Mohamed Nadif

According to our database1, Mohamed Nadif authored at least 103 papers between 1991 and 2018.

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

Timeline

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Bibliography

2018
Simultaneous Spectral Data Embedding and Clustering.
IEEE Trans. Neural Netw. Learning Syst., 2018

Mutual information, phi-squared and model-based co-clustering for contingency tables.
Adv. Data Analysis and Classification, 2018

Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Sparse Poisson Latent Block Model for Document Clustering.
IEEE Trans. Knowl. Data Eng., 2017

Diagonal latent block model for binary data.
Statistics and Computing, 2017

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

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

Model-based co-clustering for the effective handling of sparse data.
Pattern Recognition, 2017

Social regularized von Mises-Fisher mixture model for item recommendation.
Data Min. Knowl. Discov., 2017

Non-negative Matrix Factorization Meets Word Embedding.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Model-based von Mises-Fisher Co-clustering with a Conscience.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

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

Analyse exploratoire de corpus textuels pour le journalisme d’investigation.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

A Way to Boost Semi-NMF for Document Clustering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Data visualization via latent variables and mixture models: a brief survey.
Pattern Anal. Appl., 2016

Graph modularity maximization as an effective method for co-clustering text data.
Knowl.-Based Syst., 2016

Unsupervised text mining for assessing and augmenting GWAS results.
Journal of Biomedical Informatics, 2016

A dynamic collaborative filtering system via a weighted clustering approach.
Neurocomputing, 2016

Generalized topographic block model.
Neurocomputing, 2016

Hard and fuzzy diagonal co-clustering for document-term partitioning.
Neurocomputing, 2016

Stochastic Co-clustering for Document-Term Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

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

Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Visual exploration of topic variants through a hybrid biclustering approach.
Proceedings of the Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine, 2016

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

Vers une approche Visual Analytics pour explorer les variantes de sujets d'un corpus.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

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

Model-based Co-clustering for High Dimensional Sparse Data.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A Unified Framework for Data Visualization and Coclustering.
IEEE Trans. Neural Netw. Learning Syst., 2015

Diagonal Co-clustering Algorithm for Document-Word Partitioning.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

An Efficient Incremental Collaborative Filtering System.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Adaptive Threshold for Anomaly Detection Using Time Series Segmentation.
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

Fuzzy co-clustering with automated variable weighting.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Compromis précision-rappel dans l'évaluation des performances.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Topographic Bernoulli block mixture mapping for binary tables.
Pattern Anal. Appl., 2014

Beyond cluster labeling: Semantic interpretation of clusters' contents using a graph representation.
Knowl.-Based Syst., 2014

Visual analytics of text streams through multiple dynamic frequency matrices.
Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology, 2014

Fast Simultaneous Clustering and Feature Selection for Binary Data.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Aggregation of Biclustering Solutions for Ensemble Approach.
Proceedings of the Pattern Recognition Applications and Methods, 2014

Unsupervised Consensus Functions Applied to Ensemble Biclustering.
Proceedings of the ICPRAM 2014, 2014

2013
Data Leak Aware Crowdsourcing in Social Network
CoRR, 2013

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

Gaussian Topographic Co-clustering Model.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Precision-recall space to correct external indices for biclustering.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Ensemble methods for biclustering tasks.
Pattern Recognition, 2012

Data Leak Aware Crowdsourcing in Social Network.
Proceedings of the Web Information Systems Engineering - WISE 2011 and 2012 Workshops, 2012

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

Nonlinear Mapping by Constrained Co-clustering.
Proceedings of the ICPRAM 2012, 2012

Generative Topographic Mapping and Factor Analyzers.
Proceedings of the ICPRAM 2012, 2012

Classification topologique probabiliste pour des données catégorielles.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

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

2011
Using the bagging approach for biclustering of gene expression data.
Neurocomputing, 2011

Weighted Topological Clustering for Categorical Data.
Proceedings of the Neural Information Processing - 18th International Conference, 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

Handling the Impact of Low Frequency Events on Co-occurrence based Measures of Word Similarity - A Case Study of Pointwise Mutual Information.
Proceedings of the KDIR 2011, 2011

PPMI : étude formelle d'une variante à valeurs positives de la PMI.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Block Mixture Model for the Biclustering of Microarray Data.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

Different Variants of Normalized EM Algorithm for Gene Expression Data.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

2010
Bagging for Biclustering: Application to Microarray Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Multinomial Self Organizing Maps.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Visualization of Document Clusters - An Interactive Visual Tool to Browse Textual Documents.
Proceedings of the IMAGAPP 2010 - Proceedings of the International Conference on Imaging Theory and Applications and IVAPP 2010 - Proceedings of the International Conference on Information Visualization Theory and Applications, Angers, France, May 17, 2010

Model-Based Co-clustering for Continuous Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Bagged Biclustering for Microarray Data.
Proceedings of the ECAI 2010, 2010

2009
Mixture Model and MDSDCA for Textual Data.
Proceedings of the Cooperative Design, 2009

2008
Block clustering with Bernoulli mixture models: Comparison of different approaches.
Computational Statistics & Data Analysis, 2008

Visualisation du parcours des fichiers attachés aux messages électroniques.
Proceedings of the 20th international conference on Association Francophone d'Interaction Homme-Machine, 2008

Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Algorithms for Model-based Block Gaussian Clustering.
Proceedings of The 2008 International Conference on Data Mining, 2008

The Block Generative Topographic Mapping.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Speed-up for the expectation-maximization algorithm for clustering categorical data.
J. Global Optimization, 2007

Clustering of contingency table and mixture model.
European Journal of Operational Research, 2007

Clustering and assessing the number of clusters with accelerated EM variant.
Proceedings of the First International Conference on Research Challenges in Information Science, 2007

2006
Fuzzy clustering to estimate the parameters of block mixture models.
Soft Comput., 2006

Preface.
Soft Comput., 2006

Pixel-Based Visualization and Density-Based Tabular Model.
Proceedings of the Pixelization Paradigm, First Visual Information Expert Workshop, 2006

Probabilistic Enhanced Mapping with the Generative Tabular Model.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Carte auto-organisatrice probabiliste sur données binaires.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Classification d'un tableau de contingence et modèle probabiliste.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

2005
An EM Algorithm for the Block Mixture Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Block Clustering of Contingency Table and Mixture Model.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Evaluation des algorithmes LEM et eLEM pour données continues.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Classification d'un tableau de contingence et modèle probabiliste.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Block clustering via the block GEM and two-way EM algorithms.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2004
Identification of homogeneous blocks in large binary data sets.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Accélération de EM pour données qualitatives : étude comparative de différentes versions.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Identification de blocs homogènes sur des données continues.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2003
Clustering with block mixture models.
Pattern Recognition, 2003

Classification croisée sur des données binaires de grande taille.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

2002
Clustering Large Categorical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Evaluation du nombre de classes dans un cadre bayésien.
Proceedings of the Extraction et gestion des connaissances (EGC'2002), 2002

2001
Classification de données qualitatives.
Proceedings of the Extraction et gestion des connaissances (EGC'2001), 2001

1991
Classification automatique et données manquantes. (Clustering and missing data).
PhD thesis, 1991


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