| Anomaly detection V Chandola, A Banerjee, V Kumar Encyclopedia of Machine Learning and Data Mining, 1-15, 2016 | 14226* | 2016 |
| Anomaly detection: A survey V Chandola, A Banerjee, V Kumar ACM computing surveys (CSUR) 41 (3), 15, 2009 | 14206 | 2009 |
| Clustering with Bregman divergences A Banerjee, S Merugu, IS Dhillon, J Ghosh Journal of machine learning research 6 (Oct), 1705-1749, 2005 | 2170 | 2005 |
| Semi-supervised clustering by seeding S Basu, A Banerjee, R Mooney In Proceedings of 19th International Conference on Machine Learning (ICML-2002, 2002 | 1373 | 2002 |
| 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 | 1238 | 2020 |
| 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 | 1154 | 2017 |
| 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 | 1150 | 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 | 839 | 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 | 799 | 2010 |
| 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 | 580 | 2007 |
| Outlier detection: A survey V Chandola, A Banerjee, V Kumar ACM Computing Surveys 14, 15, 2007 | 449 | 2007 |
| 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 | 329 | 2001 |
| 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 | 312 | 2005 |
| 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 | 309 | 2005 |
| Bayesian co-clustering H Shan, A Banerjee 2008 Eighth IEEE International Conference on Data Mining, 530-539, 2008 | 233 | 2008 |
| Online alternating direction method (longer version) H Wang, A Banerjee arXiv preprint arXiv:1306.3721, 2013 | 227 | 2013 |
| Generalized probabilistic matrix factorizations for collaborative filtering H Shan, A Banerjee 2010 IEEE International Conference on Data Mining, 1025-1030, 2010 | 217 | 2010 |
| Bayesian cluster ensembles H Wang, H Shan, A Banerjee Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 54-70, 2011 | 199 | 2011 |
| Kernelized probabilistic matrix factorization: Exploiting graphs and side information T Zhou, H Shan, A Banerjee, G Sapiro Proceedings of the 2012 SIAM international Conference on Data mining, 403-414, 2012 | 197 | 2012 |
| Mapping local and global variability in plant trait distributions EE Butler, A Datta, H Flores-Moreno, M Chen, KR Wythers, F Fazayeli, ... Proceedings of the National Academy of Sciences 114 (51), E10937-E10946, 2017 | 193 | 2017 |
