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Empowering Teachers to CT-ify the Science Classroom: Moving from Educational Technology to Computational Thinking
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Measuring Model-Based Learning of Complex Systems with Multiple Data Streams
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Real-Time View Synthesis using Deep Learning
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Bayesian-robust Algorithms Analysis with Applications in Mechanism Design
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Methods for Nonlinear and Noisy Optimization
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Understanding Self-Tracked Data from Bounded Situational Contexts
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Decentralized Persistent Shape Formation in Large-Scale Homogeneous Robotic Swarms
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Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes
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Incremental Structure Building and Islands
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IMPROVING SECURITY AND ROBUSTNESS OF HARDWARE AND LEARNING SYSTEMS
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Intrusion Response via Graph-based Low-level System Event Analysis
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Revelation Gap in Prior-independent Mechanism Design
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Accelerated Cardiovascular MRI using Compressed Sensing and Artificial Intelligence
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Supportive Family Communication During the Transition to College
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Understanding and Mitigating New Risks in Location-Aware Technologies
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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
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Using Computational Models to Create Perceptually Relevant User Interfaces for Nonvisual Artifacts
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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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