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Learning from Limited and Imperfect Data in Cyber-Physical System
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Integrating Heterogeneous Traffic Data Sources with High Definition Maps in Autonomous Driving
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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
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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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Analyzing the Role of Natural Language in Neural-Symbolic Models
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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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