Patrice Aknin
Patrice Aknin
Scientific Director, IRT SystemX
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Cited by
Cited by
Learning from partially supervised data using mixture models and belief functions
E Côme, L Oukhellou, T Denoeux, P Aknin
Pattern recognition 42 (3), 334-348, 2009
Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion
L Oukhellou, A Debiolles, T Denœux, P Aknin
Engineering Applications of Artificial Intelligence 23 (1), 117-128, 2010
Model-based clustering and segmentation of time series with changes in regime
A Samé, F Chamroukhi, G Govaert, P Aknin
Advances in Data Analysis and Classification 5 (4), 301-321, 2011
A hidden process regression model for functional data description. Application to curve discrimination
F Chamroukhi, A Samé, G Govaert, P Aknin
Neurocomputing 73 (7-9), 1210-1221, 2010
Time series modeling by a regression approach based on a latent process
F Chamroukhi, A Samé, G Govaert, P Aknin
Neural Networks 22 (5-6), 593-602, 2009
Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time
R Onanena, L Oukhellou, D Candusso, F Harel, D Hissel, P Aknin
international journal of hydrogen energy 36 (2), 1730-1739, 2011
A dynamic Bayesian network to represent discrete duration models
R Donat, P Leray, L Bouillaut, P Aknin
Neurocomputing 73 (4-6), 570-577, 2010
Dedicated sensor and classifier of rail head defects
L Oukhellou, P Aknin, JP Perrin
Control Engineering Practice 7 (1), 57-61, 1999
Combined use of sensor data and structural knowledge processed by Bayesian network: Application to a railway diagnosis aid scheme
L Oukhellou, E Come, L Bouillaut, P Aknin
Transportation Research Part C: Emerging Technologies 16 (6), 755-767, 2008
Spatio-temporal analysis of dynamic origin-destination data using latent dirichlet allocation: Application to vélib'bike sharing system of paris
E Come, NA Randriamanamihaga, L Oukhellou, P Aknin
Estimation of fuel cell operating time for predictive maintenance strategies
R Onanena, L Oukhellou, D Candusso, A Same, D Hissel, P Aknin
international journal of hydrogen energy 35 (15), 8022-8029, 2010
On-line rail defect diagnostics with differential eddy current probes and specific detection processing
M Bentoumi, P Aknin, G Bloch
Active steering of railway wheelsets
P Aknin, JB Ayasse, A Devallez
12th IAVSD conference, 1991
Comparison of supervised self-organizing maps using euclidian or mahalanobis distance in classification context
F Fessant, P Aknin, L Oukhellou, S Midenet
International Work-Conference on Artificial Neural Networks, 637-644, 2001
Partially supervised independent factor analysis using soft labels elicited from multiple experts: Application to railway track circuit diagnosis
ZL Cherfi, L Oukhellou, E Côme, T Denœux, P Aknin
Soft computing 16 (5), 741-754, 2012
Combined use of partial least squares regression and neural network for diagnosis tasks
A Debiolles, L Oukhellou, P Aknin
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
B-scan ultrasonic image analysis for internal rail defect detection
Modified Fourier Descriptors: A new parametrization of eddy current signatures applied to the rail defect classification
L Oukhellou, P Aknin
III International workshop on advances in signal processing for non …, 1997
Mixture model estimation with soft labels
E Côme, L Oukhellou, T Denœux, P Aknin
Soft Methods for Handling Variability and Imprecision, 165-174, 2008
A regression model with a hidden logistic process for feature extraction from time series
F Chamroukhi, A Samé, G Govaert, P Aknin
2009 International Joint Conference on Neural Networks, 489-496, 2009
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