Sugato Basu

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Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Mikhail BilenkoMicrosoftVerified email at microsoft.com
Ian DavidsonProfessor of Computer Science, University of California - DavisVerified email at cs.ucdavis.edu
Kiri WagstaffJet Propulsion LaboratoryVerified email at jpl.nasa.gov
Nur ToubaProfessor of Electrical and Computer Engineering, University of Texas at AustinVerified email at ece.utexas.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEVerified 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 of Computer Science, 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 of Information Systems, Heinz College, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Biswanath PandaGoogle Inc.Verified email at google.com
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Srujana MeruguIndependent ML ResearcherVerified email at google.com
Krupakar PasupuletiNYUVerified email at nyu.edu
Pradyumna NarayanaGoogleVerified email at google.com
D. SculleyGoogle, Inc.Verified email at google.com

Sugato Basu

Principal Scientist at Google

Verified email at google.com - Homepage

Machine Learning Computational Advertising Deep Learning Semi-supervised Learning


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Semi-supervised clustering by seeding S Basu, A Banerjee, R Mooney In Proceedings of 19th International Conference on Machine Learning (ICML-2002, 2002	1218	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	1078	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	1058	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	704	2004
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	641	2008
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	616	2009
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	385	2012
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo	365	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	271	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	259	2006
Using isotropic synthetic fluctuations as inlet boundary conditions for unsteady simulations L Davidson Advances and applications in Fluid Mechanics, 2007	239*	2007
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	173	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	165	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	122	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	117	2003
Probabilistic Semi-Supervised Clustering with Constraints. S Basu, M Bilenko, A Banerjee, RJ Mooney Semi-supervised learning, 73-102, 2006	91	2006
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu The University of Texas at Austin, 2005	91	2005
When is constrained clustering beneficial, and why? KL Wagstaff, S Basu, I Davidson Ionosphere 58 (60.1), 62-63, 2006	81	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	76	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	68	2005

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