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pro vyhledávání: '"Wanyama, Fred"'
Autor:
Xu, Lily, Perrault, Andrew, Plumptre, Andrew, Driciru, Margaret, Wanyama, Fred, Rwetsiba, Aggrey, Tambe, Milind
Applications of artificial intelligence for wildlife protection have focused on learning models of poacher behavior based on historical patterns. However, poachers' behaviors are described not only by their historical preferences, but also their reac
Externí odkaz:
http://arxiv.org/abs/2006.12411
Autor:
Xu, Lily, Gholami, Shahrzad, Carthy, Sara Mc, Dilkina, Bistra, Plumptre, Andrew, Tambe, Milind, Singh, Rohit, Nsubuga, Mustapha, Mabonga, Joshua, Driciru, Margaret, Wanyama, Fred, Rwetsiba, Aggrey, Okello, Tom, Enyel, Eric
Illegal wildlife poaching threatens ecosystems and drives endangered species toward extinction. However, efforts for wildlife protection are constrained by the limited resources of law enforcement agencies. To help combat poaching, the Protection Ass
Externí odkaz:
http://arxiv.org/abs/1903.06669
Autor:
Nguyen, Thanh H., Fave, Francesco M. Delle, Kar, Debarun, Lakshminarayanan, Aravind S., Yadav, Amulya, Tambe, Milind, Agmon, Noa, Plumptre, Andrew J., Driciru, Margaret, Wanyama, Fred, Rwetsiba, Aggrey
Publikováno v:
Decision & Game Theory for Security: 6th International Conference, GameSec 2015, London, UK, November 4-5, 2015, Proceedings; 2015, p170-191, 22p