Joydeep Ghosh

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Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Kagan TumerOregon State UniversityVerified email at oregonstate.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Alexander StrehlProfessor, International Business School, University of AalenVerified email at strehl.com
Ayan AcharyaLinkedIn Inc.Verified email at utexas.edu
Srujana MeruguAmazonVerified email at amazon.com
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Joyce C HoEmory UniversityVerified email at emory.edu
Sanmi KoyejoAssistant Professor, Stanford UniversityVerified email at stanford.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Gunjan GuptaPrincipal & Founder, Lightsphere AI IncVerified email at lightsphereai.com
Shi ZhongGoogle Inc.Verified email at utexas.edu
Yubin ParkBonsai ResearchVerified email at utexas.edu
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Alan BovikCockrell Family Regents Endowed Chair Professor, The University of Texas at AustinVerified email at ece.utexas.edu
V Srinivasa ChakravarthyIndian Institute of Technology MadrasVerified email at ee.iitm.ac.in
Jette HendersonVerified email at cognitivescale.com
Eduardo R. HruschkaUniversity of São Paulo (USP), BrazilVerified email at usp.br
Goo JunHuman Genetics Center, School of Public Health, University of Texas Health Science Center HoustonVerified email at uth.tmc.edu
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn

Joydeep Ghosh

(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombs

Verified email at utexas.edu - Homepage

Machine Learning Data Mining Ethical AI Personalization Health Informatics


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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	7384	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	6101	2002
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	2110	2005
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	2110	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	1174	2005
The top ten algorithms in data mining X Wu, V Kumar CRC press, 2009	1139	2009
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	1119	2000
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	1107	2005
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	844	2012
Error correlation and error reduction in ensemble classifiers K Tumer, J Ghosh Connection science 8 (3-4), 385-404, 1996	834	1996
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	572	2004
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	545	2020
Analysis of decision boundaries in linearly combined neural classifiers K Tumer, J Ghosh Pattern recognition 29 (2), 341-348, 1996	474	1996
A unified framework for model-based clustering S Zhong, J Ghosh The Journal of Machine Learning Research 4, 1001-1037, 2003	442	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	381	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	362	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	345	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	332	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	323	1994
Privacy-preserving distributed clustering using generative models S Merugu, J Ghosh Third IEEE International Conference on Data Mining, 211-218, 2003	302	2003

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