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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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The Impact of Latency on Players in First-person Shooter Games
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MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference
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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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Big Time Series Analytics Using a Distributed Infrastructure
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Compositional Embeddings and Their Applications in Speaker Diarization
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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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Visual Analytics for Smartphone Health Phenotyping
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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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Improving Automated Assessment for Student Open-responses in Mathematics
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
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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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Searching for Contextual Subtasks for Semantic Segmentation
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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Artistic Reflection Through Co-Creative Support Tool Curation
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Residential Network Security: Using Software-defined Networking to Inspect and Label Traffic
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