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 WagstaffOregon State UniversityVerified email at wkiri.com
Nur ToubaProfessor of Electrical and Computer Engineering, University of Texas at AustinVerified email at ece.utexas.edu
Pradyumna NarayanaGoogleVerified email at google.com
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 Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Tina Eliassi-RadProfessor, 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
Biswanath PandaGoogle Inc.Verified email at google.com
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
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
Srujana MeruguAmazonVerified email at amazon.com

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	1321	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	1179	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	1109	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	793	2004
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	714	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	652	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	506	2012
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo	386	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	299	2005
Measuring constraint-set utility for partitional clustering algorithms I Davidson, KL Wagstaff, S Basu Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006	282	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	184	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	172	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	137	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	105	2006
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu The University of Texas at Austin, 2005	95	2005
When is constrained clustering beneficial, and why? KL Wagstaff, S Basu, I Davidson Ionosphere 58 (60.1), 62-63, 2006	89	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	72	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	66	2014

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