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    Author information
    First name: Ayan
    Last name: Acharya
    DBLP: 53/770
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    Below you find the publications which have been written by this author.

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    Conference paper
    Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou.
    Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices.
    Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 2015 (0) 2015
    Conference paper
    Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh.
    A differential evolution algorithm to optimise the combination of classifier and cluster ensembles.
    IJBIC 2015, Volume 7 (0) 2015
    Conference paper
    Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh.
    Using metaheuristics to optimize the combination of classifier and cluster ensembles.
    Integrated Computer-Aided Engineering 2015, Volume 22 (0) 2015
    Conference paper
    Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh.
    Gamma Process Poisson Factorization for Joint Modeling of Network and Documents.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I 2015 (0) 2015
    Conference paper
    Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh.
    Nonparametric Poisson Factorization Machine.
    2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015 2015 (0) 2015
    Conference paper
    Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh.
    Active Multitask Learning Using Both Latent and Supervised Shared Topics.
    Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 2014 (0) 2014
    Journal article
    Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya.
    An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.
    TKDD 2014, Volume 9 (0) 2014
    Conference paper
    Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka.
    Using Both Latent and Supervised Shared Topics for Multitask Learning.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II 2013 (0) 2013
    Conference paper
    Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh.
    Noisy Matrix Completion Using Alternating Minimization.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II 2013 (0) 2013
    Conference paper
    Joydeep Ghosh, Ayan Acharya.
    Cluster Ensembles: Theory and Applications.
    Data Clustering: Algorithms and Applications 2013 (0) 2013
    Show item 1 to 10 of 31  

    Your query returned 31 matches in the database.