| Clustering with Bregman divergences A Banerjee, S Merugu, IS Dhillon, J Ghosh Journal of machine learning research 6 (Oct), 1705-1749, 2005 | 2217 | 2005 |
| A scalable collaborative filtering framework based on co-clustering T George, S Merugu Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005 | 727 | 2005 |
| A generalized maximum entropy approach to bregman co-clustering and matrix approximation A Banerjee, I Dhillon, J Ghosh, S Merugu, DS Modha Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 592 | 2004 |
| Privacy-preserving distributed clustering using generative models S Merugu, J Ghosh Third IEEE International Conference on Data Mining, 211-218, 2003 | 308 | 2003 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 232 | 2022 |
| Multi-way clustering on relation graphs A Banerjee, S Basu, S Merugu Proceedings of the 2007 SIAM international conference on data mining, 145-156, 2007 | 179 | 2007 |
| Exploiting coherence for the simultaneous discovery of latent facets and associated sentiments H Lakkaraju, C Bhattacharyya, I Bhattacharya, S Merugu Proceedings of the 2011 SIAM international conference on data mining, 498-509, 2011 | 141 | 2011 |
| A web of concepts N Dalvi, R Kumar, B Pang, R Ramakrishnan, A Tomkins, P Bohannon, ... Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009 | 127 | 2009 |
| Predictive discrete latent factor models for large scale dyadic data D Agarwal, S Merugu Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 97 | 2007 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 91 | 2021 |
| A consensus framework for integrating distributed clusterings under limited knowledge sharing J Ghosh, A Strehl, S Merugu Proc. NSF Workshop on Next Generation Data Mining, 99-108, 2002 | 86 | 2002 |
| Extracting rich temporal context for business entities and events S Merugu, SK Selvaraj, V Agarwal, AK Choudhury US Patent 8,606,564, 2013 | 82 | 2013 |
| Apparatus and methods for concept-centric information extraction D Kifer, S Merugu, A Jain, SK Selvaraj, AS Kirpal, PL Bohannon, ... US Patent App. 12/408,450, 2010 | 73 | 2010 |
| Predictive discrete latent factor models for large scale dyadic data D Agarwal, S Merugu US Patent 7,953,676, 2011 | 71 | 2011 |
| Clustering with Bregman Divergences JG Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon SDM, 234-245, 2004 | 62* | 2004 |
| A distributed learning framework for heterogeneous data sources S Merugu, J Ghosh Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 52 | 2005 |
| User interface for managing questions and answers across multiple social media data sources RC Kanjirathinkal, S Merugu, AK Singh, K Visweswariah US Patent 9,424,611, 2016 | 49 | 2016 |
| An information theoretic analysis of maximum likelihood mixture estimation for exponential families A Banerjee, I Dhillon, J Ghosh, S Merugu Proceedings of the twenty-first international conference on Machine learning, 8, 2004 | 49 | 2004 |
| A privacy-sensitive approach to distributed clustering S Merugu, J Ghosh Pattern Recognition Letters 26 (4), 399-410, 2005 | 48 | 2005 |
| Recommending product sizes to customers V Sembium, R Rastogi, A Saroop, S Merugu Proceedings of the eleventh ACM conference on recommender systems, 243-250, 2017 | 46 | 2017 |
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
