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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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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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The Learning and Communication Complexity of Subsequence Containment
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Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning
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Effects of Digital Jury Moderation on the Polarization of Social Media Users
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Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Evaluating SGX’s Remote Attestation Security Through the Analysis of Copland Phrases
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Human-In-The-Loop Person Re-Id for Sensitive Datasets
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Improving Automated Assessment for Student Open-responses in Mathematics
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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Artistic Reflection Through Co-Creative Support Tool Curation
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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Searching for Contextual Subtasks for Semantic Segmentation
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The Effects of Latency and Game Device on Moving Target Selection
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Display of Multi-Attribute Data Using a Presentation Description Language
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A Study of Replicated and Distributed Web Content
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Quantifying Resource Sharing, Resource Isolation and Agility for Web Applications with Virtual Machines
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Using Network Application Behavior to Predict Performance
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Network Performance Evaluation within the Web Browser Sandbox
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