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Memory Efficient Shadow Stacks for Real-Time Embedded Systems
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Programming Abstractions for GPU-Accelerated Agent-Based Simulations
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Towards Mental Workload Time Series Classification and Interpretation for Real-Time Feedback in Brain-Computer Interfacing Video Games
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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations
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Effects of Digital Jury Moderation on the Polarization of Social Media Users
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Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning
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The Learning and Communication Complexity of Subsequence Containment
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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