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Development of Informatics Methods for Analysis of Complex Gene Regulation and Transcriptome Diversity Data in Cancer
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Understanding Control of the Shoulder after Stroke Towards Myoelectric Control of Vertical Support to Improve Reach
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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
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Monitoring Ablation Therapy Using Ensemble Learning Models
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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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