Debarun Kar

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	Todos	Desde 2019
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Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchE-mail confirmado em harvard.edu
Fei FangCarnegie Mellon UniversityE-mail confirmado em cmu.edu
Nicole SintovOhio State UniversityE-mail confirmado em osu.edu
Arunesh SinhaRutgers UniversityE-mail confirmado em rutgers.edu
Thanh NguyenComputer Science, University of OregonE-mail confirmado em cs.uoregon.edu
Shahrzad GholamiPhD, Senior Research Scientist | Microsoft AI for Good Research LabE-mail confirmado em microsoft.com
Andrew J. PlumptreHead, Key Biodiversity Areas SecretariatE-mail confirmado em keybiodiversityareas.org
Margaret DriciruWildlife Veterinarian, Ecologist and EpidemiologistE-mail confirmado em wildlife.go.ug
Benjamin FordUniversity of Southern CaliforniaE-mail confirmado em usc.edu
William B. HaskellPurdue UniversityE-mail confirmado em purdue.edu
Noam Ben-AsherBoston FusionE-mail confirmado em bostonfusion.com
Satrajit BasuGraduate Student, University of South FloridaE-mail confirmado em mail.usf.edu
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasE-mail confirmado em cse.iitm.ac.in
Noa AgmonAssociate Professor, Bar-Ilan University, IsraelE-mail confirmado em cs.biu.ac.il
Rong YangMember of Research Staff, Palo Alto Research CenterE-mail confirmado em parc.com
Pradeep VarakanthamProfessor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing andE-mail confirmado em smu.edu.sg
Jun-young KwakSr. Director, Engineering @TinderE-mail confirmado em gotinder.com
Bo AnNanyang Technological UniversityE-mail confirmado em ntu.edu.sg
Arlette van Wissen, PhDPhilips ResearchE-mail confirmado em philips.com
Francesco Maria Delle FaveGoldman Sachs

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Debarun Kar

Director - Quantitative Finance, AI & Machine Learning - Bank of America

E-mail confirmado em usc.edu - Página inicial

Game Theory Machine Learning NLP Deep Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
" A Game of Thrones" When Human Behavior Models Compete in Repeated Stackelberg Security Games D Kar, F Fang, F Delle Fave, N Sintov, M Tambe Proceedings of the 2015 international conference on autonomous agents and …, 2015	136	2015
Robust protection of fisheries with compass W Haskell, D Kar, F Fang, M Tambe, S Cheung, E Denicola Proceedings of the AAAI Conference on Artificial Intelligence 28 (2), 2978-2983, 2014	111	2014
Spot poachers in action: Augmenting conservation drones with automatic detection in near real time E Bondi, F Fang, M Hamilton, D Kar, D Dmello, J Choi, R Hannaford, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	102	2018
Cloudy with a chance of poaching: Adversary behavior modeling and forecasting with real-world poaching data D Kar, B Ford, S Gholami, F Fang, A Plumptre, M Tambe, M Driciru, ... International Conference on Autonomous Agents and Multiagent Systems, 2017	83	2017
Keeping pace with criminals: An extended study of designing patrol allocation against adaptive opportunistic criminals C Zhang, S Gholami, D Kar, A Sinha, M Jain, R Goyal, M Tambe Games 7 (3), 15, 2016	82	2016
From physical security to cybersecurity A Sinha, TH Nguyen, D Kar, M Brown, M Tambe, AX Jiang Journal of Cybersecurity 1 (1), 19-35, 2015	78	2015
Trends and applications in Stackelberg security games D Kar, TH Nguyen, F Fang, M Brown, A Sinha, M Tambe, AX Jiang Handbook of dynamic game theory, 1-47, 2017	75	2017
Learning adversary behavior in security games: A PAC model perspective A Sinha, D Kar, M Tambe arXiv preprint arXiv:1511.00043, 2015	48	2015
Making the most of our regrets: Regret-based solutions to handle payoff uncertainty and elicitation in green security games TH Nguyen, FMD Fave, D Kar, AS Lakshminarayanan, A Yadav, M Tambe, ... Decision and Game Theory for Security: 6th International Conference, GameSec …, 2015	46	2015
Towards a science of security games TH Nguyen, D Kar, M Brown, A Sinha, AX Jiang, M Tambe Mathematical Sciences with Multidisciplinary Applications: In Honor of …, 2016	38	2016
From the lab to the classroom and beyond: extending a game-based research platform for teaching AI to diverse audiences N Sintov, D Kar, T Nguyen, F Fang, K Hoffman, A Lyet, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	29	2016
Know Your Adversary: Insights for a Better Adversarial Behavioral Model. Y Abbasi, D Kar, ND Sintov, M Tambe, N Ben-Asher, D Morrison, ... CogSci, 2016	28	2016
Classification of Cellular Automata Rules Based on Their Properties PP Choudhury, S Sahoo, SS Hasssan, S Basu, D Ghosh, D Kar, A Ghosh, ... Arxiv preprint arXiv:0905.1769, 2009	21	2009
Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems D Kar, S Chakraborti, B Ravindran Case-Based Reasoning Research and Development, 211-225, 2012	18	2012
PAWS: adaptive game-theoretic patrolling for wildlife protection B Ford, D Kar, FM Delle Fave, R Yang, M Tambe Proceedings of the 2014 international conference on Autonomous agents and …, 2014	17	2014
Automatic detection of poachers and wildlife with UAVs E Bondi, F Fang, M Hamilton, D Kar, D Dmello, V Noronha, J Choi, ... Artificial intelligence and conservation 77, 2019	16	2019
Comparing human behavior models in repeated Stackelberg security games: An extended study D Kar, F Fang, FM Delle Fave, N Sintov, M Tambe, A Lyet Artificial Intelligence 240, 65-103, 2016	16	2016
Viola: Video labeling application for security domains E Bondi, F Fang, D Kar, V Noronha, D Dmello, M Tambe, A Iyer, ... Decision and Game Theory for Security: 8th International Conference, GameSec …, 2017	14	2017
Keeping it real: Using real-world problems to teach AI to diverse audiences N Sintov, D Kar, T Nguyen, F Fang, K Hoffman, A Lyet, M Tambe AI Magazine 38 (2), 35-47, 2017	13	2017
Handling continuous space security games with neural networks N Kamra, F Fang, D Kar, Y Liu, M Tambe IWAISe: First International Workshop on Artificial Intelligence in Security, 17, 2017	8	2017

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