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Machine Learning Models for Passive Pre-symptomatic Detection of Covid-19 from Smart Wearable Data
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Using Autoencoder Feature Residuals to Improve Network Intrusion Detection
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Live Performance and Emotional Analysis of MathSpring Intelligent Tutor System Students
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Deep Learning on Graph-structured Data
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Detecting Data Manipulation Attacks on Physiological Sensor Measurements in Wearable Medical Systems
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Feasibility Study on Smart Cloud Commuting with Shared Autonomous Vehicles
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Scalable User Assignment in Power Grids: A Data Driven Approach
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