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Illegal wildlife poaching threatens ecosystems and drives endangered species toward extinction.
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2011
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M. P. Johnson, F. Fang, and M. Tambe, “Patrol strategies to maximize pristine forest area,” in AAAI , 2012
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E. Shieh, B. An, R. Yang, M. Tambe, C. Baldwin, J. DiRenzo, B. Maule, and G. Meyer, “Protect: A deployed game theoretic system to protect the ports of the united states,” in AAMAS , 2012, pp. 13–20
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SMART, “Spatial monitoring and reporting tool,” http://smartconservationtools.org/ , 2013
2013
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R. Yang, B. Ford, M. Tambe, and A. Lemieux, “Adaptive resource allocation for wildlife protection against illegal poachers,” in AAMAS , 2014, pp. 453–460
2014
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W. Haskell, D. Kar, F. Fang, M. Tambe, S. Cheung, and E. Denicola, “Robust protection of fisheries with compass,” in IAAI , 2014
2014
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2014
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J. J. Spillane, “Africa’s elephant population: Permanently declining or sustainable?” The Eastern African Journal of Hospitality, Leisure & Tourism , vol. 3, no. 1, pp. 1–19, 2015
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R. Cooney, D. Roe, H. Dublin, J. Phelps, D. Wilkie, A. Keane, H. Travers, D. Skinner, D. W. Challender, J. R. Allan et al. , “From poachers to protectors: engaging local communities in solutions to illegal wildlife trade,” Conservation Letters , vol. 10, no. 3, pp. 367–374, 2017
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D. Kar, B. Ford, S. Gholami, F. Fang, A. Plumptre, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, M. Nsubaga et al. , “Cloudy with a chance of poaching: Adversary behavior modeling and forecasting with real-world poaching data,” in AAMAS , 2017, pp. 159–167
2017
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S. Gholami, B. Ford, F. Fang, A. Plumptre, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, M. Nsubaga, and J. Mabonga, “Taking it for a test drive: a hybrid spatio-temporal model for wildlife poaching prediction evaluated through a controlled field test,” in ECML , 2017
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2015
Cited alongside, same era.
F. Fang, T. Nguyen, B. Ford, N. Sintov, and M. Tambe, “Introduction to green security games,” in IJCAI , 2015
2015
Cited alongside, same era.
R. Critchlow, A. Plumptre, M. Driciru, A. Rwetsiba, E. Stokes, C. Tumwesigye, F. Wanyama, and C. Beale, “Spatiotemporal trends of illegal activities from ranger-collected data in a ugandan national park,” Conservation Biology , vol. 29, no. 5, pp. 1458–1470, 2015
2015
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M. J. Chase, S. Schlossberg, C. R. Griffin, P. J. Bouché, S. W. Djene, P. W. Elkan, S. Ferreira, F. Grossman, E. M. Kohi, K. Landen et al. , “Continent-wide survey reveals massive decline in african savannah elephants,” PeerJ , vol. 4, p. e2354, 2016
2016
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T. H. Nguyen, A. Sinha, S. Gholami, A. Plumptre, L. Joppa, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, R. Critchlow et al. , “Capture: A new predictive anti-poaching tool for wildlife protection,” in AAMAS , 2016, pp. 767–775
2016
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L. Mentch and G. Hooker, “Quantifying uncertainty in random forests via confidence intervals and hypothesis tests,” The Journal of Machine Learning Research , vol. 17, no. 1, pp. 841–881, 2016
2016
Cited alongside, same era.
2017
Later among the works it cites.
T. Gray, R. Crouthers, K. Ramesh, J. Vattakaven, J. Borah, M. Pasha, T. Lim, P. Channa, R. Singh, B. Long, S. Chapman, O. Keo, and M. Baltzer, “A framework for assessing readiness for tiger panthera tigris reintroduction: a case study from eastern cambodia,” Biodiversity and Conservation , 05 2017
2017
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G. Lemaître, F. Nogueira, and C. K. Aridas, “Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning,” Journal of Machine Learning Research , vol. 18, no. 17, pp. 1–5, 2017. [Online]. Available: http://jmlr.org/papers/v18/16-365.html
2017
Later among the works it cites.
S. Gholami, S. Mc Carthy, B. Dilkina, A. Plumptre, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, M. Nsubaga, J. Mabonga, T. Okello, and E. Enyel, “Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers,” AAMAS ’18 , 2018
2018
Later among the works it cites.
S. Gholami, A. Yadav, L. Tran-Thanh, B. N. Dilkina, and M. Tambe, “Don’t put all your strategies in one basket: Playing green security games with imperfect prior knowledge,” in AAMAS , 2019
2019
Closest in time.
Y. Wang, Z. R. Shi, L. Yu, Y. Wu, R. Singh, L. Joppa, and F. Fang, “Deep reinforcement learning for green security games with real-time information,” in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence , 2019
2019
Closest in time.