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Variable importance measure for spatial machine learning models with application to air pollution exposure prediction

Variable importance measure for spatial machine learning models with application to air pollution exposure prediction

Machine Learning Applications in Manufacturing - Challenges, Trends, and Future Directions

Machine Learning Applications in Manufacturing - Challenges, Trends, and Future Directions

The harms of class imbalance corrections for machine learning based prediction models - a simulation study

The harms of class imbalance corrections for machine learning based prediction models - a simulation study

Predicting particle catchment areas of deep-ocean sediment traps using machine learning

Predicting particle catchment areas of deep-ocean sediment traps using machine learning

Machine-learning surrogate modeling approaches used in electromechanical systems and electrical components - Bachelor’s thesis

Machine-learning surrogate modeling approaches used in electromechanical systems and electrical components - Bachelor’s thesis

A structured comparison of causal machine learning methods to assess heterogeneous treatment effects in spatial data

A structured comparison of causal machine learning methods to assess heterogeneous treatment effects in spatial data

Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models

Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models

Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts

Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction

Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations - Key vanishing gradient - improved numerical solutions

Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations - Key vanishing gradient - improved numerical solutions

A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data in Virtual Reality

A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data in Virtual Reality

A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments - initial case study

A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments - initial case study

The cadenza woodwind dataset - Synthesised quartets for music information retrieval and machine learning - Data Article

The cadenza woodwind dataset - Synthesised quartets for music information retrieval and machine learning - Data Article

What is it for a Machine Learning Model to Have a Capability?

What is it for a Machine Learning Model to Have a Capability?

Model-Driven Cosmology With Bayesian Machine Learning and Population Inference

Model-Driven Cosmology With Bayesian Machine Learning and Population Inference