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Semantic Guided Multi-Future Human Motion Prediction - Master’s Thesis
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Too much information is no information - how machine learning and feature selection could help in understanding the motor control of pointing
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A Methodology Based on Quality Gates for Certifiable AI in Medicine - Towards a Reliable Application of Metrics in Machine Learning
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Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records - Proceedings
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Mean Absolute Directional Loss as a New Loss Function - for Machine Learning Problems in Algorithmic Investment Strategies
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Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction
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Artificial Intelligence for the Prediction of Weaning Readiness Outcome in a Multi-centrical Clinical Cohort of Mechanically Ventilated Patients - Tesi di Laurea
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Exploration and Exploitation Approaches Based on Generative Machine Learning to Identify Potent Small Molecule Inhibitors of α‑Synuclein Secondary Nucleation
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Multitemporal Analysis in Google Earth Engine - Detecting Urban Changes Using Optical Data and Machine Learning Algorithms
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Machine learning based analysis for intellectual disability in Down syndrome
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EWSmethods - an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models
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Computational Notebooks as Co-Design Tools - Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models
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From Isotopes and Whole Rock Geochemistry to Machine Learning - Diving into the Plumbing System of Large Mafic Eruptions Using a Diverse Geochemical Toolset to Investigate Magmatic Processes
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Assessing accuracy of machine learning-based protein structure prediction model with molecular dynamics stabilization simulations - Master’s thesis
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