Debarun Kar

Publication Activity (10 Years)

Years Active: 2009-2018
Publications (10 Years): 11

Top Topics

Case Based Reasoning Systems

Frequently Encountered

Video Surveillance

Top Venues

Publications

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI (2018)
Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. AAAI Workshops (2018)
Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford
VIOLA: Video Labeling Application for Security Domains. GameSec (2017)
Elizabeth Bondi, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Fei Fang, Arvind Iyer, Robert Hannaford
Video Labeling for Automatic Video Surveillance in Security Domains. CoRR (2017)
Debarun Kar, Benjamin J. Ford, Shahrzad Gholami, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. AAMAS (2017)
Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Mag. 38 (2) (2017)
Arunesh Sinha, Debarun Kar, Milind Tambe
Learning Adversary Behavior in Security Games: A PAC Model Perspective. AAMAS (2016)
Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI (2016)
Yasaman Abbasi, Debarun Kar, Nicole D. Sintov, Milind Tambe, Noam Ben-Asher, Don Morrison, Cleotilde Gonzalez
Know Your Adversary: Insights for a Better Adversarial Behavioral Model. CogSci (2016)
Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games 7 (3) (2016)
Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arnaud Lyet
Comparing human behavior models in repeated Stackelberg security games: An extended study. Artif. Intell. 240 (2016)
Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang
From physical security to cybersecurity. J. Cybersecur. 1 (1) (2015)
Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe
"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games. AAMAS (2015)
Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. AAAI Workshop: Computational Sustainability (2015)
Arunesh Sinha, Debarun Kar, Milind Tambe
Learning Adversary Behavior in Security Games: A PAC Model Perspective. CoRR (2015)
Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec (2015)
Benjamin J. Ford, Debarun Kar, Francesco Maria Delle Fave, Rong Yang, Milind Tambe
PAWS: adaptive game-theoretic patrolling for wildlife protection. AAMAS (2014)
William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola
Robust Protection of Fisheries with COmPASS. AAAI (2014)
Jun-young Kwak, Debarun Kar, William B. Haskell, Pradeep Varakantham, Milind Tambe
Building THINC: user incentivization and meeting rescheduling for energy savings. AAMAS (2014)
Debarun Kar, Anand Kumar, Sutanu Chakraborti, Balaraman Ravindran
iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer. ICCBR (2013)
Debarun Kar, Sutanu Chakraborti, Balaraman Ravindran
Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems. ICCBR (2012)
Pabitra Pal Choudhury, Sudhakar Sahoo, Sarif Sk. Hassan, Satrajit Basu, Dibyendu Ghosh, Debarun Kar, Abhishek Ghosh, Avijit Ghosh, Amal K. Ghosh
Classification of Cellular Automata Rules Based on Their Properties CoRR (2009)