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Latifa Oukhellou
2010 – today
- 2012
[j7]Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani: An Evidence-Based Sensor Coverage Model. IEEE Communications Letters 16(9): 1462-1465 (2012)- [j6]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)
- [j5]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)
- [c13]Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani: Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks. Belief Functions 2012: 425-432
- [c12]Dorra Trabelsi, Samer Mohammed, Yacine Amirat, Latifa Oukhellou: Activity recognition using body mounted sensors: An unsupervised learning based approach. IJCNN 2012: 1-7
- [c11]Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani: Efficient uncertainty-aware deployment algorithms for wireless sensor networks. WCNC 2012: 2163-2167
- 2011
- [c10]Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani: Uncertainty-Aware Sensor Network Deployment. GLOBECOM 2011: 1-5
- [c9]Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux: Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) 2011: 330-333
- [c8]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
- [j4]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)
2000 – 2009
- 2009
- [j3]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)
- [c7]Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux: Partially-supervised learning in Independent Factor Analysis. ESANN 2009
- [c6]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
- [c5]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
- 2008
- [c4]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
- [c3]Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin: Mixture Model Estimation with Soft Labels. SMPS 2008: 165-174
- 2007
- [j2]Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin: Mixture-model-based signal denoising. Adv. Data Analysis and Classification 1(1): 39-51 (2007)
- 2004
- [c2]Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin: Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. ICPR (4) 2004: 573-576
- 2001
- [c1]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)
Coauthor Index
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last updated on 2012-12-02 20:41 CET by the dblp team