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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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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
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Toward a Digital Twin of Metal Additive Manufacturing: Process Optimization and Control Enabled by Physics-based and Data-driven Models
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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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Bias in Big Data: 2019 Workshop White Paper
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Machine Learning to Identify Cells in Zebrafish-Skin Patterns
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Ukraine Invasion - A Chronicle of Russian Propaganda
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