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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials
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Detecting Data Manipulation Attacks on Physiological Sensor Measurements in Wearable Medical Systems
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Recurring Query Processing on Big Data
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Pattern Mining and Sense-Making Support for Enhancing the User Experience
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Event stream analytics
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Deep Learning on Attributed Sequences
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Exploiting Flow Relationships to Improve the Performance of Distributed Applications
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How's My Network - Incentives and Impediments of Home Network Measurements
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Deep Learning on Graph-structured Data
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Sequential Data Mining and its Applications to Pharmacovigilance
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Quantifying, Modeling and Managing How People Interact with Visualizations on the Web
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Time Series Data Analytics
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Development of a Data-Grounded Theory of Program Design in HTDP
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Contextual Outlier Detection from Heterogeneous Data Sources
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Ranking for Decision Making: Fairness and Usability
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Attention-based Deep Learning Models for Text Classification and their Interpretability
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Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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