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Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data

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Harnessing serum VOCs and machine learning for the early detection of MAFLD

Harnessing serum VOCs and machine learning for the early detection of MAFLD

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A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes

A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes

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Proceedings of the 23rd EuroFM Research Symposium - Scientific and Best Paper Committee Proceedings - Preface and Papers

Proceedings of the 23rd EuroFM Research Symposium - Scientific and Best Paper Committee Proceedings - Preface and Papers

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Machine learning applied to global scale species distribution models - Applied research summary

Machine learning applied to global scale species distribution models - Applied research summary

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Applications of Machine Learning and General-Purpose GPU Programming in Computational Drug Discovery - Dissertation

Applications of Machine Learning and General-Purpose GPU Programming in Computational Drug Discovery - Dissertation

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Machine learning from limited data - Predicting biological dynamics under a time-varying external input

Machine learning from limited data - Predicting biological dynamics under a time-varying external input

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Integration of machine learning and large language models for screening and identifying key risk factors of acute kidney injury after cardiac surgery

Integration of machine learning and large language models for screening and identifying key risk factors of acute kidney injury after cardiac surgery

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Practitioners and Bias in Machine Learning - A Study

Practitioners and Bias in Machine Learning - A Study

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Machine learning approach for vibronically renormalized electronic band structures

Machine learning approach for vibronically renormalized electronic band structures

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Position Paper - Bridging the Gap Between Machine Learning and Sensitivity Analysis - Unified SA-based view of ML explanations

Position Paper - Bridging the Gap Between Machine Learning and Sensitivity Analysis - Unified SA-based view of ML explanations

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Machine learning-based algorithms for the prediction of 90-day survival in patients with liver failure receiving artificial liver therapy

Machine learning-based algorithms for the prediction of 90-day survival in patients with liver failure receiving artificial liver therapy

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Machine learning model for predicting epidermal growth factor receptor expression status in breast cancer using ultrasound radiomics

Machine learning model for predicting epidermal growth factor receptor expression status in breast cancer using ultrasound radiomics

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Evaluating the Energy Consumption of Machine Learning - Systematic Literature Review and Experiments

Evaluating the Energy Consumption of Machine Learning - Systematic Literature Review and Experiments

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Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning

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