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Machine learning from limited data - Predicting biological dynamics under a time-varying external input
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Practitioners and Bias in Machine Learning - A Study
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Position Paper - Bridging the Gap Between Machine Learning and Sensitivity Analysis - Unified SA-based view of ML explanations
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Machine learning approach for vibronically renormalized electronic band structures
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Machine learning-based algorithms for the prediction of 90-day survival in patients with liver failure receiving artificial liver therapy
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Evaluating the Energy Consumption of Machine Learning - Systematic Literature Review and Experiments
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Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
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Finite-element Gaussian processes for the machine learning of steady-state linear partial differential equations - Research article overview
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Machine Learning Models for Predicting the Need for Early Packed Red Blood Cell Transfusion in Multiple Trauma Patients
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Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina Patients Using Multi-Modal Machine Learning
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Machine learning for Time Slot Management in Grocery Delivery
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Development and validation of a comprehensive machine learning framework for a diagnostic model of uremia based on genes involved in major depressive disorder
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Machine Learning of Knot Topology in Non-Hermitian Band Braids
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Hybrid Machine Learning for CNC Process Monitoring
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