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Integrating Nonindividual Patient Features in Machine Learning Models of Hospital-Onset Bacteremia

Integrating Nonindividual Patient Features in Machine Learning Models of Hospital-Onset Bacteremia

Added by Aurelia

Minimax-Bayes Reinforcement Learning - Abstract

Minimax-Bayes Reinforcement Learning - Abstract

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Multicenter validation of a machine learning model for surgical transfusion risk at 45 US hospitals - Open Access Publication

Multicenter validation of a machine learning model for surgical transfusion risk at 45 US hospitals - Open Access Publication

Added by Aurelia

Tool Wear Monitoring Using Multi-sensor Time Series and Machine Learning

Tool Wear Monitoring Using Multi-sensor Time Series and Machine Learning

Added by Aurelia

Prediction of symptomatic and asymptomatic bacteriuria in spinal cord injury patients using machine learning

Prediction of symptomatic and asymptomatic bacteriuria in spinal cord injury patients using machine learning

Added by Aurelia

Towards Practical Machine Learning for Program Analysis and Optimisation - Chapter 1

Towards Practical Machine Learning for Program Analysis and Optimisation - Chapter 1

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Essays in Econometrics and Machine Learning - Thesis (Ph.D. in Economics)

Essays in Econometrics and Machine Learning - Thesis (Ph.D. in Economics)

Added by Aurelia

AI Meets the Eye of the Storm - Machine Learning-Driven Insights for Hurricane Damage Risk Assessment in Florida

AI Meets the Eye of the Storm - Machine Learning-Driven Insights for Hurricane Damage Risk Assessment in Florida

Added by Aurelia

A Machine Learning-Based Approach To Identify Peripheral Artery Disease Using Texture Features From Contrast-Enhanced Magnetic Resonance Imaging

A Machine Learning-Based Approach To Identify Peripheral Artery Disease Using Texture Features From Contrast-Enhanced Magnetic Resonance Imaging

Added by Aurelia

THE DEVELOPMENT OF A TEXT GENERATION MODEL FOR SEPEDI LANGUAGE USING TRANSFORMER-BASED MACHINE LEARNING TECHNIQUES

THE DEVELOPMENT OF A TEXT GENERATION MODEL FOR SEPEDI LANGUAGE USING TRANSFORMER-BASED MACHINE LEARNING TECHNIQUES

Added by Theodora

Neuroimaging and machine learning in eating disorders: a systematic review

Neuroimaging and machine learning in eating disorders: a systematic review

Added by Theodora

Toward Effective and Generalisable Machine Learning for Biosignal Time Series - Doctoral Thesis

Toward Effective and Generalisable Machine Learning for Biosignal Time Series - Doctoral Thesis

Added by Theodora

Prediction of spatter-related defects in metal laser powder bed fusion by analytical and machine learning modelling applied to off-axis long-exposure monitoring

Prediction of spatter-related defects in metal laser powder bed fusion by analytical and machine learning modelling applied to off-axis long-exposure monitoring

Added by Theodora

Investigating agricultural drought in Northern Italy through explainable Machine Learning: Insights from the 2022 drought

Investigating agricultural drought in Northern Italy through explainable Machine Learning: Insights from the 2022 drought

Added by Theodora

Integrating deep learning and machine learning for ceramic artifact classification and market value prediction - research

Integrating deep learning and machine learning for ceramic artifact classification and market value prediction - research

Added by Theodora