| Capture: A new predictive anti-poaching tool for wildlife protection TH Nguyen, A Sinha, S Gholami, A Plumptre, L Joppa, M Tambe, ... | 95 | 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, ... 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 | 79 | 2016 |
| Comparing recurrent convolutional neural networks for large scale bird species classification G Gupta, M Kshirsagar, M Zhong, S Gholami, JL Ferres Scientific reports 11 (1), 17085, 2021 | 65 | 2021 |
| Stay ahead of Poachers: Illegal wildlife poaching prediction and patrol planning under uncertainty with field test evaluations (Short Version) L Xu, S Gholami, S McCarthy, B Dilkina, A Plumptre, M Tambe, R Singh, ... 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1898-1901, 2020 | 51 | 2020 |
| 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, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 48 | 2017 |
| Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers S Gholami, S Mc Carthy, B Dilkina, A Plumptre, M Tambe, M Driciru, ... Proceedings of International Conference on Autonomous Agents and Multiagent …, 2018 | 38 | 2018 |
| Don't put all your strategies in one basket: Playing green security games with imperfect prior knowledge S Gholami, A Yadav, L Tran-Thanh, B Dilkina, M Tambe Proceedings of the 18th international conference on autonomous agents and …, 2019 | 27 | 2019 |
| Divide to defend: Collusive security games S Gholami, B Wilder, M Brown, D Thomas, N Sintov, M Tambe Decision and Game Theory for Security: 7th International Conference, GameSec …, 2016 | 18 | 2016 |
| Becoming good at ai for good M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664-673, 2021 | 16 | 2021 |
| Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data S Gholami, N Kodandapani, J Wang, JL Ferres Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15309 …, 2021 | 12 | 2021 |
| Predicting poaching for wildlife protection F Fang, TH Nguyen, A Sinha, S Gholami, A Plumptre, L Joppa, M Tambe, ... IBM Journal of Research and Development 61 (6), 3: 1-3: 12, 2017 | 11 | 2017 |
| Food security analysis and forecasting: A machine learning case study in southern Malawi S Gholami, E Knippenberg, J Campbell, D Andriantsimba, A Kamle, ... Data & Policy 4, e33, 2022 | 6 | 2022 |
| A game theoretic approach on addressing cooperation among human adversaries S Gholami, B Wilder, M Brown, A Sinha, N Sintov, M Tambe Proceedings of the 15th international conference on autonomous agents and …, 2016 | 5 | 2016 |
| On the control of tumor growth via type-1 and interval type-2 fuzzy logic S Gholami, A Alasty, H Salarieh, M Hosseinian-Sarajehlou Journal of Mechanics in Medicine and Biology 15 (05), 1550083, 2015 | 5 | 2015 |
| Stay ahead of poachers: Illegal wildlife poaching prediction and patrol planning under uncertainty with field test evaluations S Gholami, L Xu, S Mc Carthy, B Dilkina, A Plumptre, M Tambe, R Singh, ... | 4 | 2019 |
| Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test in Uganda S Gholami Doctoral Consortium held at The Thirty-Second AAAI Conference on Artificial …, 2018 | 3 | 2018 |
| 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, ... Workshop on Engineering Dependable and Secure Machine Learning Systems held …, 2018 | 3 | 2018 |
| Observer based feedback control of a biodynamical model of tumor growth with sampled measurements S Gholami, H Salarieh, A Alasty 2016 European Control Conference (ECC), 2423-2428, 2016 | 3 | 2016 |
| An extensive study of Dynamic Bayesian Network for patrol allocation against adaptive opportunistic criminals S Gholami, C Zhang, A Sinha, M Tambe | 3 | 2015 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
