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Towards Understanding Deep Learning via Statistical Physics
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Analyzing the Role of Natural Language in Neural-Symbolic Models
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Predicting Employee Engagement: Machine Learning Applications to the Personality-Engagement Link
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Optimization Methods for Scale Invariant Problems in Machine Learning
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Recurrent Neural Network Architectures for Sequence Classification and Explanation
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Generalizable Data-driven Models for Personalized Shared Control of Human-Machine Systems
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Mutational Processes Modeling and Early Cancer Diagnosis
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Predictive Traffic Operations and Control of Connected and Automated Vehicle Systems
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Mining Social Media for Healthcare Intelligence
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Machine Learning for Materials Discovery and Design
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