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Generative Machine Learning for Simulation-based Inference in High Energy Physics - Dissertation
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Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets
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Structure of Rise in Monthly Temperature in Europe as Estimated by Machine Learning
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MACHINE LEARNING AND DEEP LEARNING IN HEALTHCARE - ADVANCING CARDIAC ARRHYTHMIA CLASSIFICATION IN HEALTHCARE ANALYTICS - Work Project
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Exploring Machine Learning Techniques for Predicting Open Stope Stability in Underground Mining - Evaluating Accuracy and Applicability - Doctor of Philosophy Thesis
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Machine Learning for Interference Detection and Mitigation on Deep Space Telecom Signals
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Performance evaluation of machine learning algorithms in predicting machining responses of superalloys
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Incidence and severity of aortic stenosis according to machine learning predicted risk of atrial fibrillation
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Exploring Quantum Machine Learning-Enhanced Models for EEG Data Classification - Master of Science Thesis
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Probabilistic machine learning aided transformer lifetime prediction framework for wind energy systems - Paper summary
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Multivariate functional data analysis and machine learning methods for anomaly detection in water quality sensor data
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VR Cybersickness Classification Using Machine Learning Models on Open-Access EEG Datasets from the Human Vestibular Network
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Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern - the impact of dataset balancing techniques
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Well-being trajectories in breast cancer and their predictors - A machine-learning approach
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