Patrice Aknin - RankMe

49 papers A* 1B 7C 4Journal 20Unranked 17

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