Turning noise into data: a discovery strategy for new weakly-interacting physics
BFH
ML
Probabilistic Intraday Forecasting of Photovoltaic Power generation for the Swiss Plateau
ML
MAS
Gov-ELSI
Personalized Explainable Artificial Intelligence for decentralized agents with heterogeneous knowledge
UniBE
Robotics
HMI
Optimize Motor Learning to Improve Neurorehabilitation
EPFL
CV
ML
Gov-ELSI
Measuring and Improving Explainability for AI-based Face Recognition
ML
Interpretable artificial intelligence for computational biology: extracting new insights from single-cell proteomic data.
UniBE
ML
Improving Interpretability. Philosophy of Science Perspectives on Machine Learning
EPFL
ML
Graph Neural Networks for Explainable Artificial Intelligence
NLP
CV
HMI
Comprehensive data-driven Risk and Threat Assessment Methods for the Early and Reliable Identification, Validation and Analysis of migration-related risks
