Arindam Banerjee - Google Scholar Citations

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Citations	19001	11277
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Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin with Courtesy Appointments in ComputerVerified email at utexas.edu
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Varun ChandolaAssistant Professor, Computer Science Department, University at BuffaloVerified email at buffalo.edu
Inderjit S. DhillonAmazon Fellow and Gottesman Family Centennial Professor, CS Dept, UT AustinVerified email at cs.utexas.edu
Hanhuai ShanUniversity of Minnesota, Twin CitiesVerified email at cs.umn.edu
Sugato BasuPrincipal Scientist at GoogleVerified email at google.com
Suvrit SraMITVerified email at mit.edu
Huahua WangUber Advanced Technologies CenterVerified email at cs.umn.edu
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Soumyadeep ChatterjeeData Scientist - Machine Learning, Quora Inc.Verified email at umn.edu
Peter ReichUniversity of MinnesotaVerified email at umn.edu
Franziska SchrodtAssistant Professor, University of Nottingham, UKVerified email at nottingham.ac.uk
André R GonçalvesLawrence Livermore National LaboratoryVerified email at llnl.gov
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Prem MelvilleSocial AlphaVerified email at social-alpha.com
Nikolaos PapanikolopoulosProfessor of Computer Science, University of MinnesotaVerified email at cs.umn.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Jaideep SrivastavaProfessor, University of MinnesotaVerified email at cs.umn.edu
Shiva KasiviswanathanAmazon Machine LearningVerified email at amazon.com

Arindam Banerjee

Professor, Computer Science & Engineering, University of Minnesota, Twin Cities

Verified email at cs.umn.edu - Homepage

Machine Learning Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Anomaly detection: A survey V Chandola, A Banerjee, V Kumar ACM computing surveys (CSUR) 41 (3), 1-58, 2009	7474	2009
Clustering with Bregman divergences A Banerjee, S Merugu, IS Dhillon, J Ghosh Journal of machine learning research 6 (Oct), 1705-1749, 2005	1571	2005
Clustering with Bregman divergences A Banerjee, S Merugu, IS Dhillon, J Ghosh Journal of machine learning research 6 (Oct), 1705-1749, 2005	1571	2005
Semi-supervised clustering by seeding S Basu, A Banerjee, R Mooney In Proceedings of 19th International Conference on Machine Learning (ICML-2002, 2002	1097	2002
Clustering on the unit hypersphere using von Mises-Fisher distributions A Banerjee, IS Dhillon, J Ghosh, S Sra Journal of Machine Learning Research 6 (Sep), 1345-1382, 2005	769	2005
Active semi-supervision for pairwise constrained clustering S Basu, A Banerjee, RJ Mooney Proceedings of the 2004 SIAM international conference on data mining, 333-344, 2004	620	2004
A generalized maximum entropy approach to bregman co-clustering and matrix approximation A Banerjee, I Dhillon, J Ghosh, S Merugu, DS Modha Journal of Machine Learning Research 8 (Aug), 1919-1986, 2007	480	2007
Anomaly detection for discrete sequences: A survey V Chandola, A Banerjee, V Kumar IEEE Transactions on Knowledge and Data Engineering 24 (5), 823-839, 2010	447	2010
Clickstream clustering using weighted longest common subsequences A Banerjee, J Ghosh Proceedings of the web mining workshop at the 1st SIAM conference on data …, 2001	284	2001
Outlier detection: A survey V Chandola, A Banerjee, V Kumar ACM Computing Surveys 14, 15, 2007	244	2007
Model-based overlapping clustering A Banerjee, C Krumpelman, J Ghosh, S Basu, RJ Mooney Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	242	2005
On the optimality of conditional expectation as a Bregman predictor A Banerjee, X Guo, H Wang IEEE Transactions on Information Theory 51 (7), 2664-2669, 2005	205	2005
Bayesian co-clustering H Shan, A Banerjee 2008 Eighth IEEE International Conference on Data Mining, 530-539, 2008	187	2008
Online alternating direction method (longer version) H Wang, A Banerjee arXiv preprint arXiv:1306.3721, 2013	171	2013
Generalized probabilistic matrix factorizations for collaborative filtering H Shan, A Banerjee 2010 IEEE International Conference on Data Mining, 1025-1030, 2010	166	2010
BIG & QUIC: Sparse inverse covariance estimation for a million variables CJ Hsieh, MA Sustik, IS Dhillon, PK Ravikumar, R Poldrack Advances in neural information processing systems, 3165-3173, 2013	164	2013
Social topic models for community extraction N Pathak, C DeLong, A Banerjee, K Erickson The 2nd SNA-KDD workshop 8, 2008, 2008	159	2008
Bayesian cluster ensembles H Wang, H Shan, A Banerjee Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 54-70, 2011	158	2011
Topic models over text streams: A study of batch and online unsupervised learning A Banerjee, S Basu Proceedings of the 2007 SIAM International Conference on Data Mining, 431-436, 2007	158	2007
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	154	2007

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