| A Semi-NMF-PCA Unified Framework for Data Clustering K Allab, L Labiod, M Nadif IEEE Transactions on Knowledge and Data Engineering (TKDE) 29 (1), 2-16, 2017 | 89 | 2017 |
| Bi-clustering continuous data with self-organizing map K Benabdeslem, K Allab Neural Computing and Applications 22, 1551-1562, 2013 | 32 | 2013 |
| Simultaneous Spectral Data Embedding and Clustering K Allab, L Labiod, M Nadif IEEE Transactions on Neural Networks and Learning Systems 29 (12), 6396-6401, 2018 | 26 | 2018 |
| Constraint Selection-Based Semi-supervised Feature Selection. M Hindawi, K Allab, K Benabdeslem IEEE International Conference on Data Mining (ICDM'11), 1080-1085, 2011 | 24 | 2011 |
| Constraint selection for semi-supervised topological clustering K Allab, K Benabdeslem Machine Learning and Knowledge Discovery in Databases (ECML/PKDD'11), 28-43, 2011 | 21 | 2011 |
| Multi-Manifold Matrix Decomposition for Data Co-clustering K Allab, L Labiod, M Nadif Pattern Recognition 64 (April 2017), 386-398, 2017 | 15 | 2017 |
| Simultaneous Semi-NMF and PCA for Clustering K Allab, L Labiod, M Nadif IEEE International Conference on Data Mining (ICDM'15), 679 - 684, 2015 | 9 | 2015 |
| Power Simultaneous Spectral Data Embedding and Clustering K Allab, L Labiod, M Nadif SIAM International Conference on Data Mining (SDM'16), 270-278, 2016 | 6 | 2016 |
| SemiNMF-PCA framework for Sparse Data Co-clustering K Allab, L Labiod, M Nadif ACM Conference on Information and Knowledge Management (CIKM 2016), 347-356, 2016 | 4 | 2016 |
| Sélection de contraintes pour la classification topologique semi-supervisée K Allab, K Benabdeslem Conférence Francophone d'Apprentissage CAP'11, 39-54, 2011 | 2 | 2011 |
| Une approche de co-classification automatique à base des cartes topologiques K Allab, K Benabdeslem, A Aussem Apprentissage Artificiel et Fouille de Données (AAFD'10). RNTI, A-5 …, 2011 | 2 | 2011 |
| Erratum to'Multi-Manifold Matrix Decomposition for Data Co-clustering'Pattern Recognition 64 (2017) 386-398 K Allab, L Labiod, M Nadif Pattern Recognition 69, 352-353, 2017 | 1 | 2017 |
| Multi-Manifold Matrix Tri-Factorization for Text Data Clustering K Allab, L Labiod, M Nadif Neural Information Processing (ICONIP'15), 9489, 705-715, 2015 | 1 | 2015 |
| Alam, M., Vidyaratne, LS, and Iftekharuddin, KM, Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition; TNNLS Oct. 2018 4905-4916 Alippi, C., see … K Allab, L Labiod, M Nadif IEEE TRANSACTIONS ON NEURAL NETWORKS 29 (12), 6421, 2018 | | 2018 |
| Matrix factorization framework for simultaneous data (co-) clustering and embedding K Allab Université Sorbonne Paris Cité, 2016 | | 2016 |
| La Classification Croisée par Combinaison de Variétés K Allab, L Labiod, M Nadif Rencontre de la Société Francophone de Classification (SFC'15), Nantes-France., 2015 | | 2015 |
| Classication croisée sous contraintes basée sur la Tri-Factorisation matricielle. K Allab, L Labiod, M Nadif Conférence francophone d’apprentissage (CAP'14), Saint Etienne-France., 2014 | | 2014 |
| Sélection de contraintes en apprentissage topologique semi-supervisé K Allab, K Benabdeslem 7e Plateforme AFIA, Association Française pour l'Intelligence Artificielle …, 2011 | | 2011 |
| Multi-Manifold Co-clustering for Text data sets K Allab, L Labiod, M Nadif | | |
Lazhar LabiodCentre Borelli, Université Paris-CitéAdresse e-mail validée de u-paris.fr
