Sugato Basu

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Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Mikhail BilenkoMicrosoftVerified email at microsoft.com
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Ian DavidsonProfessor of Computer Science, University of California - DavisVerified email at cs.ucdavis.edu
Kiri WagstaffVerified email at wkiri.com
Pradyumna NarayanaGoogleVerified email at google.com
Nur ToubaProfessor of Electrical and Computer Engineering, University of Texas at AustinVerified email at ece.utexas.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Christos FaloutsosCMUVerified email at cs.cmu.edu
Brian GallagherComputer ScientistVerified email at briangallagher.net
Tina Eliassi-RadProfessor & President Joseph E. Aoun Chair, Northeastern UniversityVerified email at eliassi.org
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
Xin Eric WangAssistant Professor, University of California, Santa CruzVerified email at ucsc.edu
Biswanath PandaGoogle Inc.Verified email at google.com
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Wanrong ZhuUniversity of California, Santa BarbaraVerified email at ucsb.edu

Sugato Basu

Distinguished Scientist at Google

Verified email at google.com - Homepage

Machine Learning/Deep Learning Foundation Models Privacy and Personalization Multimodal Understanding Unsupervised/Semi-supe


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Semi-supervised clustering by seeding S Basu Proc. ICML-2002, 2002	1337	2002
Integrating constraints and metric learning in semi-supervised clustering M Bilenko, S Basu, RJ Mooney Proceedings of the twenty-first international conference on Machine learning, 11, 2004	1192	2004
A probabilistic framework for semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1119	2004
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	815	2004
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	722	2008
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005	654	2005
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	519	2012
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo	389	2009
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	295	2005
Measuring constraint-set utility for partitional clustering algorithms I Davidson, KL Wagstaff, S Basu European conference on principles of data mining and knowledge discovery …, 2006	284	2006
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	187	2007
Multi-way clustering on relation graphs A Banerjee, S Basu, S Merugu Proceedings of the 2007 SIAM international conference on data mining, 145-156, 2007	174	2007
Predicting bounce rates in sponsored search advertisements D Sculley, RG Malkin, S Basu, RJ Bayardo Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	136	2009
Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the ICML-2003 workshop on the continuum from labeled to …, 2003	118	2003
Probabilistic Semi-Supervised Clustering with Constraints. S Basu, M Bilenko, A Banerjee, RJ Mooney Semi-supervised learning, 73-102, 2006	106	2006
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu The University of Texas at Austin, 2005	93	2005
When is constrained clustering beneficial, and why? KL Wagstaff, S Basu, I Davidson Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2006	91	2006
Evaluating the novelty of text-mined rules using lexical knowledge S Basu, RJ Mooney, KV Pasupuleti, J Ghosh Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	75	2001
Synthesis of low power CED circuits based on parity codes S Ghosh, NA Touba, S Basu 23rd IEEE VLSI Test Symposium (VTS'05), 315-320, 2005	73	2005
Method and apparatus for processing messages in a social network J Davitz, S Basu, J Yu, D Gutelius US Patent 8,630,627, 2014	69	2014

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