Mohamed Nadif - RankMe

173 papers A* 11A 18B 16C 5Journal 55Unranked 67

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model. IDA Imane Akdim, Loubna Mekouar, Youssef Iraqi, Mohamed Nadif
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	J	`jnl`	A sparse exponential family latent block model for co-clustering. Adv. Data Anal. Classif. Saeid Hoseinipour, Mina Aminghafari, Adel Mohammadpour, 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
2025	A	`conf`	Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration. WSDM Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
2025	—	`conf`	Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering. ECIR (2) Imed Keraghel, Mohamed Nadif
2025	B	`conf`	Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM. IDA Noor Khalal, Abdallah Alaa-Eddine Djamai, Imed Keraghel, Mohamed Nadif
2024	J	`jnl`	A survey on recent advances in named entity recognition. CoRR Imed Keraghel, Stanislas Morbieu, Mohamed Nadif
2024	—	`conf`	Beyond Words: A Comparative Analysis of LLM Embeddings for Effective Clustering. IDA (1) Imed Keraghel, Stanislas Morbieu, 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	J	`jnl`	Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering. CoRR Imed Keraghel, Mohamed Nadif
2024	—	`conf`	Modèles graphiques causaux interactifs pour les données textuelles. EGC Amine Ferdjaoui, Séverine Affeldt, 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
2024	A	`conf`	WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. WSDM Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
2023	—	`conf`	Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. LOD (1) Louis Falissard, Séverine Affeldt, Mohamed Nadif
2023	—	`conf`	Biclustering Basé sur le Transport Optimal. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	—	`conf`	CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée. EGC Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif
2023	B	`conf`	Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. IDA Mira Ait Saada, Mohamed Nadif
2023	—	`conf`	Etude approfondie des représentations de données textuelles dans l'apprentissage non supervisé. EGC Mira Ait Saada, Mohamed Nadif
2023	—	`conf`	Is Anisotropy Truly Harmful? A Case Study on Text Clustering. ACL (2) Mira Ait Saada, Mohamed Nadif
2023	J	`jnl`	Poisson degree corrected dynamic stochastic block model. Adv. Data Anal. Classif. Paul Riverain, Simon Fossier, 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
2023	A	`conf`	Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora. EACL Mira Ait Saada, Mohamed Nadif
2022	J	`jnl`	A survey on machine learning methods for churn prediction. Int. J. Data Sci. Anal. Louis Geiler, Séverine Affeldt, Mohamed Nadif
2022	J	`jnl`	An effective strategy for churn prediction and customer profiling. Data Knowl. Eng. Louis Geiler, Séverine Affeldt, 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	—	`conf`	Apprentissage machine pour la prédiction de l'attrition: une étude comparative. EGC Louis Geiler, Séverine Affeldt, Mohamed Nadif
2022	J	`jnl`	CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Process. Line Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2022	—	`conf`	Classification non supervisée de documents à partir des modèles Transformeurs. EGC Mira Ait Saada, François Role, 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	J	`jnl`	Improving NMF clustering by leveraging contextual relationships among words. Neurocomputing Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif
2022	J	`jnl`	Semi-supervised Latent Block Model with pairwise constraints. Mach. Learn. Paul Riverain, Simon Fossier, Mohamed Nadif
2022	A	`conf`	Subspace Co-clustering with Two-Way Graph Convolution. CIKM Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	A*	`conf`	Tensor-based Graph Modularity for Text Data Clustering. SIGIR Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, 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	A	`conf`	How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. CIKM Mira Ait Saada, François Role, Mohamed Nadif
2021	J	`jnl`	Implicit consensus clustering from multiple graphs. Data Min. Knowl. Discov. Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2021	—	`conf`	Model-based Poisson co-clustering for Attributed Networks. ICDM (Workshops) Paul Riverain, Simon Fossier, Mohamed Nadif
2021	—	`conf`	Modèle à Blocs Stochastiques corrigé en degrés pour des graphes dynamiques. EGC Paul Riverain, Simon Fossier, 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
2021	B	`conf`	Unsupervised Methods for the Study of Transformer Embeddings. IDA Mira Ait Saada, François Role, Mohamed Nadif
2021	J	`jnl`	Unsupervised and self-supervised deep learning approaches for biomedical text mining. Briefings Bioinform. Mohamed Nadif, François Role
2020	B	`conf`	A Consensus Approach to Improve NMF Document Clustering. IDA Mickael Febrissy, 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
2020	—	`conf`	Wasserstein Embeddings for Nonnegative Matrix Factorization. LOD (1) Mickael Febrissy, Mohamed Nadif
2019	—	`conf`	Co-clustering from Tensor Data. PAKDD (1) Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
2019	J	`jnl`	Directional co-clustering. Adv. Data Anal. Classif. Aghiles Salah, 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	—	`conf`	Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices. ECML/PKDD (1) Blaise Hanczar, Mohamed Nadif
2018	J	`jnl`	Mutual information, phi-squared and model-based co-clustering for contingency tables. Adv. Data Anal. Classif. Gérard Govaert, Mohamed Nadif
2018	J	`jnl`	Simultaneous Spectral Data Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. Kais Allab, Lazhar Labiod, Mohamed Nadif
2018	A*	`conf`	Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract). ICDE Melissa Ailem, François Role, Mohamed Nadif
2018	A	`conf`	Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings. CIKM François Role, Stanislas Morbieu, Mohamed Nadif
2018	A*	`conf`	Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. AAAI Aghiles Salah, Melissa Ailem, 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	A	`conf`	A Way to Boost Semi-NMF for Document Clustering. CIKM Aghiles Salah, Melissa Ailem, Mohamed Nadif
2017	—	`conf`	Analyse exploratoire de corpus textuels pour le journalisme d'investigation. EGC Nicolas Médoc, Mohammad Ghoniem, 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`	Diagonal latent block model for binary data. Stat. Comput. Charlotte Laclau, 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`	Model-based co-clustering for the effective handling of sparse data. Pattern Recognit. Melissa Ailem, François Role, Mohamed Nadif
2017	A	`conf`	Model-based von Mises-Fisher Co-clustering with a Conscience. SDM Aghiles Salah, Mohamed Nadif
2017	J	`jnl`	Multi-manifold matrix decomposition for data co-clustering. Pattern Recognit. Kais Allab, Lazhar Labiod, Mohamed Nadif
2017	A*	`conf`	Non-negative Matrix Factorization Meets Word Embedding. SIGIR Melissa Ailem, Aghiles Salah, Mohamed Nadif
2017	J	`jnl`	Social regularized von Mises-Fisher mixture model for item recommendation. Data Min. Knowl. Discov. Aghiles Salah, Mohamed Nadif
2017	J	`jnl`	Sparse Poisson Latent Block Model for Document Clustering. IEEE Trans. Knowl. Data Eng. Melissa Ailem, François Role, Mohamed Nadif
2016	J	`jnl`	A dynamic collaborative filtering system via a weighted clustering approach. Neurocomputing Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	B	`conf`	Bi-stochastic Matrix Approximation Framework for Data Co-clustering. IDA Lazhar Labiod, Mohamed Nadif
2016	J	`jnl`	Data visualization via latent variables and mixture models: a brief survey. Pattern Anal. Appl. Rodolphe Priam, Mohamed Nadif
2016	—	`conf`	Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering. ECML/PKDD (3) Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
2016	J	`jnl`	Generalized topographic block model. Neurocomputing Rodolphe Priam, Mohamed Nadif, Gérard Govaert
2016	J	`jnl`	Graph modularity maximization as an effective method for co-clustering text data. Knowl. Based Syst. Melissa Ailem, François Role, Mohamed Nadif
2016	J	`jnl`	Hard and fuzzy diagonal co-clustering for document-term partitioning. Neurocomputing Charlotte Laclau, Mohamed Nadif
2016	A	`conf`	Model-based Co-clustering for High Dimensional Sparse Data. AISTATS Aghiles Salah, Nicoleta Rogovschi, 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
2016	A	`conf`	Stochastic Co-clustering for Document-Term Data. SDM Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	J	`jnl`	Unsupervised text mining for assessing and augmenting GWAS results. J. Biomed. Informatics Melissa Ailem, François Role, Mohamed Nadif, Florence Demenais
2016	—	`conf`	Vers une approche Visual Analytics pour explorer les variantes de sujets d'un corpus. EGC Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
2016	—	`conf`	Visual exploration of topic variants through a hybrid biclustering approach. IHM Nicolas Médoc, Mohammad Ghoniem, 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`	Adaptive Threshold for Anomaly Detection Using Time Series Segmentation. ICONIP (3) Mohamed-Cherif Dani, François-Xavier Jollois, Mohamed Nadif, Cassiano Freixo
2015	—	`conf`	An Efficient Incremental Collaborative Filtering System. ICONIP (3) Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2015	A	`conf`	Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity. CIKM Melissa Ailem, François Role, Mohamed Nadif
2015	—	`conf`	Compromis précision-rappel dans l'évaluation des performances. EGC Blaise Hanczar, Mohamed Nadif
2015	B	`conf`	Diagonal Co-clustering Algorithm for Document-Word Partitioning. IDA Charlotte Laclau, Mohamed Nadif
2015	B	`conf`	Fuzzy co-clustering with automated variable weighting. FUZZ-IEEE Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif
2015	—	`conf`	Multi-Manifold Matrix Tri-Factorization for Text Data Clustering. ICONIP (1) Kais Allab, Lazhar Labiod, Mohamed Nadif
2015	—	`conf`	Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. EGC Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif
2015	A*	`conf`	Simultaneous Semi-NMF and PCA for Clustering. ICDM Kais Allab, Lazhar Labiod, Mohamed Nadif
2014	—	`conf`	Aggregation of Biclustering Solutions for Ensemble Approach. ICPRAM (Selected Papers) Blaise Hanczar, Mohamed Nadif
2014	J	`jnl`	Beyond cluster labeling: Semantic interpretation of clusters' contents using a graph representation. Knowl. Based Syst. François Role, Mohamed Nadif
2014	B	`conf`	Fast Simultaneous Clustering and Feature Selection for Binary Data. IDA Charlotte Laclau, Mohamed Nadif
2014	J	`jnl`	Topographic Bernoulli block mixture mapping for binary tables. Pattern Anal. Appl. Rodolphe Priam, Mohamed Nadif, Gérard Govaert
2014	C	`conf`	Unsupervised Consensus Functions Applied to Ensemble Biclustering. ICPRAM Blaise Hanczar, Mohamed Nadif
2014	—	`conf`	Visual analytics of text streams through multiple dynamic frequency matrices. IEEE VAST Nicolas Médoc, Mickaël Stefas, Mohammad Ghoniem, Mohamed Nadif
2013	B	`conf`	A topographical nonnegative matrix factorization algorithm. IJCNN Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2013	J	`jnl`	Data Leak Aware Crowdsourcing in Social Network CoRR Iheb Ben Amor, Athman Bouguettaya, Mourad Ouziri, Salima Benbernou, Mohamed Nadif
2013	B	`conf`	Gaussian Topographic Co-clustering Model. IDA Rodolphe Priam, Mohamed Nadif, Gérard Govaert
2013	—	`conf`	Precision-recall space to correct external indices for biclustering. ICML (2) Blaise Hanczar, Mohamed Nadif
2012	B	`conf`	A spectral algorithm for topographical Co-clustering. IJCNN Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2012	—	`conf`	Classification topologique probabiliste pour des données catégorielles. EGC Nicoleta Rogovschi, Mohamed Nadif
2012	—	`conf`	Data Leak Aware Crowdsourcing in Social Network. WISE Workshops Iheb Ben Amor, Salima Benbernou, Mourad Ouziri, Mohamed Nadif, Athman Bouguettaya
2012	J	`jnl`	Ensemble methods for biclustering tasks. Pattern Recognit. Blaise Hanczar, Mohamed Nadif
2012	—	`conf`	Generative Topographic Mapping and Factor Analyzers. ICPRAM (1) Rodolphe Priam, Mohamed Nadif
2012	—	`conf`	Nonlinear Mapping by Constrained Co-clustering. ICPRAM (1) Rodolphe Priam, Mohamed Nadif, Gérard Govaert
2012	—	`conf`	Un Algorithme Spectral pour le Co-clustering Topographique. EGC Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2011	—	`conf`	Block Mixture Model for the Biclustering of Microarray Data. DEXA Workshops Haifa Ben Saber, Mourad Elloumi, Mohamed Nadif
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`	Different Variants of Normalized EM Algorithm for Gene Expression Data. DEXA Workshops W. Parr Bouberima, Y. Khemal Bencheikh, Mohamed Nadif
2011	—	`conf`	Handling the Impact of Low Frequency Events on Co-occurrence based Measures of Word Similarity - A Case Study of Pointwise Mutual Information. KDIR François Role, Mohamed Nadif
2011	—	`conf`	Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods. DEXA Workshops Blaise Hanczar, Mohamed Nadif
2011	—	`conf`	PPMI : étude formelle d'une variante à valeurs positives de la PMI. EGC François Role, Mohamed Nadif
2011	J	`jnl`	Using the bagging approach for biclustering of gene expression data. Neurocomputing Blaise Hanczar, Mohamed Nadif
2011	—	`conf`	Weighted Topological Clustering for Categorical Data. ICONIP (1) Nicoleta Rogovschi, Mohamed Nadif
2010	A	`conf`	Bagged Biclustering for Microarray Data. ECAI Blaise Hanczar, Mohamed Nadif
2010	—	`conf`	Bagging for Biclustering: Application to Microarray Data. ECML/PKDD (1) Blaise Hanczar, Mohamed Nadif
2010	C	`conf`	Model-Based Co-clustering for Continuous Data. ICMLA Mohamed Nadif, Gérard Govaert
2010	C	`conf`	Multinomial Self Organizing Maps. ISDA Faryel Allouti, Mohamed Nadif, Benoît Otjacques
2010	—	`conf`	Visualization of Document Clusters - An Interactive Visual Tool to Browse Textual Documents. IMAGAPP/IVAPP Faryel Allouti, Mohamed Nadif, Benoît Otjacques
2009	C	`conf`	Mixture Model and MDSDCA for Textual Data. CDVE Faryel Allouti, Mohamed Nadif, Le Thi Hoai An, Benoît Otjacques
2008	—	`conf`	Algorithms for Model-based Block Gaussian Clustering. DMIN Mohamed Nadif, Gérard Govaert
2008	—	`conf`	Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires. EGC Rodolphe Priam, Mohamed Nadif, Gérard Govaert
2008	J	`jnl`	Block clustering with Bernoulli mixture models: Comparison of different approaches. Comput. Stat. Data Anal. Gérard Govaert, Mohamed Nadif
2008	—	`conf`	The Block Generative Topographic Mapping. ANNPR Rodolphe Priam, Mohamed Nadif, Gérard Govaert
2008	—	`conf`	Visualisation du parcours des fichiers attachés aux messages électroniques. IHM Faryel Allouti, Mohamed Nadif, Benoît Otjacques, Le Thi Hoai An
2007	B	`conf`	Clustering and assessing the number of clusters with accelerated EM variant. RCIS François-Xavier Jollois, Mohamed Nadif
2007	J	`jnl`	Clustering of contingency table and mixture model. Eur. J. Oper. Res. Gérard Govaert, Mohamed Nadif
2007	J	`jnl`	Speed-up for the expectation-maximization algorithm for clustering categorical data. J. Glob. Optim. François-Xavier Jollois, Mohamed Nadif
2006	—	`conf`	Carte auto-organisatrice probabiliste sur données binaires. EGC Rodolphe Priam, Mohamed Nadif
2006	—	`conf`	Classification d'un tableau de contingence et modèle probabiliste. EGC Gérard Govaert, Mohamed Nadif
2006	J	`jnl`	Fuzzy clustering to estimate the parameters of block mixture models. Soft Comput. Gérard Govaert, Mohamed Nadif
2006	—	`conf`	Pixel-Based Visualization and Density-Based Tabular Model. VIEW Rodolphe Priam, Mohamed Nadif, François-Xavier Jollois
2006	J	`jnl`	Preface. Soft Comput. Gérard Govaert, Reiner Hähnle, Mohamed Nadif
2006	A*	`conf`	Probabilistic Enhanced Mapping with the Generative Tabular Model. ICDM Rodolphe Priam, Mohamed Nadif
2005	—	`conf`	A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table. PKDD Mohamed Nadif, Gérard Govaert
2005	J	`jnl`	An EM Algorithm for the Block Mixture Model. IEEE Trans. Pattern Anal. Mach. Intell. Gérard Govaert, Mohamed Nadif
2005	B	`conf`	Block Clustering of Contingency Table and Mixture Model. IDA Mohamed Nadif, Gérard Govaert
2005	C	`conf`	Block clustering via the block GEM and two-way EM algorithms. AICCSA Mohamed Nadif, Gérard Govaert
2005	—	`conf`	Classification d'un tableau de contingence et modèle probabiliste. EGC Gérard Govaert, Mohamed Nadif
2005	—	`conf`	Evaluation des algorithmes LEM et eLEM pour données continues. EGC François-Xavier Jollois, Mohamed Nadif
2004	—	`conf`	Accélération de EM pour données qualitatives : étude comparative de différentes versions. EGC Mohamed Nadif, François-Xavier Jollois
2004	—	`conf`	Identification de blocs homogènes sur des données continues. EGC François-Xavier Jollois, Mohamed Nadif
2004	—	`conf`	Identification of homogeneous blocks in large binary data sets. Neural Networks and Computational Intelligence François-Xavier Jollois, Mohamed Nadif
2003	—	`conf`	Classification croisée sur des données binaires de grande taille. EGC François-Xavier Jollois, Mohamed Nadif, Gérard Govaert
2003	J	`jnl`	Clustering with block mixture models. Pattern Recognit. Gérard Govaert, Mohamed Nadif
2002	B	`conf`	Clustering Large Categorical Data. PAKDD François-Xavier Jollois, Mohamed Nadif
2002	—	`conf`	Evaluation du nombre de classes dans un cadre bayésien. EGC François-Xavier Jollois, Mohamed Nadif
2002	—	`conf`	Parameters Estimation of Block Mixture Models. COMPSTAT Mohamed Nadif, Gérard Govaert
2001	—	`conf`	Classification de données qualitatives. EGC François-Xavier Jollois, Mohamed Nadif, Franck Marchetti
1991	—	`—`	Classification automatique et données manquantes. (Clustering and missing data). Mohamed Nadif