| Title | Author | Published At |
|---|---|---|
| PAWS: A Deployed Game-Theoretic Application to Combat Poaching | Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux | AI Magazine 38(1):23-36 |
| Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences | Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe | AI Magazine (To appear) |
| Every Team Deserves a Second Chance An extended study on predicting team performance | Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe | Journal of Agents and Multiagent Systems (JAAMAS) (To appear) |
| Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application | Amulya Yadav , Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo | International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) |
| Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data | Debarun Kar and Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba | International Conference on Autonomous Agents and Multiagent Systems (AAMAS) |
| Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network | Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe | International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) |
| Predicting Poaching for Wildlife Protection | F. Fang, T. H. Nguyen, A. Sinha, S. Gholami, A. Plumptre, L. Joppa, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, R. Critchlow, C. M. Beale | IBM Journal of Research and Development (To appear) |
| Using Social Networks to Raise HIV Awareness Among Homeless Youth | A. Yadav, H. Chan, A.X. Jiang, H. Xu, E. Rice, R. Petering, M. Tambe | IBM Journal of Research and Development (To appear) |
| When AI helps Wildlife Conservation: Learning Adversary Behaviors in Green Security Games | Debarun Kar | PhD thesis |
| Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information | Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe | International Joint Conference on Artificial Intelligence (IJCAI) |
| Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources | Sara Marie Mc Carthy, Phebe Vayanos, Milind Tambe | International Joint Conference on Artificial Intelligence (IJCAI) |
| Believe It or Not: Modeling Adversary Belief Formation in Stackelberg Security Games with Varying Information | Debarun Kar, Subhasree Sengupta, Ece Kamar, Eric Horvitz, Milind Tambe | Advances in Cognitive Systems |
| Don’t Bury your Head inWarnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts | A Schlenker, H Xu, M Guirguis, C Kiekintveld, A Sinha, M Tambe, S Sonya, D Balderas, N Dunstatter | International Joint Conference on Artificial Intelligence (IJCAI) |
| Robust, dynamic influence maximization | Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe | AAMAS International Workshop on Optimization in Multi-Agent Systems (OPTMAS) |
| Towards a Game-theoretic Framework for Intelligent Cyber-security Alert Allocation | A Schlenker, H Xu, C Kiekintveld, A Sinha, M Tambe, M Guirguis, S Sonya, D Balderas, N Dunstatter | The 3rd IJCAI Algorithmic Game Theory Workshop |
| 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, A Rwetsiba, M Nsubaga, J Mabonga | The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017 Applied Data Science Track) |
| Real-World Evaluation and Deployment of Wildlife Crime Prediction Models | Benjamin Ford | PhD thesis |
| Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth | Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton | Proc. of AAAI Fall Symposium Series on Cognitive Assistance in Government and Public Sector Applications, 2017 |
| Optimal Patrol Planning for Green Security Games with Black-Box Attackers | Haifeng Xu, Benjamin Ford, Fei Fang, Bistra Dilkina, Andrew Plumptre,Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba,Mustapha Nsubaga, and Joshua Mabonga | Conference on Decision and Game Theory for Security (GameSec) 2017 |
| VIOLA: Video Labeling Application for SecurityDomains | Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, and Robert Hannaford | Conference on Decision and Game Theory for Security (GameSec) 2017 |
| Handling Continuous Space Security Games with Neural Networks | Nitin Kamra, Fei Fang, Debarun Kar, Yan Liu, Milind Tambe | In IWAISe-17: 1st International Workshop on A.I. in Security held at the International Joint Conference on Artificial Intelligence |
| Explanations Systems for Influential Maximizations Algorithms | Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha | 3rd International Workshop on Social Influence Analysis |
