Arindam Banerjee

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Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEVerified email at utexas.edu
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Hanhuai ShanUniversity of Minnesota, Twin CitiesVerified email at cs.umn.edu
Varun ChandolaAssociate Professor, Computer Science Department, University at BuffaloVerified email at buffalo.edu
Sugato BasuPrincipal Scientist at GoogleVerified email at google.com
Huahua WangUber Advanced Technologies CenterVerified email at cs.umn.edu
Suvrit SraMITVerified email at mit.edu
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Srujana MeruguIndependent ML ResearcherVerified email at google.com
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Sheng ChenPhD student, University of MinnesotaVerified email at umn.edu
Peter ReichUniversity of MinnesotaVerified email at umn.edu
Franziska SchrodtAssistant Professor, University of Nottingham, UKVerified email at nottingham.ac.uk
Soumyadeep ChatterjeeData Scientist - Machine Learning, Quora Inc.Verified email at umn.edu
Anuj KarpatneVirginia TechVerified email at vt.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
André R GonçalvesLawrence Livermore National LaboratoryVerified email at llnl.gov
Jens KattgeMax Planck Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Prem MelvilleSocial AlphaVerified email at social-alpha.com

Arindam Banerjee

Founder Professor, Dept of Computer Science, University of Illinois Urbana-Champaign

Verified email at illinois.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	9496	2009
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	1761	2005
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	1761	2005
Semi-supervised clustering by seeding S Basu, A Banerjee, R Mooney In Proceedings of 19th International Conference on Machine Learning (ICML-2002, 2002	1207	2002
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. A Banerjee, IS Dhillon, J Ghosh, S Sra, G Ridgeway Journal of Machine Learning Research 6 (9), 2005	889	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	689	2004
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	556	2010
A generalized maximum entropy approach to bregman co-clustering and matrix approximation A Banerjee, I Dhillon, J Ghosh, S Merugu, DS Modha The Journal of Machine Learning Research 8, 1919-1986, 2007	518	2007
Theory-guided data science: A new paradigm for scientific discovery from data A Karpatne, G Atluri, JH Faghmous, M Steinbach, A Banerjee, A Ganguly, ... IEEE Transactions on knowledge and data engineering 29 (10), 2318-2331, 2017	351	2017
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	306	2001
Outlier detection: A survey V Chandola, A Banerjee, V Kumar ACM Computing Surveys 14, 15, 2007	297	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	268	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	233	2005
TRY plant trait database–enhanced coverage and open access J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ... Global change biology 26 (1), 119-188, 2020	214	2020
Bayesian co-clustering H Shan, A Banerjee 2008 Eighth IEEE International Conference on Data Mining, 530-539, 2008	212	2008
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables. CJ Hsieh, MA Sustik, IS Dhillon, P Ravikumar, RA Poldrack NIPS 26, 3165-3173, 2013	189	2013
Generalized probabilistic matrix factorizations for collaborative filtering H Shan, A Banerjee 2010 IEEE International Conference on Data Mining, 1025-1030, 2010	184	2010
Online alternating direction method (longer version) H Wang, A Banerjee arXiv preprint arXiv:1306.3721, 2013	182	2013
Bayesian cluster ensembles H Wang, H Shan, A Banerjee Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 54-70, 2011	175	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	172	2007

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