Lazhar Labiod

Orcid: 0000-0001-8641-8050

According to our database1, Lazhar Labiod authored at least 58 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Boosting Subspace Co-Clustering via Bilateral Graph Convolution.
IEEE Trans. Knowl. Data Eng., March, 2024

Power Attributed Graph Embedding and Clustering.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Scalable Multi-view Clustering via Explicit Kernel Features Maps.
CoRR, 2024

Graph Cuts with Arbitrary Size Constraints Through Optimal Transport.
CoRR, 2024

WSDM 2024 Workshop on Representation Learning & Clustering.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

More Discriminative Sentence Embeddings via Semantic Graph Smoothing.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Biclustering Basé sur le Transport Optimal.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Subspace Co-clustering avec Convolution Bilatérale sur Graphe.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Scalable Attributed-Graph Subspace Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CAEclust: A Consensus of Autoencoders Representations for Clustering.
Image Process. Line, 2022

TensorClus: A python library for tensor (Co)-clustering.
Neurocomputing, 2022

Efficient Graph Convolution for Joint Node Representation Learning and Clustering.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Efficient and Effective Optimal Transport-Based Biclustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Subspace Co-clustering with Two-Way Graph Convolution.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Regularized bi-directional co-clustering.
Stat. Comput., 2021

Implicit consensus clustering from multiple graphs.
Data Min. Knowl. Discov., 2021

Efficient regularized spectral data embedding.
Adv. Data Anal. Classif., 2021

Regularized Dual-PPMI Co-clustering for Text Data.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Méthode ensemble de clustering profond.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical.
Proceedings of the Extraction et Gestion des Connaissances, 2021

2020
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE).
Pattern Recognit., 2020

Tensor latent block model for co-clustering.
Int. J. Data Sci. Anal., 2020

Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Ensemble Block Co-clustering: A Unified Framework for Text Data.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Sparse Tensor Co-clustering as a Tool for Document Categorization.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Co-clustering from Tensor Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
Simultaneous Spectral Data Embedding and Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
A Semi-NMF-PCA Unified Framework for Data Clustering.
IEEE Trans. Knowl. Data Eng., 2017

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

Multi-manifold matrix decomposition for data co-clustering.
Pattern Recognit., 2017

Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
Power Simultaneous Spectral Data Embedding and Clustering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Bi-stochastic Matrix Approximation Framework for Data Co-clustering.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

SemiNMF-PCA framework for Sparse Data Co-clustering.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Unified Framework for Data Visualization and Coclustering.
IEEE Trans. Neural Networks Learn. Syst., 2015

Spectral Clustering Trough Topological Learning for Large Datasets.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Multi-Manifold Matrix Tri-Factorization for Text Data Clustering.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Simultaneous Semi-NMF and PCA for Clustering.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2013
A topographical nonnegative matrix factorization algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A spectral algorithm for topographical Co-clustering.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature space transformation for transfer learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Un Algorithme Spectral pour le Co-clustering Topographique.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Classification des données catégorielles via la maximisation spectrale de la modularité.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Transformation de l'espace de description pour l'apprentissage par transfert.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011
Classification relationnelle topographique.
Rev. d'Intelligence Artif., 2011

Simultaneous Topological Categorical Data Clustering and Cluster characterization.
Int. J. Comput., 2011

Co-clustering under Nonnegative Matrix Tri-Factorization.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Co-clustering for Binary Data with Maximum Modularity.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Co-clustering for Binary and Categorical Data with Maximum Modularity.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Interprétation spectrale de la classification relationnelle.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Relational Topological Map.
Int. J. Comput. Intell. Appl., 2010

Relational topological clustering.
Proceedings of the International Joint Conference on Neural Networks, 2010

Clustering Categorical Data Using an Extended Modularity Measure.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Autonomous Clustering Characterization for Categorical Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Formulation Condorcéenne du critère de la modularité.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010


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