nationale d'Intelligence Artificielle Année 2019 2019, Toulouse, France
		⇣		Modèle LSTM encodeur-prédicteur pour la prévision court-terme de l'affluence dans les transports collectifs, Kevin Pasini, Mostepha Khouadjia, Allou Same, Fabrice Ganansia, Patrice Aknin ■, Latifa Oukhellou, CAP 2019, Conférence sur l'Apprentissage Automatique 2019, Toulouse, France
		⇣		DESIGNING THE MISSING LINK BETWEEN SCIENCE AND INDUSTRY: ORGANIZING PARTNERSHIP BASED ON DUAL GENERATIVITY, Milena Klasing Chen, Patrice Aknin ■, Lilly-Rose Lagadec, Dominique Laousse, Pascal Le Masson, Benoit Weil, International Conference on Engineering Design 2017, Vancouver, Canada
		⇣		Dynamic bayesian networks for reliability analysis: from a Markovian point of view to semi-markovian approaches, Josquin Foulliaron, Laurent Bouillaut, Anne Barros, Patrice Aknin, SAFEPROCESS'15 - 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes 2015, PARIS, France
		⇣		A specific semi-markovian dynamic bayesian network estimating residual useful life, Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin, Anne Barros, 16th ASMDA Conference 2015, LE PIREE, Greece
		⇣		Spatio-temporal Analysis of Dynamic Origin-Destination Data Using Latent Dirichlet Allocation: Application to Vélib' Bike Sharing System of Paris, Etienne Come, Njato Andry Randriamanamihaga, Latifa Oukhellou, Patrice Aknin, TRB 93rd Annual meeting 2014, France
		⇣		How to keep optimal maintenance strategies with a dynamic optimization approach?, Rony Rozas, Laurent Bouillaut, Patrice Aknin, Guillaume Branger, The Second International Conference on Railway Technology: Research, Development and Maintenance 2014, France
		⇣		A specific Dynamic Bayesian Network for a prognosis based maintenance strategy, Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin, Anne Barros, The Second International Conference on Railway Technology: Research, Development and Maintenance 2014, Ajaccio, France
			⇣	Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework, Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin, Charles Eric Fonlladosa, ITSC 2014
		⇣		Hierarchical and multiscale Mean Shift segmentation of population grid, Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin, 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013) 2013, Bruges, Belgium
		⇣	⇣	A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures, Nicolas Cheifetz, Allou Same, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu, ICMLA 2013, France
		⇣		A prognostic algorithm based on probabilistic graphical models for a periodically observable system, Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin, Anne Barros, Rony Rozas, European Safety and Reliability Conference (ESREL 2013) 2013, Amsterdam, Netherlands
		⇣		Floating Train Data Systems for Preventive Maintenance: A Data Mining Approach, Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin, Charles Eric Fonlladosa, International Conference on Industrial Engineering and Systems Management (IESM 2013) 2013, Morocco
		⇣	⇣	Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework, Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin, ICDM 2013, France
		⇣		A Dynamic clustering approach for tracking the evolution of railway components, Hani El Assaad, Allou Same, Patrice Aknin, International Conference on Condition Monitoring (CM 2013) 2013, Poland
		⇣	⇣	Model-Based Clustering of Temporal Data, Hani El Assaad, Allou Same, Gerard Govaert, Patrice Aknin, ICANN 2013, Sofia, Bulgaria
		⇣		Un modèle dynamique à variables latentes pour le partitionnement de données temporelles, Hani El Assaad, Allou Same, Gérard Govaert, Patrice Aknin, 45e Journées de Statistique (JdS 2013) 2013, Toulouse, France
		⇣		A mixture of Kalman filters for online monitoring of railway switches, Allou Same, Hani El Assaad, Patrice Aknin, Gérard Govaert, Marc Antoni, 12th International Conference on Railway Engineering 2013, london, United Kingdom
		⇣		State-space modeling of a sequence of curves application to the condition condition monitoring of railway switches, Allou Same, Hani El Assaad, Patrice Aknin, 23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013) 2013, France
		⇣		Online predictive diagnosis of electrical train door systems, Yufei Han, Olivier Francois, Allou Same, Laurent Bouillaut, Latifa Oukhellou, Patrice Aknin, Guillaume Branger, 10th World Congress on Railway Research (WCRR 2013) 2013, Australia
		⇣		A rollingstock door system’s dynamic maintenance strategies based on a sensitivity analysis through bayesian networks, Rony Rozas, Laurent Bouillaut, Patrice Aknin, Allou Same, Olivier Francois, Guillaume Branger, 10th World Congress on Railway Research (WCRR 2013) 2013, Australia
		⇣		A Probabilistic Graphical Models approach for rail prognosis based maintenance in a periodic observations context, Josquin Foulliaron, Laurent Bouillaut, Anne Barros, Patrice Aknin, Rony Rozas, International Conference on Railway Engineering 2013, Beijing, China
			⇣	Hierarchical and multiscale Mean Shift segmentation of population grids, Johanna Baro, Etienne Come, Patrice Aknin, Olivier Bonin, ESANN 2013
		⇣		Fault-diagnosis of PEM fuel cells using electrochemical spectroscopy impedance, Raïssa Onanena, Latifa Oukhellou, Etienne Côme, Denis Candusso, Daniel Hissel, Patrice Aknin, Power Plant and Power Systems Control symposium 2012, Toulouse, France
		⇣		Classification automatique de données temporelles en classes ordonnées, Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert, 44e Journées de Statistique, SFdS 2012, Bruxelles, Belgium
			⇣	A CUSUM approach for online change-point detection on curve sequences, Nicolas Cheifetz, Allou Same, Patrice Aknin, Emmanuel De Verdalle, ESANN 2012
			⇣	A sequential testing approach for change-point detection on bus door systems, Nicolas Cheifetz, Allou Same, Patrice Aknin, Emmanuel De Verdalle, ITSC 2012
			⇣	Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework, Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin, Charles Eric Fonlladosa, Kevin Prendergast, ITSC 2012
		⇣		A dynamic probabilistic modeling of railway switches operating states, Allou Same, Faicel Chamroukhi, Patrice Aknin, Marc Antoni, WCRR 2011 - 9th World Congress on Railway Research 2011, LILLE, France
		⇣	⇣	Semi-supervised Feature Extraction Using Independent Factor Analysis, Latifa Oukhellou, Etienne Come, Patrice Aknin, Thierry Denoeux, ICMLA 2011, La Havanne, Cuba
			⇣	A pattern recognition approach for anomaly detection on buses brake system, Nicolas Cheifetz, Allou Same, Patrice Aknin, Emmanuel De Verdalle, ITSC 2011
			⇣	Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device, Zohra Leila Cherfi, Latifa Oukhellou, Etienne Come, Thierry Denoeux, Patrice Aknin, NL-MUA 2011
		⇣		Optimisation par algorithme génétique de la maintenance préventive dans un contexte de modélisation par modèles graphiques probabilistes, Ines Ayadi, Laurent Bouillaut, Patrice Aknin, Patrick Siarry, Lambda Mu 17, 17ème Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement 2010, La Rochelle, France
		⇣	⇣	Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis, Etienne Come, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin, ICANN 2009, Limassol, Cyprus
		⇣		Analyse en composantes indépendantes parcimonieuse pour le diagnostic de systèmes répartis, Zohra-Leïla Cherfi, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux, XXe colloque GRETSI 2009, Dijon, France
		⇣		A regression model with a hidden logistic process for feature extraction from time serie, Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin, IJCNN'09 International Joint Conference on Neural Networks 2009, Atlanta, United States
		⇣	⇣	Partially-supervised learning in Independent Factor Analysis, Etienne Come, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux, ESANN 2009, Bruges, Belgium
			⇣	Railway device diagnosis using sparse Independent Component Analysis, Zohra Leila Cherfi, Etienne Come, Latifa Oukhellou, Patrice Aknin, EUSIPCO 2009
			⇣	Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context, Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel, ICMLA 2009
		⇣		Approche semi-markovienne pour la modélisation de stratégies de maintenance: application à la prévention de rupture du rail, Olivier François, Laurent Bouillaut, Patrice Aknin, Philippe Leray, S. Dubois, MOSIM'2008 2008, Paris, France
		⇣	⇣	Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis, Etienne Come, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin, ICMLA 2008, san-diego, United States
		⇣	⇣	Mixture Model Estimation with Soft Labels, Etienne Come, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin, SMPS 2008, Toulouse, France
		⇣		Approches markovienne et semi-markovienne pour la modélisation de la fiabilité et des actions de maintenance d'un système ferroviaire, Laurent Bouillaut, Roland Donat, Patrice Aknin, Philippe Leray, Workshop Surveillance, Sûreté et Sécurité des Grands Systèmes (3SGS'08) 2008, Troyes, France
		⇣		Specific graphical models for analyzing the reliability, Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray, Sandrine Bondeux, MED'08 2008, Ajaccio, France
		⇣	⇣	Reliability Analysis using Graphical Duration Models, Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray, ARES 2008, Barcelona, Spain
		⇣		Dynamic bayesian networks modelling maintenance strategies: Prevention of broken rails, Laurent Bouillaut, Olivier François, Philippe Leray, Patrice Aknin, Stéphane Dubois, WCCR'08 2008, Seoul, Korea, Republic of
		⇣	⇣	A subspace method for detection and classification of rail defects, Zineb Mehel Saidi, Gerard Bloch, Patrice Aknin, EUSIPCO 2008, Lausanne, Switzerland
		⇣		Réseaux bayésiens dynamiques pour la représentation de modèles de durée en temps discret, Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin, Journées Francophone sur les Réseaux Bayésiens 2008, Lyon, France
		⇣		A generic approach to model complex system reliability using graphical duration models, Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray, D. Levy, Mathematical Methods in Reliability: Methodology and Practice (MMR 2007), 2007, Glasgow, United Kingdom
		⇣	⇣	Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform, Latifa Oukhellou, Patrice Aknin, Eric Delechelle, ICASSP 2006, Toulouse, France
			⇣	Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system, Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin, FUSION 2006
		⇣		Recherche à visée sociétale, un enjeu pour nous tous, Robert Joumard, Patrice Aknin, Philippe Duchène, Bernard Rolland, Séminaire Inrets 2004, Autrans, France
		⇣		Ho–Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers –An Application, Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millérioux, Patrice Aknin, International Symposium on Neural Networks 2004, Dalian, China
			⇣	Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks, Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin, ICPR 2004
			⇣	Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application, Fabien Lauer, Mohamed Bentoumi, Gerard Bloch, Gilles Millerioux, Patrice Aknin, ISNN 2004
			⇣	Use of causal probabilistic networks for the improvement of the maintenance of railway infrastructure, Laurent Bouillaut, Philippe Weber, Ben Salem, Patrice Aknin, SMC 2004
			⇣	Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context, Francoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet, IWANN 2001
			⇣	A new decision criterion for feature selection application to the classification of non destructive testing signatures, Latifa Oukhellou, Patrice Aknin, Herve Stoppiglia, Gerard Dreyfus, EUSIPCO 1998

Journal articles

		⇣		L'ouverture des données, une opportunité pour la recherche sur les transports et la mobilité, Patrice Aknin ■, Etienne Come, Latifa Oukhellou, Transports urbains : mobilité, réseaux, territoires 2018
		⇣		A dynamic Bayesian network approach for prognosis computations on discrete states systems, Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin ■, Anne Barros, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 2017
		⇣		An Extension Graphical Duration Models Integrating Conditional Sojourn Time Distributions, Josquin Foulliaron, Laurent Bouillaut, Patrice Aknin ■, Anne Barros, International Journal of Performability Engineering 2017
		⇣		A variational Expectation Maximisation algorithm for temporal data clustering, Hani El Assaad, Allou Same, Gérard Govaert, Patrice Aknin, Computational Statistics and Data Analysis 2016
			⇣	A variational Expectation-Maximization algorithm for temporal data clustering, Hani El Assaad, Allou Same, Gerard Govaert, Patrice Aknin, Comput. Stat. Data Anal. 2016
		⇣		Fuel Cell Health Monitoring Using Self Organizing Maps, Raissa Onanena, Latifa Oukhellou, Etienne Come, Samir Jemei, Denis Candusso, Daniel Hissel, Patrice Aknin, Chemical Engineering Transactions 2013
		⇣	⇣	Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints, Etienne Come, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin, Pattern Analysis and Applications 2012
		⇣	⇣	Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis, Zohra Leila Cherfi, Latifa Oukhellou, Etienne Come, Thierry Denoeux, Patrice Aknin, Soft Computing 2012
		⇣		Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time, Raissa Onanena, Latifa Oukhellou, Denis Candusso, Fabien Harel, Daniel Hissel, Patrice Aknin, International Journal of Hydrogen Energy 2011
		⇣	⇣	A dynamic Bayesian network to represent discrete duration models, Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin, Neurocomputing 2010
		⇣		Estimation of fuel cell operating time for prédictive maintenance strategies, R. Onanena, Latifa Oukhellou, Denis Candusso, Allou Same, Daniel Hissel, Patrice Aknin, International Journal of Hydrogen Energy 2010
		⇣		Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion, Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin, Engineering Applications of Artificial Intelligence 2010
			⇣	Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion, Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin, Eng. Appl. Artif. Intell. 2010
		⇣	⇣	Learning from partially supervised data using mixture models and belief functions, Etienne Come, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin, Pattern Recognition 2009
		⇣	⇣	Mixture-model-based signal denoising, Allou Same, Latifa Oukhellou, Etienne Come, Patrice Aknin, Advances in Data Analysis and Classification 2007
		⇣		Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée, Allou Samé, Laurent Bouillaut, Patrice Aknin, Abdeljabbar Ben Salem, Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle 2007
			⇣	Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée, Allou Same, Laurent Bouillaut, Patrice Aknin, Ben Salem, Rev. d'Intelligence Artif. 2007
		⇣		On-line rail defect diagnostics with differential eddy current probes and specific detection processing, Mohamed Bentoumi, Patrice Aknin, Gérard Bloch, European Physical Journal: Applied Physics 2003
			⇣	Hybrid training of radial basis function networks in a partitioning context of classification, Latifa Oukhellou, Patrice Aknin, Neurocomputing 1999

Editorship

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A dynamic graphical model to represent complex survival distributions, Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray, 2008

Misc

		⇣		Confiance.ai Days 2022. Booklet of articles & posters, Patrice Aknin ■, Bertrand Braunschweig, Loic Cantat, Faïcel Chamroukhi, Georges Hebrail, Frédéric Jurie, Angelique Loesch, Juliette Mattioli, Guillaume Oller, 2023
		⇣		Confiance.ai Days 2021 Poster Booklet, Aurélie Bourrat, Bertrand Braunschweig, Loic Cantat, Lionel Cordesses, Georges Hebrail, Frédéric Jurie, Morgane Toumazet, Patrice Aknin ■, 2021
		⇣	⇣	Model-based clustering and segmentation of time series with changes in regime, Allou Same, Faicel Chamroukhi, Gerard Govaert, Patrice Aknin, Advances in Data Analysis and Classification 2013
		⇣	⇣	Model-based clustering with Hidden Markov Model regression for time series with regime changes, Faicel Chamroukhi, Allou Same, Patrice Aknin, Gerard Govaert, CoRR 2013, San Jose, California, United States
		⇣	⇣	Modèle à processus latent et algorithme EM pour la régression non linéaire, Faicel Chamroukhi, Allou Same, Gerard Govaert, Patrice Aknin, Revue des Nouvelles Technologies de l'Information 2013
		⇣	⇣	A hidden process regression model for functional data description. Application to curve discrimination, Faicel Chamroukhi, Allou Same, Gerard Govaert, Patrice Aknin, Neurocomputing 2013
		⇣	⇣	A regression model with a hidden logistic process for signal parametrization, Faicel Chamroukhi, Allou Same, Gerard Govaert, Patrice Aknin, CoRR 2013, Bruges, Belgium
		⇣	⇣	Time series modeling by a regression approach based on a latent process, Faicel Chamroukhi, Allou Same, Gerard Govaert, Patrice Aknin, Neural Networks 2013
			⇣	A regression model with a hidden logistic process for feature extraction from time series, Faicel Chamroukhi, Allou Same, Gerard Govaert, Patrice Aknin, CoRR 2013
			⇣	Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time, Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel, CoRR 2013