3D deep learning for perception and modeling
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Practice-inspired trust models and mechanisms for differential privacy
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High-capacity feedback neural networks
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Video object segmentation and tracking with deep learning techniques
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On scheduling, timeliness and security in large scale distributed computing
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Understanding goal-oriented reinforcement learning
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Hashcode representations of natural language for relation extraction
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Deep learning models for temporal data in health care
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Data-driven acquisition of closed-loop robotic skills
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Learning and decision making in networked systems
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Optimizing privacy and performance in spectrum access systems
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USC Computer Science Technical Reports, no. 838 (2004)
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Systematic performance and robustness testing of transport protocols with congestion control
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An interaction analysis of the 1962 Sino-Indian border conflict
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Invariant representation learning for robust and fair predictions
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Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems
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Representation problems in brain imaging
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Security and privacy in information processing
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Advantages of unpredictable multiagent systems: Randomized policies for single agents and agent-teams
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Responsible artificial intelligence for a complex world
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Green image generation and label transfer techniques
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Negotiation techniques and health care cost containment in California school districts
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Mechanisms for co-location privacy
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Trustworthiness of integrated circuits: a new testing framework for hardware Trojans
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