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An Adaptive Pattern Recognition Algorithm for a Powered Lower Limb Prosthesis
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Machine Learning for Materials Discovery and Design
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Mining Social Media for Healthcare Intelligence
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Machine learning approaches towards understanding movement planning in naturalistic settings
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Methods for Images, Time Series, and Activation Functions with Deep Neural Networks
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Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision
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A Data-driven Approach for Heterogeneous Materials Design
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Computational Electron Microscopy for the Characterization of Soft, Hard, and Hybrid Materials
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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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Nonequilibrium Dynamics of Soft Materials
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Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microstructure Nonstationarity Analysis and Deep Learning Segmentation for Multiphase Materials
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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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Monitoring Ablation Therapy Using Ensemble Learning Models
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Development of Informatics Methods for Analysis of Complex Gene Regulation and Transcriptome Diversity Data in Cancer
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