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Enhancing Power System and Market Operations through Stochastic Modeling, Inverse Optimization, and Machine Learning - Dissertation
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Optimizing thrombolytic activity of staphylokinase using machine learning-guided directed evolution - Supervisor’s statement and evaluation
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An integrated machine learning framework for developing and validating diagnostic models and drug predictions based on ulcerative colitis genes - Original Research
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Extending Machine Learning of Cyberattack Strategies with Continuous Transition Rates
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Machine learning applications in the analysis of sedentary behavior and associated health risks - review
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Interpretable machine learning model for identification and risk factor of premature rupture of membranes (PROM) and its association with nutritional inflammatory index - a retrospective study
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Human Interfaces with Machine Learning Recognition Systems - PhD Thesis Abstract
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Machine-learning-based probabilistic forecasting of solar irradiance in Chile
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Assessing the Key Drivers of Arctic Sea Ice Decline Through Machine Learning Techniques - Tesi di Laurea Magistrale
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A Quantitative Evaluation of Tiny Machine Learning Models - for Limited-Vocabulary Speech Processing Applications
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Controlling a Prosthetic Limb via Interpreting Arbitrary Signals Through Machine Learning - Thesis
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What Makes an Ad Memorable - A Multimodal Machine Learning Study in Neuromarketing
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Predicting Housing Tenure Decisions in Los Angeles Using Several Machine Learning Algorithms
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An Assessment of Machine Learning Models and Algorithms for Early Prediction and Diagnosis of Diabetes Using Health Indicators
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