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When AI helps wildlife conservation: learning adversary behavior in green security games
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Predicting and planning against real-world adversaries: an end-to-end pipeline to combat illegal wildlife poachers on a global scale
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Theory and applications of adversarial and structured knowledge learning
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Human adversaries in security games: integrating models of bounded rationality and fast algorithms
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Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments
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Robust estimation of high dimensional parameters
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Strategy education for winning in a complex world: an evaluation study of the Army University
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Machine learning in interacting multi-agent systems
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A train in front of a combination mine, Goldfield, Nevada, ca.1905
Structured visual understanding and generation with deep generative models
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Parent training evaluation
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Modeling human bounded rationality in opportunistic security games
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Deep generative models for image translation
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Media training:  Shifting roles, key findings and immutable laws
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An analysis of videotape and its impact on training by television in the Army
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Deckplate leadership: a promising practice study of chief petty officer development
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Addressing uncertainty in Stackelberg games for security: models and algorithms
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Real-world evaluation and deployment of wildlife crime prediction models
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Understanding sources of variability in learning robust deep audio representations
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Video object segmentation and tracking with deep learning techniques
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Protecting networks against diffusive attacks: game-theoretic resource allocation for contagion mitigation
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Physiological consequences of military stressors in United States Warfighters
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Hashcode representations of natural language for relation extraction
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The impact of culture on academic achievement among Ghanaian immigrant children
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Decipherment of historical manuscripts
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