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Simulation Modelling for Machine Learning - Identification of Single Nucleotide Polymorphisms in Human Genomes

Simulation Modelling for Machine Learning - Identification of Single Nucleotide Polymorphisms in Human Genomes

The application of multi-modal machine learning to identify new biomarkers for neurological diseases - Doctor of Philosophy thesis

The application of multi-modal machine learning to identify new biomarkers for neurological diseases - Doctor of Philosophy thesis

Identifying important individual-and country-level predictors of conspiracy theorizing - A machine learning analysis

Identifying important individual-and country-level predictors of conspiracy theorizing - A machine learning analysis

White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals - machine learning findings from the ENIGMA OCD Working Group

White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals - machine learning findings from the ENIGMA OCD Working Group

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop

An omics-based machine learning approach to predict diabetes progression - a RHAPSODY study

An omics-based machine learning approach to predict diabetes progression - a RHAPSODY study

Machine Learning Approaches Identify Chemical Features for StageSpecific Antimalarial Compounds

Machine Learning Approaches Identify Chemical Features for StageSpecific Antimalarial Compounds

A novel machine learning-based prediction method for patients at risk of developing depressive symptoms - Abstract

A novel machine learning-based prediction method for patients at risk of developing depressive symptoms - Abstract

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

A Proposed Two-Level Classification Approach for Forensic Detection of Diesel Adulteration Using NMR Spectroscopy and Machine Learning

A Proposed Two-Level Classification Approach for Forensic Detection of Diesel Adulteration Using NMR Spectroscopy and Machine Learning

A Machine Learning Framework to Identify the Correlates of Disease Severity in Acute Arbovirus Infection

A Machine Learning Framework to Identify the Correlates of Disease Severity in Acute Arbovirus Infection

Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank

Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank

Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts

Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts

Generalizable machine learning methods for network inference in systems biology

Generalizable machine learning methods for network inference in systems biology

Surface Turbulent Fluxes From the MOSAiC Campaign Predicted by Machine Learning - Research Letter

Surface Turbulent Fluxes From the MOSAiC Campaign Predicted by Machine Learning - Research Letter