Patrice Aknin

Publication Activity (10 Years)

Years Active: 1998-2016
Publications (10 Years): 1

Top Topics

Partially Supervised

Bhattacharyya Coefficient

Regression Model

Top Venues

Publications

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
A variational Expectation-Maximization algorithm for temporal data clustering. Comput. Stat. Data Anal. 103 (2016)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa
Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework. ITSC (2014)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR (2013)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. CoRR (2013)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu
A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures. ICMLA (1) (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. CoRR (2013)
Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
Model-Based Clustering of Temporal Data. ICANN (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. CoRR (2013)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. ICDM (2013)
Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin
Hierarchical and multiscale Mean Shift segmentation of population grids. ESANN (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR (2013)
Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. CoRR (2013)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa, Kevin Prendergast
Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework. ITSC (2012)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
A sequential testing approach for change-point detection on bus door systems. ITSC (2012)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. 15 (3) (2012)
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 Comput. 16 (5) (2012)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
A CUSUM approach for online change-point detection on curve sequences. ESANN (2012)
Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA (2011)
Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux
Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) (2011)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. 5 (4) (2011)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
A pattern recognition approach for anomaly detection on buses brake system. ITSC (2011)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN (2011)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing 73 (7-9) (2010)
Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin
A dynamic Bayesian network to represent discrete duration models. Neurocomputing 73 (4-6) (2010)
Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Eng. Appl. Artif. Intell. 23 (1) (2010)
Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux
Partially-supervised learning in Independent Factor Analysis. ESANN (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. Neural Networks 22 (5-6) (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. ESANN (2009)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. 42 (3) (2009)
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. ICANN (2) (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. IJCNN (2009)
Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin
Railway device diagnosis using sparse Independent Component Analysis. EUSIPCO (2009)
Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. ICMLA (2009)
Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. ICMLA (2008)
Zineb Mehel-Saidi, Gérard Bloch, Patrice Aknin
A subspace method for detection and classification of rail defects. EUSIPCO (2008)
Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray
Reliability Analysis using Graphical Duration Models. ARES (2008)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Mixture Model Estimation with Soft Labels. SMPS (2008)
Allou Samé, Laurent Bouillaut, Patrice Aknin, A. Ben Salem
Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée. Rev. d'Intelligence Artif. 21 (3) (2007)
Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin
Mixture-model-based signal denoising. Adv. Data Anal. Classif. 1 (1) (2007)
Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. FUSION (2006)
Latifa Oukhellou, Patrice Aknin, Éric Deléchelle
Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. ICASSP (3) (2006)
Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. ICPR (4) (2004)
Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin
Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application. ISNN (1) (2004)
Laurent Bouillaut, Philippe Weber, A. Ben Salem, Patrice Aknin
Use of causal probabilistic networks for the improvement of the maintenance of railway infrastructure. SMC (7) (2004)
Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. IWANN (1) (2001)
Latifa Oukhellou, Patrice Aknin
Hybrid training of radial basis function networks in a partitioning context of classification. Neurocomputing 28 (1-3) (1999)
Latifa Oukhellou, Patrice Aknin, Hervé Stoppiglia, Gérard Dreyfus
A new decision criterion for feature selection application to the classification of non destructive testing signatures. EUSIPCO (1998)