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2010 – 2019
- 2016
[j12]Hani El Assaad
, Allou Samé, Gérard Govaert, Patrice Aknin:
A variational Expectation-Maximization algorithm for temporal data clustering. Comput. Stat. Data Anal. 103: 206-228 (2016)- 2014
- [c29]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: 918-923 - 2013
- [c28]Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin:
Hierarchical and multiscale Mean Shift segmentation of population grids. ESANN 2013 - [c27]Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin:
Model-Based Clustering of Temporal Data. ICANN 2013: 9-16 - [c26]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: 117-122 - [c25]Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin:
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. ICDM 2013: 112-126 - [i8]Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin:
Model-based clustering and segmentation of time series with changes in regime. CoRR abs/1312.6967 (2013) - [i7]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A hidden process regression model for functional data description. Application to curve discrimination. CoRR abs/1312.6968 (2013) - [i6]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Time series modeling by a regression approach based on a latent process. CoRR abs/1312.6969 (2013) - [i5]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR abs/1312.6978 (2013) - [i4]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization. CoRR abs/1312.6994 (2013) - [i3]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series. CoRR abs/1312.7001 (2013) - [i2]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 abs/1312.7003 (2013) - [i1]Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR abs/1312.7024 (2013) - 2012
- [j11]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): 313-326 (2012) - [j10]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): 741-754 (2012) - [c24]Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle:
A CUSUM approach for online change-point detection on curve sequences. ESANN 2012 - [c23]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: 1351-1356 - [c22]Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle:
A sequential testing approach for change-point detection on bus door systems. ITSC 2012: 1846-1851 - 2011
- [j9]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): 301-321 (2011) - [c21]Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux:
Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) 2011: 330-333 - [c20]Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN 2011: 2814-2821 - [c19]Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle:
A pattern recognition approach for anomaly detection on buses brake system. ITSC 2011: 266-271 - [c18]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: 213-220 - 2010
- [j8]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): 117-128 (2010) - [j7]Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin:
A dynamic Bayesian network to represent discrete duration models. Neurocomputing 73(4-6): 570-577 (2010) - [j6]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): 1210-1221 (2010)
2000 – 2009
- 2009
- [j5]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): 593-602 (2009) - [j4]Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin:
Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. 42(3): 334-348 (2009) - [c17]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization. ESANN 2009 - [c16]Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux:
Partially-supervised learning in Independent Factor Analysis. ESANN 2009 - [c15]Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin:
Railway device diagnosis using sparse Independent Component Analysis. EUSIPCO 2009: 2042-2046 - [c14]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: 416-425 - [c13]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: 632-637 - [c12]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series. IJCNN 2009: 489-496 - 2008
- [c11]Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray:
Reliability Analysis using Graphical Duration Models. ARES 2008: 795-800 - [c10]Zineb Mehel-Saidi, Gérard Bloch, Patrice Aknin:
A subspace method for detection and classification of rail defects. EUSIPCO 2008: 1-5 - [c9]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: 415-420 - [c8]Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin:
Mixture Model Estimation with Soft Labels. SMPS 2008: 165-174 - 2007
- [j3]Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin:
Mixture-model-based signal denoising. Adv. Data Anal. Classif. 1(1): 39-51 (2007) - [j2]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): 353-370 (2007) - 2006
- [c7]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: 1-6 - [c6]Latifa Oukhellou, Patrice Aknin, Éric Deléchelle:
Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. ICASSP (3) 2006: 1164-1167 - 2004
- [c5]Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin:
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. ICPR (4) 2004: 573-576 - [c4]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: 524-530 - [c3]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: 6243-6249 - 2001
- [c2]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: 637-644
1990 – 1999
- 1999
- [j1]Latifa Oukhellou, Patrice Aknin:
Hybrid training of radial basis function networks in a partitioning context of classification. Neurocomputing 28(1-3): 165-175 (1999) - 1998
- [c1]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: 1-4
Coauthor Index
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