Soumya Ray

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Co-authors

Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinVerified email at biostat.wisc.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Alan FernOregon State UniversityVerified email at eecs.oregonstate.edu
David L WilsonBiomedical Engineering and Radiology, Case Western Reserve UniversityVerified email at case.edu
Hiram Grando BezerraCase Western Reserve UniversityVerified email at uhhospitals.org
Gary DoranJet Propulsion LaboratoryVerified email at jpl.nasa.gov
Andrew M. RollinsCase Western Reserve University, Department of Biomedical EngineeringVerified email at case.edu
Burr SettlesResearch Director at DuolingoVerified email at duolingo.com
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Andy PodgurskiCase Western Reserve UniversityVerified email at case.edu
Nick WilsonUniversity of Texas at AustinVerified email at njwilson.net
Vítor Santos CostaProfessor of Computer Science, Universidade do PortoVerified email at dcc.fc.up.pt
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Tu OuyangCase Western Reserve UniversityVerified email at case.edu
Michael RabinovichProfessor of Computer Science, Case Western Reserve UniversityVerified email at case.edu
Mark AllmanInternational Computer Science InstituteVerified email at icir.org
M. Cenk CavusogluElectrical Engineering and Computer Science, Case Western Reserve UniversityVerified email at case.edu
Mehmet KoyutürkComputer and Data Sciences, Case Western Reserve UniversityVerified email at case.edu
Matthew RuffaloSystems Scientist, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be

Soumya Ray

Case Western Reserve University

Verified email at case.edu

machine learning reinforcement learning planning artificial intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multiple-Instance Active Learning B Settles, M Craven, S Ray Neural Information Processing Systems, 2007	490	2007
Multiple-instance active learning B Settles, M Craven, S Ray In Advances in Neural Information Processing Systems (NIPS, 2008	488	2008
Supervised versus multiple instance learning: An empirical comparison S Ray, M Craven Proceedings of the 22nd international conference on Machine learning, 697-704, 2005	263	2005
Multi-task reinforcement learning: a hierarchical Bayesian approach A Wilson, A Fern, S Ray, P Tadepalli Proceedings of the 24th international conference on Machine learning, 1015-1022, 2007	252	2007
Hierarchical hidden markov models for information extraction M Skounakis, M Craven, S Ray International Joint Conference on Artificial Intelligence 18, 427-433, 2003	209	2003
Representing sentence structure in hidden Markov models for information extraction S Ray, M Craven International Joint Conference on Artificial Intelligence 17 (1), 1273-1279, 2001	181	2001
Online multiple instance regression W Zhi-Gang, Z Zeng-Shun, Z Chang-Shui Chinese Physics B 22 (9), 098702, 2013	153	2013
Automatic discovery and transfer of MAXQ hierarchies N Mehta, S Ray, P Tadepalli, T Dietterich Proceedings of the 25th international conference on Machine learning, 648-655, 2008	102	2008
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification G Doran, S Ray Machine learning 97 (1-2), 79-102, 2014	68	2014
Learning statistical models for annotating proteins with function information using biomedical text S Ray, M Craven BMC bioinformatics 6 (S1), S18, 2005	58	2005
Online Planning for Resource Production in Real-Time Strategy Games. H Chan, A Fern, S Ray, N Wilson, C Ventura ICAPS, 65-72, 2007	54	2007
Automatic stent detection in intravascular OCT images using bagged decision trees H Lu, M Gargesha, Z Wang, D Chamie, GF Attizzani, T Kanaya, S Ray, ... Biomedical optics express 3 (11), 2809-2824, 2012	48	2012
Accurate estimation of short read mapping quality for next-generation genome sequencing M Ruffalo, M Koyutürk, S Ray, T LaFramboise Bioinformatics 28 (18), i349-i355, 2012	37	2012
Skewing: An efficient alternative to lookahead for decision tree induction D Page, S Ray INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE 18, 601-612, 2003	33	2003
Bayesian Hierarchical Reinforcement Learning F Cao, S Ray Advances in Neural Information Processing Systems 25, 73-81, 2012	31	2012
A large-scale empirical analysis of email spam detection through network characteristics in a stand-alone enterprise T Ouyang, S Ray, M Allman, M Rabinovich Computer Networks 59, 101-121, 2014	24	2014
Extending online planning for resource production in real-time strategy games with search H Chan, A Fern, S Ray, N Wilson, C Ventura Workshop on Planning in Games, ICAPS 2007, 2007	17	2007
A new coupled fractional reduced differential transform method for the numerical solutions of-dimensional time fractional coupled Burger equations SS Ray Modelling and Simulation in Engineering 2014, 2014	15*	2014
Sepia: a scalable game environment for artificial intelligence teaching and research S Sosnowski, T Ernsberger, F Cao, S Ray Fourth AAAI Symposium on Educational Advances in Artificial Intelligence …, 2013	15	2013
Can network characteristics detect spam effectively in a stand-alone enterprise? T Ouyang, S Ray, M Rabinovich, M Allman International Conference on Passive and Active Network Measurement, 92-101, 2011	13	2011

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