Gautam Kunapuli

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Medeauteurs

Sriraam NatarajanUniversity of Texas at DallasGeverifieerd e-mailadres voor utdallas.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinGeverifieerd e-mailadres voor cs.wisc.edu
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteGeverifieerd e-mailadres voor rpi.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringGeverifieerd e-mailadres voor usc.edu
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISGeverifieerd e-mailadres voor cs.tu-darmstadt.de
Devendra Singh DhamiPostDoctoral Researcher, Technische Universität DarmstadtGeverifieerd e-mailadres voor tu-darmstadt.de
David PageDirector, Whitehead InstituteGeverifieerd e-mailadres voor wi.mit.edu
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthGeverifieerd e-mailadres voor d.umn.edu
Priya GanapathyUtopiaCompression CorporationGeverifieerd e-mailadres voor utopiacompression.com
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonGeverifieerd e-mailadres voor cs.wisc.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityGeverifieerd e-mailadres voor eecs.oregonstate.edu
John MitchellProf of Mathematical Sciences, RPIGeverifieerd e-mailadres voor rpi.edu
Mayukh DasSenior Research Scientist at Microsoft Research, India | M365 ResearchGeverifieerd e-mailadres voor microsoft.com
navdeep kaurGeverifieerd e-mailadres voor cgc.edu.in
Trevor WalkerGoogleGeverifieerd e-mailadres voor usa.net
Kshitij JudahLookout, Inc.Geverifieerd e-mailadres voor lookout.com
Steven CenUniversity of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
Vinay DuddalwarProfessor, Radiology, Urology and Biomedical Engineering University of Southern CaliforniaGeverifieerd e-mailadres voor med.usc.edu
Bino VargheseAdvanced Imaging SpecialistGeverifieerd e-mailadres voor med.usc.edu
Bhushan DesaiUniversity of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu

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Gautam Kunapuli

Verisk AI R&D

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AI/ML Non-Convex Optimization Spatio-temporal Learning Human-Allied ML Insurance Analytics


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	128	2008
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	82	2010
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	65	2006
Classification model selection via bilevel programming G Kunapuli, KP Bennett, J Hu, JS Pang Optimization Methods & Software 23 (4), 475-489, 2008	64	2008
Bilevel optimization and machine learning KP Bennett, G Kunapuli, J Hu, JS Pang IEEE World Congress on Computational Intelligence, 25-47, 2008	50	2008
Mirror descent for metric learning: A unified approach G Kunapuli, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	47	2012
Bilevel model selection for support vector machines G Kunapuli, KP Bennett, J Hu, JS Pang Data mining and mathematical programming 45, 129-158, 2008	43	2008
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	40	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	34	2019
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	33	2010
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	31	2018
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	31	2014
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	24	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	19	2017
Fast relational probabilistic inference and learning: Approximate counting via hypergraphs M Das, DS Dhami, G Kunapuli, K Kersting, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7816-7824, 2019	16	2019
Structure learning for relational logistic regression: An ensemble approach N Ramanan, G Kunapuli, T Khot, B Fatemi, SM Kazemi, D Poole, ... Data Mining and Knowledge Discovery 35 (5), 2089-2111, 2021	15	2021
A bilevel optimization approach to machine learning G Kunapuli Rensselaer Polytechnic Institute, 2008	14	2008
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	11	2010
Neural networks for relational data N Kaur, G Kunapuli, S Joshi, K Kersting, S Natarajan International Conference on Inductive Logic Programming, 62-71, 2019	8	2019
Advice refinement in knowledge-based svms G Kunapuli, R Maclin, J Shavlik Advances in neural information processing systems 24, 2011	8	2011

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