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
Alexander StrehlProfessor, International Business School, University of AalenVerified email at strehl.com
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Ayan AcharyaLinkedIn Inc.Verified email at utexas.edu
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Joyce C HoEmory UniversityVerified email at emory.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
Sanmi KoyejoAssistant Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Shi ZhongGoogle Inc.Verified email at utexas.edu
Alan BovikCockrell Family Regents Endowed Chair Professor, The University of Texas at AustinVerified email at ece.utexas.edu
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Geoff McLachlanProfessor of Statistics, University of QueenslandVerified email at uq.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Bing LiuDistinguished Professor, University of Illinois at ChicagoVerified email at uic.edu
Yubin ParkBonsai ResearchVerified email at utexas.edu
V Srinivasa ChakravarthyIndian Institute of Technology MadrasVerified email at iitm.ac.in
Goo JunHuman Genetics Center, School of Public Health, University of Texas Health Science Center HoustonVerified email at uth.tmc.edu

Joydeep Ghosh

(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BME

Verified email at utexas.edu - Homepage

Machine Learning Data Mining Artificial Intelligence Personalization Health Informatics


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Top 10 algorithms in data mining X Wu, V Kumar, JR Quinlan, J Ghosh, Q Yang, H Motoda, GJ McLachlan, ... Knowledge and information systems 14 (1), 1-37, 2008	5503	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	4958	2002
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	1752	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	1752	2004
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	1020	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	878	2005
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	848	2005
The top ten algorithms in data mining X Wu, V Kumar CRC press, 2009	816	2009
Error correlation and error reduction in ensemble classifiers K Tumer, J Ghosh Connection science 8 (3-4), 385-404, 1996	762	1996
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	675	2012
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	515	2007
Analysis of decision boundaries in linearly combined neural classifiers K Tumer, J Ghosh Pattern recognition 29 (2), 341-348, 1996	422	1996
A unified framework for model-based clustering S Zhong, J Ghosh The Journal of Machine Learning Research 4, 1001-1037, 2003	386	2003
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	335	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	310	1994
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	304	2001
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	302	1991
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	295	2008
Privacy-preserving distributed clustering using generative models S Merugu, J Ghosh Third IEEE International Conference on Data Mining, 211-218, 2003	275	2003
Generative model-based document clustering: a comparative study S Zhong, J Ghosh Knowledge and Information Systems 8 (3), 374-384, 2005	265	2005

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