Soumyadeep Chatterjee

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Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignEmail confirmado em illinois.edu
Auroop GangulyProfessor, Northeastern University, Boston, MAEmail confirmado em neu.edu
Andre R GoncalvesLawrence Livermore National LaboratoryEmail confirmado em llnl.gov
Karsten SteinhaeuserComputer Science and Engineering, University of MinnesotaEmail confirmado em umn.edu
Sheng ChenPhD student, University of MinnesotaEmail confirmado em umn.edu
Fernando J. Von ZubenDCA/FEEC/UnicampEmail confirmado em dca.fee.unicamp.br
Puja DasMachine Learning Scientist, Apple Inc.Email confirmado em umn.edu
Huahua WangUber Advanced Technologies CenterEmail confirmado em cs.umn.edu
Amit KonarProfessor of Electronics and Tele-Communication Department, Jadavpur UniversityEmail confirmado em etce.jdvu.ac.in
Stefan LiessResearch Associate, University of Minnesota-Twin CitiesEmail confirmado em umn.edu
Kasturi BhattacharjeeApplied Scientist, AWS AIEmail confirmado em amazon.com
Vipin KumarUniversity of MinnesotaEmail confirmado em umn.edu
Amir AsiaeeVanderbilt University Medical CenterEmail confirmado em vumc.org
Dr. R. JanarthananProfessor, Department of Computer Science and Engineering, Chennai Institute of TechnologyEmail confirmado em citchennai.net
Sheng ChenProfessor, University of SouthamptonEmail confirmado em ecs.soton.ac.uk

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Soumyadeep Chatterjee

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Machine Learning Artificial Intelligence Statistics Data Mining


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Sparse group lasso: Consistency and climate applications S Chatterjee, K Steinhaeuser, A Banerjee, S Chatterjee, A Ganguly Proceedings of the 2012 SIAM International Conference on Data Mining, 47-58, 2012	97	2012
Generalized dantzig selector: Application to the k-support norm S Chatterjee, S Chen, A Banerjee Advances in Neural Information Processing Systems 27, 2014	44	2014
Multi-task sparse structure learning AR Gonçalves, P Das, S Chatterjee, V Sivakumar, FJ Von Zuben, ... Proceedings of the 23rd ACM International Conference on Conference on …, 2014	36	2014
Gaussian Copula Precision Estimation with Missing Values H Wang, F Fazayeli, S Chatterjee, A Banerjee AISTATS, 2014	20	2014
Sparse group lasso for regression on land climate variables S Chatterjee, A Banerjee, S Chatterjee, AR Ganguly 2011 IEEE 11th International Conference on Data Mining Workshops, 1-8, 2011	19	2011
Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J Von Zuben, and Arindam Banerjee. Multi-task sparse structure learning AR Goncalves Proceedings of the 23rd ACM International Conference on Conference on …, 2014	9	2014
Structured estimation in high dimensions: Applications in climate AR Goncalves, A Banerjee, V Sivakumar, S Chatterjee Large-Scale Machine Learning in the Earth Sciences, 13-32, 2017	4	2017
Understanding dominant factors for precipitation over the great lakes region S Chatterjee, S Liess, A Banerjee, V Kumar Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	2	2016
A simple and robust algorithm for microarray data clustering based on gene population‐variance ratio metric S Chatterjee, K Bhattacharjee, A Konar Biotechnology Journal 4 (9), 1357-1361, 2009	2	2009
High Dimensional Statistical Models: Applications to Climate S Chatterjee University of Minnesota, 2015	1	2015
High Dimensional Structured Estimation with Noisy Designs. A Asiaee, S Chatterjee, A Banerjee SDM, 801-809, 2016		2016
An Improved Method for Clustering Gene Microarray Data Based on Intra-Cluster Distance and Variance K Bhattacharjee, S Chatterjee, A Konar, R Janarthanan 2009 IEEE International Advance Computing Conference, 20-25, 2009		2009
ICDM 2011 Reviewers A Abdullin, Z Abraham, I Adeyanju, N Adluru, M Adnan, S Aghakhani, ...
2015 Reviewer Thanks J Albert, F Alexander, A Banerjee, T Barnes, R Bartlett, D Baxter, J Benek, ...
ROBUSTNESS AND SYNTHESIS OF EARTH SYSTEM MODELS (ESMS): AMulti-TASK LEARNING PERSPECTIVE AR Gonçalves, V Sivakumar, S Chatterjee, D Kumar, S Chatterjee, ...
Mixture of Regression Models for Precipitation Prediction S Chatterjee, A Banerjee, S Chatterjee, A Ganguly

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