Sugato Basu - Google Scholar

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Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Arindam BanerjeeProfessor, Computer Science & Engineering, University of Minnesota, Twin CitiesVerified email at cs.umn.edu
Mikhail BilenkoHead of AI and Research, YandexVerified email at yandex-team.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
Biswanath PandaGoogle Inc.Verified email at google.com
Brian KulisAssociate Professor, Boston UniversityVerified email at bu.edu
Inderjit S. DhillonAmazon Fellow and Gottesman Family Centennial Professor, CS Dept, UT AustinVerified email at cs.utexas.edu
Christos FaloutsosCMUVerified email at cs.cmu.edu
Lei LiByteDance AI LabVerified email at bytedance.com
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
Krupakar PasupuletiNYUVerified email at nyu.edu
D. SculleyGoogle, Inc.Verified email at google.com
Ramakrishnan SrikantDistinguished Research Scientist, GoogleVerified 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	1126	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	1012	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	1011	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	642	2004
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	578	2008
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	571	2009
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo	337	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	287	2012
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	245	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	236	2006
Using isotropic synthetic fluctuations as inlet boundary conditions for unsteady simulations L Davidson Advances and Applications in Fluid Mechanics, 2007	221*	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	158	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	153	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	117	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	116	2003
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu	87	2005
Probabilistic Semi-Supervised Clustering with Constraints. S Basu, M Bilenko, A Banerjee, RJ Mooney Semi-supervised learning, 73-102, 2006	80	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	74	2001
When is constrained clustering beneficial, and why? KL Wagstaff, S Basu, I Davidson Ionosphere 58 (60.1), 62-63, 2006	72	2006
iLink search and routing in social networks J Davitz, J Yu, S Basu, D Gutelius, A Harris Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	67	2007

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