Lazhar Labiod

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.

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[DOI]

Chakib Fettal

Proceedings of the Extraction et Gestion des Connaissances, 2022

Subspace Co-clustering with Two-Way Graph Convolution.

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[DOI]

Chakib Fettal

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Regularized bi-directional co-clustering.

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[DOI]

Stat. Comput., 2021

Implicit consensus clustering from multiple graphs.

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[DOI]

Data Min. Knowl. Discov., 2021

Efficient regularized spectral data embedding.

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[DOI]

Adv. Data Anal. Classif., 2021

Regularized Dual-PPMI Co-clustering for Text Data.

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[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Méthode ensemble de clustering profond.

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[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2021

Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical.

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[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2021

2020

Spectral clustering via ensemble deep autoencoder learning (SC-EDAE).

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Pattern Recognit., 2020

Tensor latent block model for co-clustering.

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[DOI]

Int. J. Data Sci. Anal., 2020

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

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[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2020

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

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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.

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[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Co-clustering from Tensor Data.

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Simultaneous Spectral Data Embedding and Clustering.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

A Semi-NMF-PCA Unified Framework for Data Clustering.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2017

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

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[DOI]

Pattern Recognit., 2017

Multi-manifold matrix decomposition for data co-clustering.

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[DOI]

Pattern Recognit., 2017

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

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[DOI]

Milad Leyli-Abadi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Power Simultaneous Spectral Data Embedding and Clustering.

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[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Bi-stochastic Matrix Approximation Framework for Data Co-clustering.

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[DOI]

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

SemiNMF-PCA framework for Sparse Data Co-clustering.

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[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

A Unified Framework for Data Visualization and Coclustering.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Spectral Clustering Trough Topological Learning for Large Datasets.

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[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Multi-Manifold Matrix Tri-Factorization for Text Data Clustering.

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[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Simultaneous Semi-NMF and PCA for Clustering.

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Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2013

A topographical nonnegative matrix factorization algorithm.

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Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

A spectral algorithm for topographical Co-clustering.

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[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature space transformation for transfer learning.

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Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Un Algorithme Spectral pour le Co-clustering Topographique.

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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.

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[DOI]

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.

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Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011

Classification relationnelle topographique.

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[DOI]

Rev. d'Intelligence Artif., 2011

Co-clustering under Nonnegative Matrix Tri-Factorization.

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Proceedings of the Neural Information Processing - 18th International Conference, 2011

Co-clustering for Binary Data with Maximum Modularity.

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Proceedings of the Neural Information Processing - 18th International Conference, 2011

Co-clustering for Binary and Categorical Data with Maximum Modularity.

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Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Interprétation spectrale de la classification relationnelle.

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[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity.

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Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Relational Topological Map.

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[DOI]

Int. J. Comput. Intell. Appl., 2010

Relational topological clustering.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Clustering Categorical Data Using an Extended Modularity Measure.

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Proceedings of the Neural Information Processing. Models and Applications, 2010

Autonomous Clustering Characterization for Categorical Data.

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Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Formulation Condorcéenne du critère de la modularité.

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