Lazhar Labiod

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Spectral Clustering

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chakib Fettal, Lazhar Labiod, Mohamed Nadif
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. CoRR (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. EACL (2) (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. CoRR (2024)
Lazhar Labiod, Mohamed Nadif
Power Attributed Graph Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Scalable Multi-view Clustering via Explicit Kernel Features Maps. CoRR (2024)
Lazhar Labiod, Mohamed Nadif, Aghiles Salah
WSDM 2024 Workshop on Representation Learning & Clustering. WSDM (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Scalable Attributed-Graph Subspace Clustering. AAAI (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Biclustering Basé sur le Transport Optimal. EGC (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Subspace Co-clustering avec Convolution Bilatérale sur Graphe. EGC (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. WSDM (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe. EGC (2022)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
TensorClus: A python library for tensor (Co)-clustering. Neurocomputing 468 (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Efficient Graph Convolution for Joint Node Representation Learning and Clustering. WSDM (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Subspace Co-clustering with Two-Way Graph Convolution. CIKM (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Efficient and Effective Optimal Transport-Based Biclustering. NeurIPS (2022)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Process. Line 12 (2022)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Implicit consensus clustering from multiple graphs. Data Min. Knowl. Discov. 35 (6) (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical. EGC (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Regularized Dual-PPMI Co-clustering for Text Data. SIGIR (2021)
Lazhar Labiod, Mohamed Nadif
Efficient regularized spectral data embedding. Adv. Data Anal. Classif. 15 (1) (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Méthode ensemble de clustering profond. EGC (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Regularized bi-directional co-clustering. Stat. Comput. 31 (3) (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Ensemble Block Co-clustering: A Unified Framework for Text Data. CIKM (2020)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC. EGC (2020)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Tensor latent block model for co-clustering. Int. J. Data Sci. Anal. 10 (2) (2020)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE). Pattern Recognit. 108 (2020)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Co-clustering from Tensor Data. PAKDD (1) (2019)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE). CoRR (2019)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Sparse Tensor Co-clustering as a Tool for Document Categorization. SIGIR (2019)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Simultaneous Spectral Data Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Erratum to 'Multi-Manifold Matrix Decomposition for Data Co-clustering' Pattern Recognition 64 (2017) 386-398. Pattern Recognit. 69 (2017)
Kais Allab, Lazhar Labiod, Mohamed Nadif
A Semi-NMF-PCA Unified Framework for Data Clustering. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Multi-manifold matrix decomposition for data co-clustering. Pattern Recognit. 64 (2017)
Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. PAKDD (2) (2017)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Power Simultaneous Spectral Data Embedding and Clustering. SDM (2016)
Lazhar Labiod, Mohamed Nadif
Bi-stochastic Matrix Approximation Framework for Data Co-clustering. IDA (2016)
Kais Allab, Lazhar Labiod, Mohamed Nadif
SemiNMF-PCA framework for Sparse Data Co-clustering. CIKM (2016)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Multi-Manifold Matrix Tri-Factorization for Text Data Clustering. ICONIP (1) (2015)
Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod
Spectral Clustering Trough Topological Learning for Large Datasets. ICONIP (2) (2015)
Lazhar Labiod, Mohamed Nadif
A Unified Framework for Data Visualization and Coclustering. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Simultaneous Semi-NMF and PCA for Clustering. ICDM (2015)
Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
A topographical nonnegative matrix factorization algorithm. IJCNN (2013)
Lazhar Labiod, Younès Bennani
Classification des données catégorielles via la maximisation spectrale de la modularité. EGC (2012)
Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
Un Algorithme Spectral pour le Co-clustering Topographique. EGC (2012)
Nistor Grozavu, Younès Bennani, Lazhar Labiod
Feature space transformation for transfer learning. IJCNN (2012)
Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
A spectral algorithm for topographical Co-clustering. IJCNN (2012)
Nistor Grozavu, Younès Bennani, Lazhar Labiod
Transformation de l'espace de description pour l'apprentissage par transfert. EGC (2012)
Lazhar Labiod, Mohamed Nadif
Co-clustering under Nonnegative Matrix Tri-Factorization. ICONIP (2) (2011)
Lazhar Labiod, Nistor Grozavu, Younès Bennani
Classification relationnelle topographique. Rev. d'Intelligence Artif. 25 (3) (2011)
Lazhar Labiod, Mohamed Nadif
Co-clustering for Binary Data with Maximum Modularity. ICONIP (2) (2011)
Lazhar Labiod, Nistor Grozavu, Younès Bennani
Simultaneous Topological Categorical Data Clustering and Cluster characterization. Int. J. Comput. 10 (1) (2011)
Lazhar Labiod, Younès Bennani
Interprétation spectrale de la classification relationnelle. EGC (2011)
Lazhar Labiod, Mohamed Nadif
Co-clustering for Binary and Categorical Data with Maximum Modularity. ICDM (2011)
Lazhar Labiod, Younès Bennani
A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity. ESANN (2011)
Nistor Grozavu, Lazhar Labiod, Younès Bennani
Autonomous Clustering Characterization for Categorical Data. ICMLA (2010)
Lazhar Labiod, Nistor Grozavu, Younès Bennani
Formulation Condorcéenne du critère de la modularité. AAFD (2010)
Lazhar Labiod, Nistor Grozavu, Younès Bennani
Relational topological clustering. IJCNN (2010)
Lazhar Labiod, Nistor Grozavu, Younès Bennani
Relational Topological Map. Int. J. Comput. Intell. Appl. 9 (4) (2010)
Lazhar Labiod, Nistor Grozavu, Younès Bennani
Clustering Categorical Data Using an Extended Modularity Measure. ICONIP (2) (2010)