Lazhar Labiod

发表

Feature space transformation for transfer learning

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Relational Topological Map

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2010, Int. J. Comput. Intell. Appl..

Power Simultaneous Spectral Data Embedding and Clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2016, SDM.

Simultaneous Spectral Data Embedding and Clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Relational topological clustering

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Interprétation spectrale de la classification relationnelle

Younès Bennani, Lazhar Labiod, Younès Bennani, 2011, EGC.

Ensemble Block Co-clustering: A Unified Framework for Text Data

Lazhar Labiod, Séverine Affeldt, Mohamed Nadif, 2020, CIKM.

A spectral algorithm for topographical Co-clustering

Mohamed Nadif, Nicoleta Rogovschi, Lazhar Labiod, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Tensor latent block model for co-clustering

Lazhar Labiod, Mohamed Nadif, Rafika Boutalbi, 2020, International Journal of Data Science and Analytics.

Co-clustering from Tensor Data

Mohamed Nadif, Lazhar Labiod, Rafika Boutalbi, 2019, PAKDD.

Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE) pdf

Mohamed Nadif, Lazhar Labiod, Séverine Affeldt, 2019, Pattern Recognit..

Co-clustering under Nonnegative Matrix Tri-Factorization

Mohamed Nadif, Lazhar Labiod, M. Nadif, 2011, ICONIP.

Classification des données catégorielles via la maximisation spectrale de la modularité

Younès Bennani, Lazhar Labiod, 2012, EGC.

Autonomous Clustering Characterization for Categorical Data

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Spectral Clustering Trough Topological Learning for Large Datasets

Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod, 2015, ICONIP.

A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity

Younès Bennani, Lazhar Labiod, Younès Bennani, 2011, ESANN.

Clustering Categorical Data Using an Extended Modularity Measure

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2010, ICONIP.

Multi-manifold matrix decomposition for data co-clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2017, Pattern Recognit..

A topographical nonnegative matrix factorization algorithm

Mohamed Nadif, Nicoleta Rogovschi, Lazhar Labiod, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Sparse Tensor Co-clustering as a Tool for Document Categorization

Mohamed Nadif, Lazhar Labiod, Rafika Boutalbi, 2019, SIGIR.

A Semi-NMF-PCA Unified Framework for Data Clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2017, IEEE Transactions on Knowledge and Data Engineering.

Bi-stochastic Matrix Approximation Framework for Data Co-clustering

Mohamed Nadif, Lazhar Labiod, 2016, IDA.

SIMULTANEOUS ATTRIBUTED NETWORK EMBEDDING AND CLUSTERING

Lazhar Labiod, Mohamed Nadif, 2019 .

Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data

Mohamed Nadif, Lazhar Labiod, Milad Leyli-Abadi, 2017, PAKDD.

Classification relationnelle topographique

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2011, Rev. d'Intelligence Artif..

Transformation de l'espace de description pour l'apprentissage par transfert

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2012, EGC.

Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC

Lazhar Labiod, Mohamed Nadif, Rafika Boutalbi, 2020, EGC.

SemiNMF-PCA framework for Sparse Data Co-clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2016, CIKM.

Efficient regularized spectral data embedding

Lazhar Labiod, Mohamed Nadif, M. Nadif, 2020, Advances in Data Analysis and Classification.

Co-clustering for Binary Data with Maximum Modularity

Mohamed Nadif, Lazhar Labiod, M. Nadif, 2011, ICONIP.

Co-clustering for Binary and Categorical Data with Maximum Modularity

Mohamed Nadif, Lazhar Labiod, M. Nadif, 2011, 2011 IEEE 11th International Conference on Data Mining.

Un Algorithme Spectral pour le Co-clustering Topographique

Mohamed Nadif, Nicoleta Rogovschi, Lazhar Labiod, 2012, EGC.

Relationship between the Modularity criterion and the Relational Analysis

Nistor Grozavu, Lazhar Labiod, Younes Bennani, 2010, 2010 6th International Conference on Advanced Information Management and Service (IMS).

A Unified Framework for Data Visualization and Coclustering

Mohamed Nadif, Lazhar Labiod, M. Nadif, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Formulation Condorcéenne du critère de la modularité

Younès Bennani, Nistor Grozavu, Lazhar Labiod, 2010, AAFD.

Erratum to 'Multi-Manifold Matrix Decomposition for Data Co-clustering' Pattern Recognition 64 (2017) 386-398

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2017, Pattern Recognit..

Multi-Manifold Matrix Tri-Factorization for Text Data Clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2015, ICONIP.

Simultaneous Semi-NMF and PCA for Clustering

Mohamed Nadif, Kais Allab, Lazhar Labiod, 2015, 2015 IEEE International Conference on Data Mining.

Implicit consensus clustering from multiple graphs

Mohamed Nadif, Lazhar Labiod, Rafika Boutalbi, 2021, Data Mining and Knowledge Discovery.

Regularized Dual-PPMI Co-clustering for Text Data

Mohamed Nadif, Lazhar Labiod, Séverine Affeldt, 2021, SIGIR.

TensorClus: A python library for tensor (Co)-clustering

Mohamed Nadif, Lazhar Labiod, Rafika Boutalbi, 2022, Neurocomputing.

Regularized bi-directional co-clustering

Mohamed Nadif, Lazhar Labiod, Séverine Affeldt, 2021, Stat. Comput..