Patrice Aknin

According to our database, Patrice Aknin authored at least 43 papers between 1998 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

A variational Expectation-Maximization algorithm for temporal data clustering.

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin

Comput. Stat. Data Anal., 2016

2014

Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework.

Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

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

Modèle à processus latent et algorithme EM pour la régression non linéaire.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

CoRR, 2013

Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework.

Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Model-Based Clustering of Temporal Data.

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Hierarchical and multiscale Mean Shift segmentation of population grids.

Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

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 Côme, Thierry Denoeux, Patrice Aknin

Soft Comput., 2012

Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Pattern Anal. Appl., 2012

Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework.

Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa, Kevin Prendergast

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

A sequential testing approach for change-point detection on bus door systems.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

A CUSUM approach for online change-point detection on curve sequences.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Model-based clustering and segmentation of time series with changes in regime.

Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin

Adv. Data Anal. Classif., 2011

Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device.

Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin

Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011

A pattern recognition approach for anomaly detection on buses brake system.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Model-based clustering with Hidden Markov Model regression for time series with regime changes.

Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Semi-supervised Feature Extraction Using Independent Factor Analysis.

Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

A dynamic Bayesian network to represent discrete duration models.

Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin

Neurocomputing, 2010

A hidden process regression model for functional data description. Application to curve discrimination.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Neurocomputing, 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

2009

Learning from partially supervised data using mixture models and belief functions.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Pattern Recognit., 2009

Time series modeling by a regression approach based on a latent process.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Neural Networks, 2009

A regression model with a hidden logistic process for feature extraction from time series.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Conference on Machine Learning and Applications, 2009

Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Proceedings of the Artificial Neural Networks, 2009

Railway device diagnosis using sparse Independent Component Analysis.

Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin

Proceedings of the 17th European Signal Processing Conference, 2009

Partially-supervised learning in Independent Factor Analysis.

Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

A regression model with a hidden logistic process for signal parametrization.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Mixture Model Estimation with Soft Labels.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis.

Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

A subspace method for detection and classification of rail defects.

Zineb Mehel-Saidi, Gérard Bloch, Patrice Aknin

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Reliability Analysis using Graphical Duration Models.

Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray

Proceedings of the The Third International Conference on Availability, 2008

2007

Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée.

Allou Samé, Laurent Bouillaut, Patrice Aknin, A. Ben Salem

Rev. d'Intelligence Artif., 2007

Mixture-model-based signal denoising.

Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin

Adv. Data Anal. Classif., 2007

2006

Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform.

Latifa Oukhellou, Patrice Aknin, Éric Deléchelle

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

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

Proceedings of the 9th International Conference on Information Fusion, 2006

2004

Use of causal probabilistic networks for the improvement of the maintenance of railway infrastructure.

Laurent Bouillaut, Philippe Weber, A. Ben Salem, Patrice Aknin

Proceedings of the IEEE International Conference on Systems, 2004

Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application.

Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin

Proceedings of the Advances in Neural Networks, 2004

Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks.

Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2001

Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context.

Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet

Proceedings of the Connectionist Models of Neurons, 2001

1999

Hybrid training of radial basis function networks in a partitioning context of classification.

Latifa Oukhellou, Patrice Aknin

Neurocomputing, 1999

1998

A new decision criterion for feature selection application to the classification of non destructive testing signatures.

Latifa Oukhellou, Patrice Aknin, Hervé Stoppiglia, Gérard Dreyfus

Proceedings of the 9th European Signal Processing Conference, 1998