Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction

Open data and energy analytics

Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning

Automated classification of brain tissue: Comparison between hyperspectral imaging and diffuse reflectance spectroscopy

Wavelet scattering network-based machine learning for ground penetrating radar imaging: Application in pipeline identification

Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors

Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China

Hierarchical radar data analysis for activity and personnel recognition

Machine Learning Against Terrorism: How Big Data Collection and Analysis Influences the Privacy-Security Dilemma

The mental machine: Classifying mental workload state from unobtrusive heart rate-measures using machine learning

A nonintrusive adaptive reduced order modeling approach for a molten salt reactor system

Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics

Preliminary attempt to predict risk of invasive pulmonary aspergillosis in patients with influenza: Decision trees may help?

Unsupervised approach towards analysing the public transport bunching swings formation phenomenon

Automatic high-resolution microseismic event detection via supervised machine learning

Automatic gene function prediction in the 2020’s

Predictive and generative machine learning models for photonic crystals

De (On)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen

Pricing Options and Computing Implied Volatilities using Neural Networks

Learning about risk: Machine learning for risk assessment