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    Author information
    First name: Mohamed
    Last name: Nadif
    DBLP: 63/1468
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    Journal article
    Kais Allab, Lazhar Labiod, Mohamed Nadif.
    A Semi-NMF-PCA Unified Framework for Data Clustering.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Journal article
    Kais Allab, Lazhar Labiod, Mohamed Nadif.
    Multi-manifold matrix decomposition for data co-clustering.
    Pattern Recognition 2017, Volume 64 (0) 2017
    Conference paper
    Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif.
    Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data.
    Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II 2017 (0) 2017
    Conference paper
    Charlotte Laclau, Mohamed Nadif.
    Diagonal latent block model for binary data.
    Statistics and Computing 2017, Volume 27 (0) 2017
    Conference paper
    Melissa Ailem, François Role, Mohamed Nadif.
    Sparse Poisson Latent Block Model for Document Clustering.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Journal article
    Kais Allab, Lazhar Labiod, Mohamed Nadif.
    Erratum to 'Multi-Manifold Matrix Decomposition for Data Co-clustering' Pattern Recognition 64 (2017) 386-398.
    Pattern Recognition 2017, Volume 69 (0) 2017
    Conference paper
    Melissa Ailem, Aghiles Salah, Mohamed Nadif.
    Non-negative Matrix Factorization Meets Word Embedding.
    Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017 2017 (0) 2017
    Conference paper
    Aghiles Salah, Mohamed Nadif.
    Model-based von Mises-Fisher Co-clustering with a Conscience.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Journal article
    Melissa Ailem, François Role, Mohamed Nadif.
    Model-based co-clustering for the effective handling of sparse data.
    Pattern Recognition 2017, Volume 72 (0) 2017
    Conference paper
    Aghiles Salah, Mohamed Nadif.
    Social regularized von Mises-Fisher mixture model for item recommendation.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Aghiles Salah, Melissa Ailem, Mohamed Nadif.
    A Way to Boost Semi-NMF for Document Clustering.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif.
    Analyse exploratoire de corpus textuels pour le journalisme dinvestigation.
    17ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2017, 24-27 Janvier 2017, Grenoble, France 2017 (0) 2017
    Journal article
    Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif.
    A dynamic collaborative filtering system via a weighted clustering approach.
    Neurocomputing 2016, Volume 175 (0) 2016
    Journal article
    Rodolphe Priam, Mohamed Nadif, Gérard Govaert.
    Generalized topographic block model.
    Neurocomputing 2016, Volume 173 (0) 2016
    Conference paper
    Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif.
    Vers une approche Visual Analytics pour explorer les variantes de sujets d'un corpus.
    16ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2016, 18-22 Janvier 2016, Reims, France 2016 (0) 2016
    Journal article
    Charlotte Laclau, Mohamed Nadif.
    Hard and fuzzy diagonal co-clustering for document-term partitioning.
    Neurocomputing 2016, Volume 193 (0) 2016
    Conference paper
    Melissa Ailem, François Role, Mohamed Nadif, Florence Demenais.
    Unsupervised text mining for assessing and augmenting GWAS results.
    Journal of Biomedical Informatics 2016, Volume 60 (0) 2016
    Conference paper
    Rodolphe Priam, Mohamed Nadif.
    Data visualization via latent variables and mixture models: a brief survey.
    Pattern Anal. Appl. 2016, Volume 19 (0) 2016
    Conference paper
    Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif.
    Model-based Co-clustering for High Dimensional Sparse Data.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
    Conference paper
    Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif.
    Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III 2016 (0) 2016
    Conference paper
    Lazhar Labiod, Mohamed Nadif.
    Bi-stochastic Matrix Approximation Framework for Data Co-clustering.
    Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Kais Allab, Lazhar Labiod, Mohamed Nadif.
    Power Simultaneous Spectral Data Embedding and Clustering.
    Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 2016 (0) 2016
    Conference paper
    Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif.
    Stochastic Co-clustering for Document-Term Data.
    Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 2016 (0) 2016
    Conference paper
    Melissa Ailem, François Role, Mohamed Nadif.
    Graph modularity maximization as an effective method for co-clustering text data.
    Knowl.-Based Syst. 2016, Volume 109 (0) 2016
    Conference paper
    Kais Allab, Lazhar Labiod, Mohamed Nadif.
    SemiNMF-PCA framework for Sparse Data Co-clustering.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Show item 1 to 25 of 97  

    Your query returned 97 matches in the database.