M. Nadif

发表

Latent Block Model for Contingency Table

G. Govaert, M. Nadif, 2010 .

Ensemble methods for biclustering tasks

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2012, Pattern Recognit..

Clustering Using EM and CEM , Cluster Number Selection Via the Von Mises-Fisher Mixture Models

M. Nadif, W. P. Bouberima, Y. Bencheikh, 2013 .

Assessing the Number of Clusters From a Mixture of Von Mises-Fisher

M. Nadif, Y. Bencheikh, Wafia Bouberima Parr, 2010 .

Block Bernoulli Parsimonious Clustering Models

G. Govaert, M. Nadif, 2007 .

Assessing the Number of Clusters of the Latent Class Model

G. Govaert, M. Nadif, François-Xavier Jollois, 2002 .

Clustering for binary data and mixture models—choice of the model

G. Govaert, M. Nadif, 1997 .

Improving NMF clustering by leveraging contextual relationships among words

M. Nadif, Mickael Febrissy, Aghiles Salah, 2022, Neurocomputing.

Endotypes identified by cluster analysis in asthmatics and non-asthmatics and their clinical characteristics at follow-up: the case-control EGEA study

M. Nadif, V. Siroux, I. Pin, 2020, BMJ open respiratory research.

Modularity and Spectral Co-Clustering for Categorical Data

M. Nadif, Lazhar Labiod, 2011 .

Association between occupational exposure to irritant agents and a distinct asthma endotype in adults

M. Nadif, V. Siroux, H. Kromhout, 2021, Occupational and Environmental Medicine.

An effective strategy for churn prediction and customer profiling

M. Nadif, Séverine Affeldt, L. Geiler, 2022, Data Knowl. Eng..

Tensor-based Graph Modularity for Text Data Clustering

Mira Ait Saada, Steffen Staab, M. Nadif, 2022, SIGIR.

Study of consensus functions in the context of ensemble methods for biclustering

M. Nadif, B. Hanczar, 2013 .

Block clustering with mixture model : comparison of different approaches

G. Govaert, M. Nadif, 2005 .

7. Cluster Analysis

Gérard Govaert, Mohamed Nadif, G. Govaert, 2010 .

Regularized bi-directional co-clustering

M. Nadif, Séverine Affeldt, Lazhar Labiod, 2021, Statistics and Computing.

Mutual information, phi-squared and model-based co-clustering for contingency tables

G. Govaert, M. Nadif, 2016, Advances in Data Analysis and Classification.

Multi-manifold matrix decomposition for data co-clustering

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

Generalized topographic block model

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2016, Neurocomputing.

Clustering with block mixture models

Gérard Govaert, Mohamed Nadif, G. Govaert, 2003, Pattern Recognit..

A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, PKDD.

Block clustering via the block GEM and two-way EM algorithms

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005..

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

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

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

Mohamed Nadif, François Role, M. Nadif, 2011, KDIR.

Directional co-clustering

Mohamed Nadif, Aghiles Salah, M. Nadif, 2019, Adv. Data Anal. Classif..

Hard and fuzzy diagonal co-clustering for document-term partitioning

Mohamed Nadif, Charlotte Laclau, M. Nadif, 2016, Neurocomputing.

Block clustering with Bernoulli mixture models: Comparison of different approaches

Gérard Govaert, Mohamed Nadif, G. Govaert, 2008, Comput. Stat. Data Anal..

Algorithms for Model-based Block Gaussian Clustering

Gérard Govaert, Mohamed Nadif, G. Govaert, 2008, DMIN.

Fuzzy clustering to estimate the parameters of block mixture models

Mohamed Nadif, Gérard Govaert, G. Govaert, 2006, Soft Comput..

Another Version of the Block EM Algorithm

Gérard Govaert, Mohamed Nadif, G. Govaert, 2004 .

Parameters Estimation of Block Mixture Models

Gérard Govaert, Mohamed Nadif, G. Govaert, 2002, COMPSTAT.

Unsupervised text mining for assessing and augmenting GWAS results

Mohamed Nadif, Melissa Ailem, Florence Demenais, 2016, J. Biomed. Informatics.

A survey on machine learning methods for churn prediction

M. Nadif, Séverine Affeldt, L. Geiler, 2022, International Journal of Data Science and Analytics.

CoClust: A Python Package for Co-Clustering

Mohamed Nadif, François Role, Stanislas Morbieu, 2019, Journal of Statistical Software.

Social regularized von Mises–Fisher mixture model for item recommendation

Mohamed Nadif, Aghiles Salah, M. Nadif, 2017, Data Mining and Knowledge Discovery.

Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

Mohamed Nadif, Aghiles Salah, Melissa Ailem, 2018, AAAI.

A Semi-NMF-PCA Unified Framework for Data Clustering

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

Unsupervised and self-supervised deep learning approaches for biomedical text mining

Mohamed Nadif, François Role, M. Nadif, 2021, Briefings Bioinform..

Regularized Dual-PPMI Co-clustering for Text Data

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

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

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

Wasserstein Embeddings for Nonnegative Matrix Factorization

Mohamed Nadif, Mickael Febrissy, M. Nadif, 2020, LOD.

A Way to Boost Semi-NMF for Document Clustering

Mohamed Nadif, Aghiles Salah, Melissa Ailem, 2017, CIKM.

Non-negative Matrix Factorization Meets Word Embedding

Mohamed Nadif, Aghiles Salah, Melissa Ailem, 2017, SIGIR.

Unsupervised anomaly detection for Aircraft Condition Monitoring System

Mohamed Nadif, Mohamed Cherif Dani, Cassiano Freixo, 2015, 2015 IEEE Aerospace Conference.

Efficient Graph Convolution for Joint Node Representation Learning and Clustering

M. Nadif, Lazhar Labiod, Chakib Fettal, 2022, WSDM.

Diagonal latent block model for binary data

Mohamed Nadif, Charlotte Laclau, M. Nadif, 2016, Statistics and Computing.

Sparse Poisson Latent Block Model for Document Clustering

Mohamed Nadif, Melissa Ailem, François Role, 2017, IEEE Transactions on Knowledge and Data Engineering.

Model-based Co-clustering for High Dimensional Sparse Data

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, AISTATS.

Data visualization via latent variables and mixture models: a brief survey

Mohamed Nadif, Rodolphe Priam, M. Nadif, 2015, Pattern Analysis and Applications.

Fast Simultaneous Clustering and Feature Selection for Binary Data

Mohamed Nadif, Charlotte Laclau, M. Nadif, 2014, IDA.

Topographic Bernoulli block mixture mapping for binary tables

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2014, Pattern Analysis and Applications.

The Block Generative Topographic Mapping

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2008, ANNPR.

Clustering of contingency table and mixture model

Gérard Govaert, Mohamed Nadif, G. Govaert, 2007, Eur. J. Oper. Res..

Speed-up for the expectation-maximization algorithm for clustering categorical data

M. Nadif, F.-X. Jollois, M. Nadif, 2007, J. Glob. Optim..

Block Clustering of Contingency Table and Mixture Model

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, IDA.

An EM algorithm for the block mixture model

Gérard Govaert, Mohamed Nadif, G. Govaert, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Clustering Large Categorical Data

Mohamed Nadif, François-Xavier Jollois, M. Nadif, 2002, PAKDD.

Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data

Gérard Govaert, Mohamed Nadif, G. Govaert, 1996 .

Mutual information, phi-squared and model-based co-clustering for contingency tables

Gérard Govaert, Mohamed Nadif, G. Govaert, 2018, Adv. Data Anal. Classif..

Co-Clustering: Models, Algorithms and Applications

Gérard Govaert, Mohamed Nadif, G. Govaert, 2013 .

Data Leak Aware Crowdsourcing in Social Network

Salima Benbernou, Athman Bouguettaya, Mohamed Nadif, 2013, WISE Workshops.

Visual exploration of topic variants through a hybrid biclustering approach

Mohamed Nadif, Mohammad Ghoniem, Nicolas Médoc, 2016, IHM.

Graph modularity maximization as an effective method for co-clustering text data

Mohamed Nadif, Melissa Ailem, François Role, 2016, Knowl. Based Syst..

A dynamic collaborative filtering system via a weighted clustering approach

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, Neurocomputing.

An Efficient Incremental Collaborative Filtering System

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2015, ICONIP.

Precision-recall space to correct external indices for biclustering

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2013, ICML.

Co-clustering under Nonnegative Matrix Tri-Factorization

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

Co-clustering

Mohamed Nadif, Grard Govaert, M. Nadif, 2013, Encyclopedia of Database Systems.

Subspace Co-clustering with Two-Way Graph Convolution

M. Nadif, Lazhar Labiod, Chakib Fettal, 2022, CIKM.

Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora

M. Nadif, Mira Ait-Saada, 2023, EACL.

A Unified Framework for Data Visualization and Coclustering

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

Implicit consensus clustering from multiple graphs

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

Diagonal Co-clustering Algorithm for Document-Word Partitioning

Mohamed Nadif, Charlotte Laclau, M. Nadif, 2015, IDA.

Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2018, ECML/PKDD.

Data visualization via latent variables and mixture models: a brief survey

M. Nadif, R. Priam, 2016, Pattern Analysis and Applications.

Topographic Bernoulli block mixture mapping for binary tables

G. Govaert, M. Nadif, R. Priam, 2014, Pattern Analysis and Applications.

Clustering Algorithms of Microarray Data

Haifa Ben Saber, Mourad Elloumi, Mohamed Nadif, 2013 .

Gaussian Topographic Co-clustering Model

Gérard Govaert, Mohamed Nadif, Rodolphe Priam, 2013, IDA.

Different Variants of Normalized EM Algorithm for Gene Expression Data

Mohamed Nadif, W. Parr Bouberima, Y. Khemal Bencheikh, 2011, 2011 22nd International Workshop on Database and Expert Systems Applications.

Probabilistic Enhanced Mapping with the Generative Tabular Model

Mohamed Nadif, Rodolphe Priam, M. Nadif, 2006, Sixth International Conference on Data Mining (ICDM'06).

Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering

M. Nadif, Lazhar Labiod, Chakib Fettal, 2023, WSDM.

A topographical nonnegative matrix factorization algorithm

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

Poisson degree corrected dynamic stochastic block model

M. Nadif, S. Fossier, Paul Riverain, 2022, Advances in Data Analysis and Classification.

Diagonal latent block model for binary data

M. Nadif, Charlotte Laclau, 2016, Statistics and Computing.

Generative Topographic Mapping and Factor Analyzers

Mohamed Nadif, Rodolphe Priam, M. Nadif, 2012, ICPRAM.

Adaptive Threshold for Anomaly Detection Using Time Series Segmentation

Mohamed Nadif, Cassiano Freixo, François-Xavier Jollois, 2015, ICONIP.

SemiNMF-PCA framework for Sparse Data Co-clustering

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

Simultaneous Semi-NMF and PCA for Clustering

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

How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach

Mohamed Nadif, François Role, Mira Ait Saada, 2021, CIKM.

Unsupervised Methods for the Study of Transformer Embeddings

Mohamed Nadif, François Role, Mira Ait Saada, 2021, IDA.

A Consensus Approach to Improve NMF Document Clustering

Mohamed Nadif, Mickael Febrissy, M. Nadif, 2020, IDA.

Tensor latent block model for co-clustering

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

Sparse Tensor Co-clustering as a Tool for Document Categorization

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

Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings

Mohamed Nadif, François Role, Stanislas Morbieu, 2018, CIKM.

Unsupervised Consensus Functions Applied to Ensemble Biclustering

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2014, ICPRAM.

Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity

Mohamed Nadif, Melissa Ailem, François Role, 2015, CIKM.

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.

Co-clustering for Binary Data with Maximum Modularity

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

Power Attributed Graph Embedding and Clustering

M. Nadif, Lazhar Labiod, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Is Anisotropy Truly Harmful? A Case Study on Text Clustering

M. Nadif, Mira Ait-Saada, 2023, ACL.

Semi-supervised Latent Block Model with pairwise constraints

M. Nadif, S. Fossier, Paul Riverain, 2022, Machine Learning.

Aggregation of Biclustering Solutions for Ensemble Approach

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2014, ICPRAM.

Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2011, 2011 22nd International Workshop on Database and Expert Systems Applications.

Using the bagging approach for biclustering of gene expression data

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2011, Neurocomputing.

Bagging for Biclustering: Application to Microarray Data

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2010, ECML/PKDD.

Bagged Biclustering for Microarray Data

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2010, ECAI.

Efficient regularized spectral data embedding

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