Top 10 algorithms in data mining X Wu, V Kumar, J Ross Quinlan, J Ghosh, Q Yang, H Motoda, ... Knowledge and information systems 14, 1-37, 2008 | 7761 | 2008 |
Cluster ensembles---a knowledge reuse framework for combining multiple partitions A Strehl, J Ghosh Journal of machine learning research 3 (Dec), 583-617, 2002 | 6308 | 2002 |
Clustering with Bregman Divergences A Banerjee, S Merugu, I Dhillon, J Ghosh Proceedings of the Fourth SIAM International Conference on Data Mining 117, 234, 2004 | 2185 | 2004 |
Investigation of the random forest framework for classification of hyperspectral data J Ham, Y Chen, MM Crawford, J Ghosh IEEE Transactions on Geoscience and Remote Sensing 43 (3), 492-501, 2005 | 1251 | 2005 |
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. A Banerjee, IS Dhillon, J Ghosh, S Sra Journal of Machine Learning Research 6 (9), 2005 | 1168 | 2005 |
Impact of similarity measures on web-page clustering A Strehl, J Ghosh, R Mooney Workshop on artificial intelligence for web search (AAAI 2000) 58, 64, 2000 | 1134 | 2000 |
The top ten algorithms in data mining X Wu, V Kumar CRC press, 2009 | 1119 | 2009 |
Discovering important people and objects for egocentric video summarization YJ Lee, J Ghosh, K Grauman 2012 IEEE conference on computer vision and pattern recognition, 1346-1353, 2012 | 886 | 2012 |
Error correlation and error reduction in ensemble classifiers K Tumer, J Ghosh Connection science 8 (3-4), 385-404, 1996 | 842 | 1996 |
Explainable machine learning in deployment U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 667 | 2020 |
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 | 582 | 2004 |
Analysis of decision boundaries in linearly combined neural classifiers K Tumer, J Ghosh Pattern recognition 29 (2), 341-348, 1996 | 482 | 1996 |
A unified framework for model-based clustering S Zhong, J Ghosh The Journal of Machine Learning Research 4, 1001-1037, 2003 | 443 | 2003 |
The pi-sigma network: An efficient higher-order neural network for pattern classification and function approximation Y Shin, J Ghosh IJCNN-91-Seattle international joint conference on neural networks 1, 13-18, 1991 | 398 | 1991 |
Best-bases feature extraction algorithms for classification of hyperspectral data S Kumar, J Ghosh, MM Crawford IEEE Transactions on Geoscience and remote sensing 39 (7), 1368-1379, 2001 | 368 | 2001 |
An active learning approach to hyperspectral data classification S Rajan, J Ghosh, MM Crawford IEEE Transactions on Geoscience and Remote Sensing 46 (4), 1231-1242, 2008 | 348 | 2008 |
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 | 331 | 2001 |
A comprehensive analytical model for wormhole routing in multicomputer systems JT Draper, J Ghosh Journal of Parallel and Distributed Computing 23 (2), 202-214, 1994 | 325 | 1994 |
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 |
Privacy-preserving distributed clustering using generative models S Merugu, J Ghosh Third IEEE International Conference on Data Mining, 211-218, 2003 | 303 | 2003 |