Lazhar Labiod - RankMe

66 papers A* 6A 7B 7C 1Journal 25Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable multi-view clustering via explicit kernel features maps. Data Min. Knowl. Discov. Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2026	J	`jnl`	Unsupervised learning from attributed networks. Adv. Data Anal. Classif. Lazhar Labiod, Mohamed Nadif
2025	—	`conf`	Boosting Attributed Network Embeddings with Clustering. ASONAM (1) Lazhar Labiod, Mohamed Nadif
2025	B	`conf`	Classification EM-PCA for Clustering and Embedding. IEEE Big Data Zineddine Tighidet, Lazhar Labiod, Mohamed Nadif
2025	J	`jnl`	Classification EM-PCA for clustering and embedding. CoRR Zineddine Tighidet, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Trans. Knowl. Data Eng. Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. CoRR Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. Trans. Mach. Learn. Res. Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	—	`conf`	More Discriminative Sentence Embeddings via Semantic Graph Smoothing. EACL (2) Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	More Discriminative Sentence Embeddings via Semantic Graph Smoothing. CoRR Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Power Attributed Graph Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Scalable Multi-view Clustering via Explicit Kernel Features Maps. CoRR Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	A	`conf`	WSDM 2024 Workshop on Representation Learning & Clustering. WSDM Lazhar Labiod, Mohamed Nadif, Aghiles Salah
2023	—	`conf`	Biclustering Basé sur le Transport Optimal. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	A*	`conf`	Scalable Attributed-Graph Subspace Clustering. AAAI Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	A	`conf`	Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. WSDM Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	—	`conf`	Subspace Co-clustering avec Convolution Bilatérale sur Graphe. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	—	`conf`	Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	J	`jnl`	CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Process. Line Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2022	A	`conf`	Efficient Graph Convolution for Joint Node Representation Learning and Clustering. WSDM Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	A*	`conf`	Efficient and Effective Optimal Transport-Based Biclustering. NeurIPS Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	A	`conf`	Subspace Co-clustering with Two-Way Graph Convolution. CIKM Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	J	`jnl`	TensorClus: A python library for tensor (Co)-clustering. Neurocomputing Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2021	—	`conf`	Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical. EGC Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021	J	`jnl`	Efficient regularized spectral data embedding. Adv. Data Anal. Classif. Lazhar Labiod, Mohamed Nadif
2021	J	`jnl`	Implicit consensus clustering from multiple graphs. Data Min. Knowl. Discov. Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2021	—	`conf`	Méthode ensemble de clustering profond. EGC Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021	A*	`conf`	Regularized Dual-PPMI Co-clustering for Text Data. SIGIR Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021	J	`jnl`	Regularized bi-directional co-clustering. Stat. Comput. Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020	—	`conf`	Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC. EGC Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2020	A	`conf`	Ensemble Block Co-clustering: A Unified Framework for Text Data. CIKM Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020	J	`jnl`	Spectral clustering via ensemble deep autoencoder learning (SC-EDAE). Pattern Recognit. Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020	J	`jnl`	Tensor latent block model for co-clustering. Int. J. Data Sci. Anal. Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2019	—	`conf`	Co-clustering from Tensor Data. PAKDD (1) Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2019	A*	`conf`	Sparse Tensor Co-clustering as a Tool for Document Categorization. SIGIR Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2019	J	`jnl`	Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE). CoRR Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2018	J	`jnl`	Simultaneous Spectral Data Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. Kais Allab, Lazhar Labiod, Mohamed Nadif
2017	J	`jnl`	A Semi-NMF-PCA Unified Framework for Data Clustering. IEEE Trans. Knowl. Data Eng. Kais Allab, Lazhar Labiod, Mohamed Nadif
2017	—	`conf`	Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. PAKDD (2) Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif
2017	J	`jnl`	Erratum to 'Multi-Manifold Matrix Decomposition for Data Co-clustering' Pattern Recognition 64 (2017) 386-398. Pattern Recognit. Kais Allab, Lazhar Labiod, Mohamed Nadif
2017	J	`jnl`	Multi-manifold matrix decomposition for data co-clustering. Pattern Recognit. Kais Allab, Lazhar Labiod, Mohamed Nadif
2016	B	`conf`	Bi-stochastic Matrix Approximation Framework for Data Co-clustering. IDA Lazhar Labiod, Mohamed Nadif
2016	A	`conf`	Power Simultaneous Spectral Data Embedding and Clustering. SDM Kais Allab, Lazhar Labiod, Mohamed Nadif
2016	A	`conf`	SemiNMF-PCA framework for Sparse Data Co-clustering. CIKM Kais Allab, Lazhar Labiod, Mohamed Nadif
2015	J	`jnl`	A Unified Framework for Data Visualization and Coclustering. IEEE Trans. Neural Networks Learn. Syst. Lazhar Labiod, Mohamed Nadif
2015	—	`conf`	Multi-Manifold Matrix Tri-Factorization for Text Data Clustering. ICONIP (1) Kais Allab, Lazhar Labiod, Mohamed Nadif
2015	A*	`conf`	Simultaneous Semi-NMF and PCA for Clustering. ICDM Kais Allab, Lazhar Labiod, Mohamed Nadif
2015	—	`conf`	Spectral Clustering Trough Topological Learning for Large Datasets. ICONIP (2) Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod
2013	B	`conf`	A topographical nonnegative matrix factorization algorithm. IJCNN Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2012	B	`conf`	A spectral algorithm for topographical Co-clustering. IJCNN Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2012	—	`conf`	Classification des données catégorielles via la maximisation spectrale de la modularité. EGC Lazhar Labiod, Younès Bennani
2012	B	`conf`	Feature space transformation for transfer learning. IJCNN Nistor Grozavu, Younès Bennani, Lazhar Labiod
2012	—	`conf`	Transformation de l'espace de description pour l'apprentissage par transfert. EGC Nistor Grozavu, Younès Bennani, Lazhar Labiod
2012	—	`conf`	Un Algorithme Spectral pour le Co-clustering Topographique. EGC Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2011	B	`conf`	A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity. ESANN Lazhar Labiod, Younès Bennani
2011	J	`jnl`	Classification relationnelle topographique. Rev. d'Intelligence Artif. Lazhar Labiod, Nistor Grozavu, Younès Bennani
2011	—	`conf`	Co-clustering for Binary Data with Maximum Modularity. ICONIP (2) Lazhar Labiod, Mohamed Nadif
2011	A*	`conf`	Co-clustering for Binary and Categorical Data with Maximum Modularity. ICDM Lazhar Labiod, Mohamed Nadif
2011	—	`conf`	Co-clustering under Nonnegative Matrix Tri-Factorization. ICONIP (2) Lazhar Labiod, Mohamed Nadif
2011	—	`conf`	Interprétation spectrale de la classification relationnelle. EGC Lazhar Labiod, Younès Bennani
2011	J	`jnl`	Simultaneous Topological Categorical Data Clustering and Cluster characterization. Int. J. Comput. Lazhar Labiod, Nistor Grozavu, Younès Bennani
2010	C	`conf`	Autonomous Clustering Characterization for Categorical Data. ICMLA Nistor Grozavu, Lazhar Labiod, Younès Bennani
2010	—	`conf`	Clustering Categorical Data Using an Extended Modularity Measure. ICONIP (2) Lazhar Labiod, Nistor Grozavu, Younès Bennani
2010	—	`conf`	Formulation Condorcéenne du critère de la modularité. AAFD Lazhar Labiod, Nistor Grozavu, Younès Bennani
2010	J	`jnl`	Relational Topological Map. Int. J. Comput. Intell. Appl. Lazhar Labiod, Nistor Grozavu, Younès Bennani
2010	B	`conf`	Relational topological clustering. IJCNN Lazhar Labiod, Nistor Grozavu, Younès Bennani