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Topics in Machine Learning Optimization
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Development of Informatics Methods for Analysis of Complex Gene Regulation and Transcriptome Diversity Data in Cancer
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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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Methods for Images, Time Series, and Activation Functions with Deep Neural Networks
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