Debarun Kar
Debarun Kar
Senior Staff Software Engineer - Data Intelligence & ML (H1 Insights)
Verified email at - Homepage
Cited by
Cited by
" 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
Robust protection of fisheries with compass
W Haskell, D Kar, F Fang, M Tambe, S Cheung, E Denicola
Twenty-Sixth IAAI Conference, 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
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
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, ...
ACM, 2017
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
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, ...
International Conference on Decision and Game Theory for Security, 170-191, 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
Learning adversary behavior in security games: A PAC model perspective
A Sinha, D Kar, M Tambe
arXiv preprint arXiv:1511.00043, 2015
Towards a science of security games
TH Nguyen, D Kar, M Brown, A Sinha, AX Jiang, M Tambe
Mathematical sciences with multidisciplinary applications, 347-381, 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
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
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
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
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
Viola: Video labeling application for security domains
E Bondi, F Fang, D Kar, V Noronha, D Dmello, M Tambe, A Iyer, ...
International conference on decision and game theory for security, 377-396, 2017
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
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
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
Building thinc: user incentivization and meeting rescheduling for energy savings
JY KWAK, D Kar, W Haskell, PR VARAKANTHAM, M Tambe
AAMAS, 2014
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