 | 2012 |
| 24 |  | 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) |
| 2011 |
| 23 |  | 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 |
| 22 |  | 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 |
| 21 |  | Allou Samé,
Faicel Chamroukhi,
Gérard Govaert,
Patrice Aknin:
Model-based clustering and segmentation of time series with changes in regime.
Adv. Data Analysis and Classification 5(4): 301-321 (2011) |
| 2010 |
| 20 |  | Latifa Oukhellou,
Alexandra Debiolles,
Thierry Denoeux,
Patrice Aknin:
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion.
Eng. Appl. of AI 23(1): 117-128 (2010) |
| 19 |  | Roland Donat,
Philippe Leray,
Laurent Bouillaut,
Patrice Aknin:
A dynamic Bayesian network to represent discrete duration models.
Neurocomputing 73(4-6): 570-577 (2010) |
| 18 |  | 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) |
| 2009 |
| 17 |  | Faicel Chamroukhi,
Allou Samé,
Gérard Govaert,
Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization.
ESANN 2009 |
| 16 |  | Etienne Côme,
Latifa Oukhellou,
Patrice Aknin,
Thierry Denoeux:
Partially-supervised learning in Independent Factor Analysis.
ESANN 2009 |
| 15 |  | 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 |
| 14 |  | 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 |
| 13 |  | 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 |
| 12 |  | 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) |
| 11 |  | Etienne Côme,
Latifa Oukhellou,
Thierry Denoeux,
Patrice Aknin:
Learning from partially supervised data using mixture models and belief functions.
Pattern Recognition 42(3): 334-348 (2009) |
| 2008 |
| 10 |  | Roland Donat,
Laurent Bouillaut,
Patrice Aknin,
Philippe Leray:
Reliability Analysis using Graphical Duration Models.
ARES 2008: 795-800 |
| 9 |  | 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 |
| 8 |  | Etienne Côme,
Latifa Oukhellou,
Thierry Denoeux,
Patrice Aknin:
Mixture Model Estimation with Soft Labels.
SMPS 2008: 165-174 |
| 2007 |
| 7 |  | Allou Samé,
Latifa Oukhellou,
Etienne Côme,
Patrice Aknin:
Mixture-model-based signal denoising.
Adv. Data Analysis and Classification 1(1): 39-51 (2007) |
| 6 |  | 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.
Revue d'Intelligence Artificielle 21(3): 353-370 (2007) |
| 2004 |
| 5 |  | Alexandra Debiolles,
Latifa Oukhellou,
Patrice Aknin:
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks.
ICPR (4) 2004: 573-576 |
| 4 |  | 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 |
| 3 |  | 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 |
| 2 |  | 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 |
| 1999 |
| 1 |  | Latifa Oukhellou,
Patrice Aknin:
Hybrid training of radial basis function networks in a partitioning context of classification.
Neurocomputing 28(1-3): 165-175 (1999) |