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Deep Reinforcement Learning for Green Security Games with Real-Time Information., , , , , , and . CoRR, (2018)Label super-resolution networks., , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Data Science for Earth: An Earth Day Report., , , , , and . SIGKDD Explor., 22 (1): 4-7 (2020)Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations., , , , , , and . Frontiers Artif. Intell., (2020)Near Real-Time Detection of Poachers from Drones in AirSim., , , , , , , , and . IJCAI, page 5814-5816. ijcai.org, (2018)Feature Based Task Recommendation in Crowdsourcing with Implicit Observations., , and . CoRR, (2016)Protecting Wildlife under Imperfect Observation., , , , , , , , , and 1 other author(s). AAAI Workshop: Computer Poker and Imperfect Information Games, volume WS-16-06 of AAAI Technical Report, AAAI Press, (2016)978-1-57735-759-9.Reassessing the forest impacts of protection: the challenge of nonrandom location and a corrective method., and . Annals of the New York Academy of Sciences, (January 2010)BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos., , , , , , , , , and 1 other author(s). WACV, page 1736-1745. IEEE, (2020)Predicting poaching for wildlife Protection., , , , , , , , , and 2 other author(s). IBM J. Res. Dev., 61 (6): 3:1-3:12 (2017)