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Machine Learning for Materials Discovery and Design
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Digitization for Innovative Platform Design and Advertising
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Computational Approaches for Enhanced Metabolomics Annotation and DNA-based Biorecording and Data Storage
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Polymeric Nanomaterials for Photocatalysis and Regenerative Medicine: Integrating Machine Learning and Synthetic Approaches for Materials Design
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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
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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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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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Machine learning approaches towards understanding movement planning in naturalistic settings
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