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Understanding and Improving Content Distribution Through Expansive Network Measurements
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Mathematical Models for Human-Robot Systems in Assistive Robotics: Perception, Inference, and Assistance
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Computational Approaches to Detection of Narrative Frames in News
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Identifying and Addressing Structural Inequalities in the Representativeness of Geographic Technologies
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Intensionality and Abstraction: A Theory of Logical Form
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Discriminative Dimensionality Reduction using Deep Neural Networks
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Three Studies on Technological Support for Participation in Volunteer Communities
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Neural Network Design and Modulation for Medical Image and Video Segmentation
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Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution
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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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Sound Event Annotation and Detection with Less Human Effort
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Building a Private Data Federation: Security and Privacy Guarantees for Distributed Analytics
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Biases as Values: Evaluating Algorithms in Context
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Synergy of Physics and Learning-based Models in Computational Imaging and Display
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Designing Flexible Coordination Systems to Advance Individual and Collective Goals in Physical Crowdsourcing
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Presenting the Self on Unstable Ground: Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms
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Learning under Adversarial Resilience
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Topics in Statistical Modeling for Unstructured Text Data with Application to Commonsense Inference
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Designing Assistive Technologies for Context-Specific Communication for People with Aphasia in Novel and Real-World Settings
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