IEEE

Boosting Weak Learners With Multi-Agent Reinforcement Learning for Enhanced Stacking Models: An Application on Driver Emotion Classification

Abstract: Recently, there has been an increasing interest in the effects of stress and negative emotions on driving performance and road safety. As a consequence, there is a growing interest in ...
IEEE

Code Speaks Louder: Exploring Security and Privacy Relevant Regional Variations in Mobile Applications

Abstract: Mobile apps are known to distribute different versions across geographic regions to accommodate local regulations and market preferences. While prior research has examined metadata-level ...
The Lancet

Blood and CSF biomarkers for multiple sclerosis: emerging clinical applications

eMultiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, ...
GitHub

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning (ICCV2025)

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...