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Supporting long-term condition management - a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insights

Supporting long-term condition management - a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insights

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Continual Learning - Theoretical and Empirical Analysis of Infinitely Wide Neural Networks

Continual Learning - Theoretical and Empirical Analysis of Infinitely Wide Neural Networks

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On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring - submitted version

On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring - submitted version

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Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Patients Using Radiomics Features Extracted from Eye Images - Master Thesis

Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Patients Using Radiomics Features Extracted from Eye Images - Master Thesis

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Rapid Parameter Estimation for Merging Massive Black Hole Binaries Using Continuous Normalizing Flows

Rapid Parameter Estimation for Merging Massive Black Hole Binaries Using Continuous Normalizing Flows

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The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic - evidence from Wuhan-area hospitals

The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic - evidence from Wuhan-area hospitals

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Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems - Chapter 1 - Abstract and Workflow Overview

Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems - Chapter 1 - Abstract and Workflow Overview

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The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency in Type 2 Diabetes Patients

The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency in Type 2 Diabetes Patients

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Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach

Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach

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An Overview on Machine Learning Methods for Partial Differential Equations - from Physics Informed Neural Networks to Deep Operator Learning

An Overview on Machine Learning Methods for Partial Differential Equations - from Physics Informed Neural Networks to Deep Operator Learning

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IMPACTS OF DATA PREPROCESSING AND HYPERPARAMETER OPTIMIZATION ON THE PERFORMANCE OF MACHINE LEARNING MODELS APPLIED TO INTRUSION DETECTION SYSTEMS

IMPACTS OF DATA PREPROCESSING AND HYPERPARAMETER OPTIMIZATION ON THE PERFORMANCE OF MACHINE LEARNING MODELS APPLIED TO INTRUSION DETECTION SYSTEMS

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A chemical bond-based machine learning model for dipole moment - Application to dielectric properties of liquid methanol and ethanol

A chemical bond-based machine learning model for dipole moment - Application to dielectric properties of liquid methanol and ethanol

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The Challenges of Machine Learning: A Critical Review

The Challenges of Machine Learning: A Critical Review

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Cross Validation Machine Learning Model Predicts More Accurate - A Comparative Study of Heart Disease - Using Linear Regression, Support Vector Machine, K Neighbors and Random Forest Models

Cross Validation Machine Learning Model Predicts More Accurate - A Comparative Study of Heart Disease - Using Linear Regression, Support Vector Machine, K Neighbors and Random Forest Models

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The 5th Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0) - Extended Abstract Book

The 5th Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0) - Extended Abstract Book

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