Gautam Kunapuli - Google Scholar Citations

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	All	Since 2014
Citations	484	312
h-index	10	10
i10-index	10	10

20072008200920102011201220132014201520162017201820193 19 23 16 33 32 46 37 49 53 40 55 78

Co-authors

Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, TU DarmstadtVerified email at cs.tu-darmstadt.de
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
David PageDirector, Whitehead InstituteVerified email at wi.mit.edu
John MitchellProf of Mathematical Sciences, RPIVerified email at rpi.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Devendra Singh DhamiPhD student, University of Texas at DallasVerified email at utdallas.edu
Trevor WalkerGoogleVerified email at usa.net
Priya GanapathyUtopiaCompression CorporationVerified email at utopiacompression.com
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonVerified email at cs.wisc.edu
Kshitij JudahLookout, Inc.Verified email at lookout.com
Amina ShabbeerRensselaer Polytechinc InstituteVerified email at rpi.edu
Kris HauserAssociate Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Shuo YangIndiana University - School of Informatics and ComputingVerified email at indiana.edu
Phillip OdomIndiana UniversityVerified email at indiana.edu
Steven CenUniversity of Southern CaliforniaVerified email at usc.edu
Vinay DuddalwarProfessor, Radiology, University of Southern CaliforniaVerified email at med.usc.edu

Gautam Kunapuli

The University of Texas at Dallas

Verified email at utdallas.edu - Homepage

Machine Learning Non-Convex Optimization Biomedical Applications


Title	Cited by	Year
On the global solution of linear programs with linear complementarity constraints J Hu, JE Mitchell, JS Pang, KP Bennett, G Kunapuli SIAM Journal on Optimization 19 (1), 445-471, 2008	108	2008
Model selection via bilevel optimization KP Bennett, J Hu, X Ji, G Kunapuli, JS Pang The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006	46	2006
Multi-agent inverse reinforcement learning S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik 2010 Ninth International Conference on Machine Learning and Applications …, 2010	40	2010
Bilevel model selection for support vector machines G Kunapuli, K Bennett, J Hu, JS Pang CRM proceedings and lecture notes 45, 129-158, 2008	35	2008
Mirror descent for metric learning: A unified approach G Kunapuli, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	34	2012
Classification model selection via bilevel programming G Kunapuli, KP Bennett, J Hu, JS Pang Optimization Methods & Software 23 (4), 475-489, 2008	32	2008
Online knowledge-based support vector machines G Kunapuli, KP Bennett, A Shabbeer, R Maclin, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	29	2010
Bilevel optimization and machine learning KP Bennett, G Kunapuli, J Hu, JS Pang IEEE World Congress on Computational Intelligence, 25-47, 2008	29	2008
Learning from imbalanced data in relational domains: A soft margin approach S Yang, T Khot, K Kersting, G Kunapuli, K Hauser, S Natarajan 2014 IEEE International Conference on Data Mining, 1085-1090, 2014	23	2014
Guiding autonomous agents to better behaviors through human advice G Kunapuli, P Odom, JW Shavlik, S Natarajan 2013 IEEE 13th International Conference on Data Mining, 409-418, 2013	21	2013
Automating the ILP setup task: Converting user advice about specific examples into general background knowledge T Walker, C O’Reilly, G Kunapuli, S Natarajan, R Maclin, D Page, ... International Conference on Inductive Logic Programming, 253-268, 2010	9	2010
Model selection via bilevel programming K Bennett, X Ji, J Hu, G Kunapuli, JS Pang Proceedings of the International Joint Conference on Neural Networks (IJCNN …, 2006	8	2006
A decision-support tool for renal mass classification G Kunapuli, BA Varghese, P Ganapathy, B Desai, S Cen, M Aron, I Gill, ... Journal of digital imaging 31 (6), 929-939, 2018	7	2018
Advice refinement in knowledge-based svms G Kunapuli, R Maclin, JW Shavlik Advances in neural information processing systems, 1728-1736, 2011	7	2011
A bilevel optimization approach to machine learning G Kunapuli PhD thesis, Rensselaer Polytechnic Institute, 2008	7	2008
Drug‐Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities DS Dhami, G Kunapuli, M Das, D Page, S Natarajan Smart Health 9, 88-100, 2018	6	2018
Relational restricted boltzmann machines: A probabilistic logic learning approach N Kaur, G Kunapuli, T Khot, K Kersting, W Cohen, S Natarajan International Conference on Inductive Logic Programming, 94-111, 2017	6	2017
Learning from human teachers: Issues and challenges for ILP in bootstrap learning S Natarajan, G Kunapuli, R Maclin, D Page, C O’Reilly, T Walker, ... AAMAS Workshop on Agents Learning Interactively from Human Teachers, 2010	6	2010
Ar-boost: Reducing overfitting by a robust data-driven regularization strategy BN Saha, G Kunapuli, N Ray, JA Maldjian, S Natarajan Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	5	2013
Classification of burn injury using Raman spectroscopy and optical coherence tomography: An ex-vivo study on porcine skin LP Rangaraju, G Kunapuli, D Every, OD Ayala, P Ganapathy, ... Burns 45 (3), 659-670, 2019	4	2019

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