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Benjamin Ford
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Adaptive resource allocation for wildlife protection against illegal poachers
R Yang, B Ford, M Tambe, A Lemieux
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
2432014
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, ...
832017
Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test
S Gholami, B Ford, F Fang, A Plumptre, M Tambe, M Driciru, F Wanyama, ...
48*
A real-time self-adaptive classifier for identifying suspicious bidders in online auctions
BJ Ford, H Xu, I Valova
The Computer Journal, bxs025, 2012
452012
Optimal Patrol Planning for Green Security Games with Black-Box Attackers
H Xu, B Ford, F Fang, B Dilkina, A Plumptre, M Tambe, M Driciru, ...
38*
Identifying Suspicious Bidders Utilizing Hierarchical Clustering and Decision Trees.
BJ Ford, H Xu, I Valova
IC-AI, 195-201, 2010
252010
Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games
B Ford, T Nguyen, M Tambe, N Sintov, F Delle Fave
Decision and Game Theory for Security, 35-56, 2015
232015
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
162014
Real-World Evaluation and Deployment of Wildlife Crime Prediction Models
B Ford
UNIVERSITY OF SOUTHERN CALIFORNIA, 2017
82017
PAWS: GameTheory Based Protection Assistant for Wildlife Security
F Fang, B Ford, R Yang, M Tambe, AM Lemieux
Conservation Criminology, 179, 2017
82017
Model-based specification of flexible and complex bidding strategies in agent-based online auctions
BJ Ford, H Xu, CK Bates, SM Shatz
2009 Sixth International Conference on Information Technology: New …, 2009
82009
Introduction to Green Security Games
F Fang, T Nguyen, B Ford, N Sintov, M Tambe
7*
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections
B Ford, M Brown, A Yadav, A Singh, A Sinha, B Srivastava, C Kiekintveld, ...
Advances in Practical Applications of Scalable Multi-agent Systems. The …, 2016
62016
Visual Specification of Layered Bidding Strategies for Autonomous Bidding Agents
BJ Ford, H Xu, CK Bates, SM Shatz
Journal of Computers 5 (6), 940-950, 2010
62010
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda
S Gholami, B Ford, D Kar, F Fang, M Tambe, A Plumptre, M Driciru, ...
32018
Can Game Theory Help Clean the Ganga? Randomized Inspection is a Case in Point.
B Ford, B Srivastava, M Tambe
22015
Optimal Patrol Planning Against Black-Box Attackers
H Xu, B Ford, F Fang, B Dilkina, AJ Plumptre, M Tambe, M Driciru, ...
Artificial Intelligence and Conservation, 57, 2019
12019
Wildlife Poaching Forecasting Based on Ranger-Collected Data and Evaluation through Field Tests
S Gholami, B Ford, D Kar, F Fang, AJ Plumptre, M Tambe, M Driciru, ...
Artificial Intelligence and Conservation, 29, 2019
12019
Enforcing Environmental Compliance through Strategically Randomized Factory Inspections
B Ford, M Brown, A Yadav, A Singh, A Sinha, B Srivastava, C Kiekintveld, ...
Artificial Intelligence and Conservation, 136, 2019
2019
Data Mining Approaches for Detection of Suspicious Bidders in Online Auctions: A Thesis in Computer Science
BJ Ford
University of Massachusetts, Dartmouth, 2010
2010
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Articles 1–20