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Towards provably efficient quantum algorithms for large-scale machine-learning models
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Quantum machine learning for image classification - Abstract and study overview
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The transformative potential of machine learning for experiments in fluid mechanics
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A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
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MHfit - Mobile Health Data for Predicting Athletics Fitness Using Machine Learning
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Privacy-Preserving Machine Learning for Healthcare - Open Challenges and Future Perspectives - Review
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Will the biopsychosocial model of medicine survive in the age of artificial intelligence and machine learning? - Scholarly reflection on personalized medicine
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Derivative-based Shapley value for global sensitivity analysis and machine learning explainability
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Crime Prediction Using Machine Learning and Deep Learning - A Systematic Review and Future Directions
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Machine Learning Tools to Improve Nonlinear Modeling Parameters of RC Columns
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Kinematic Evidence of an Embedded Protoplanet in HD 142666 - Identified by Machine Learning
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Prediction of Dementia Using Machine Learning Model and Performance Improvement with Cuckoo Algorithm
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Increasing Transparency on Housing Markets through Machine Learning
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Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data - Full paper
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