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Revisiting Software-based Memory Management
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Multi-Scale, Multi-Class Agent-Based Models of Biological Systems
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Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Learning
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Generalizable Data-driven Models for Personalized Shared Control of Human-Machine Systems
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Socio-technical Systems for Identifying Latent Knowledge Gaps
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Intrusion Response via Graph-based Low-level System Event Analysis
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Designing Online Social Support Systems to Build the Self-Efficacy of Newcomers
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Relational Mechanisms in Team Self-Assembly: A Network and Computational Approach
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Approximation Algorithms for Explainable Clustering
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The Effect of Availability, Message Attributes, and Relational Variables on Predicting Mobile Responsiveness
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Neural Network Approaches for Video Transmission, Motion Estimation and Error Concealment
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Sound Event Annotation and Detection with Less Human Effort
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Learning Visual Matching From Small-Size Samples
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Reasoning and Structured Explanations in Natural Language via Analogical and Neural Learning
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Deep Reinforcement Learning based Wireless Resource Management
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Revelation Gap in Prior-independent Mechanism Design
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Building a Private Data Federation: Security and Privacy Guarantees for Distributed Analytics
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Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures
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Biases as Values: Evaluating Algorithms in Context
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Mutational Processes Modeling and Early Cancer Diagnosis
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