Arindam Banerjee
Arindam Banerjee
Professor, Computer Science & Engineering, University of Minnesota, Twin Cities
Verified email at cs.umn.edu - Homepage
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
79562009
Clustering with Bregman divergences
A Banerjee, S Merugu, IS Dhillon, J Ghosh
Journal of machine learning research 6 (Oct), 1705-1749, 2005
16202005
Clustering with Bregman divergences
A Banerjee, S Merugu, IS Dhillon, J Ghosh
Journal of machine learning research 6 (Oct), 1705-1749, 2005
16202005
Semi-supervised clustering by seeding
S Basu, A Banerjee, R Mooney
In Proceedings of 19th International Conference on Machine Learning (ICML-2002, 2002
11262002
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
8012005
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
6422004
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
4922007
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
4682010
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
2872001
Outlier detection: A survey
V Chandola, A Banerjee, V Kumar
ACM Computing Surveys 14, 15, 2007
2552007
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
2452005
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
2232005
Bayesian co-clustering
H Shan, A Banerjee
2008 Eighth IEEE International Conference on Data Mining, 530-539, 2008
1972008
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
1882017
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
1742013
Online alternating direction method (longer version)
H Wang, A Banerjee
arXiv preprint arXiv:1306.3721, 2013
1722013
Generalized probabilistic matrix factorizations for collaborative filtering
H Shan, A Banerjee
2010 IEEE International Conference on Data Mining, 1025-1030, 2010
1712010
Bayesian cluster ensembles
H Wang, H Shan, A Banerjee
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 54-70, 2011
1622011
Social topic models for community extraction
N Pathak, C DeLong, A Banerjee, K Erickson
The 2nd SNA-KDD workshop 8, 2008, 2008
1582008
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
1582007
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