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Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria - a proof of concept study
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Analyzing the Potential of a statistically-based Integer Factorization Method for use in Machine Learning by means of Prime Characteristics, Statistics and Geometry - Dissertation
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Creation and configuration of hybrid machine learning models for process optimization in the series production of complex optics - Final report
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Machine Learning-Based Methods for Code Smell Detection - A Survey
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Statistical and machine learning approaches to describe factors affecting preweaning mortality of piglets
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Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior through Machine Learning - A Systematic Literature Review, 2013-2023
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Radial polarisation patterns identify macular damage - a machine learning approach
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DEVELOPMENT OF A MACHINE LEARNING BASED FAULT DETECTION MODEL FOR RECEIVED SIGNAL LEVEL IN TELECOMMUNICATION ENTERPRISE INFRASTRUCTURE
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Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery - Original Investigation
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Machine learning applied to species occurrence and interactions: the missing link in biodiversity assessment and modelling of Antarctic plankton distribution
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Mixing predictions for online metric algorithms - arXiv 2304.01781v2 - Abstract and introduction
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The Matérn Model - A Journey through Statistics, Numerical Analysis and Machine Learning
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Simulation-Based Optimization of a DC Microgrid - With Machine-Learning-Based Models and Hybrid Meta-Heuristic Algorithms - Doctoral Dissertation
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Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions - Research Article
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