Automatic Detection of Parasites in Stool and Blood Smear Images using Trustworthy Machine Learning

Digital innovation for man and society

Enabling personalized medicine by optimizing disease treatments with hybrid machine learning

Explainable, human-in-the-loop hybrid AI, resolving conflicting user feedback

Explainable, human-in-the-loop hybrid AI, resolving conflicting user feedback and in a federated learning setting

HEROI2C: Hybrid machinE leaRning for Improved Infection management in Critically ill patients

Hybrid machine learning with BIM for energy optimization and dweller well-being in smart buildings

Monitoring offshore wind turbines using advanced sensor technologies

Motion Analysis & adaptation using wearable MEMS sensors

Physics-enhanced machine learning for domain-aware predictive maintenance.

Promoting stable remission in depression by combining e-health and cognitive science: the development of DEpression’s DIgital foreCAsting Tool (DEDICAT)

Protecting future fusion power plants – Development of efficient and real-time plasma disruption predictors for ITER by combining advanced data-driven models with physics insights

Time-spatial enrichment of (meta) data for optimizing the exploration and exploitation of scientific collections

Towards precision health by enabling multimodal monitoring in real-life settings using uncertainty based, hierarchical, and time-dynamic models

Towards precision health by enabling multimodal monitoring in real-life settings using uncertainty based hierarchical and time-dynamic models

Cyberbullying among adolescents: behavioural determinants and effectiveness of an intervention to promote active positive bystander behaviour

Dynamic hybrid models for virtual scenario testing and optimal design of drivetrains

Testing & optimising a mobile app in Belgium for the prevention and management of COVID-19 infections

Testing & optimising the COVered App for the prevention and management of COVID-19 infections