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Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain
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Machine learning to predict poor school performance in paediatric survivors of intensive care - a population-based cohort study
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Towards the prediction of the effect of food on orally administered medicines using preclinical in vivo models and machine learning technologies - Doctor of Philosophy thesis
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Strong and weak principles of Bayesian machine learning for systems neuroscience - Doctor of Philosophy dissertation
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Machine Learning in Tremor Analysis - Critique and Directions
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An Architectural Technical Debt Index Based on Machine Learning and Architectural Smells - A novel approach to estimate architectural technical debt principal
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UNOBTRUSIVE DATA COLLECTION IN CLINICAL SETTINGS - FOR ADVANCED PATIENT MONITORING AND MACHINE LEARNING
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Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
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Orit Halpern - Neural ‘Freedoms’ - Population, Choice, and Machine Learning
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Predicting Lapse Rate in Life Insurance - An Exploration of Machine Learning Techniques
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Machine learning methods for genomic high-content screen data analysis applied to deduce organization of endocytic network - Dissertation
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Optimized Classification of Cardiovascular Disease Using Machine Learning Paradigms
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COVID-19 Symptoms Clustering and Severity Classification Using Machine Learning Approach - Research Summary
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Prediction of Airport Pavement Moduli - Using Machine Learning Methodology with Non-destructive Field Testing Data Augmentation
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