| 2009 |
|---|
| 9 | EE | 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 |
|---|
| 8 | EE | Roland Donat,
Laurent Bouillaut,
Patrice Aknin,
Philippe Leray:
Reliability Analysis using Graphical Duration Models.
ARES 2008: 795-800 |
| 7 | EE | Etienne Côme,
Latifa Oukhellou,
Thierry Denoeux,
Patrice Aknin:
Mixture Model Estimation with Soft Labels.
SMPS 2008: 165-174 |
| 2007 |
|---|
| 6 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Latifa Oukhellou,
Patrice Aknin:
Hybrid training of radial basis function networks in a partitioning context of classification.
Neurocomputing 28(1-3): 165-175 (1999) |
