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What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
(2024)CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing SystemsDespite significant progress, evaluation of explainable artificial intelligence remains elusive and challenging. In this paper we propose a fine-grained validation framework that is not overly reliant on any one facet of these sociotechnical systems, and that recognises their inherent modular structure: technical building blocks, user-facing explanatory artefacts and social communication protocols. While we concur that user studies are ...Other Conference Item -
Ongoing work for the study of site amplification phenomena in the Swiss alpine valleys and their implication for the Swiss building code
(2023)Abstract Volume 21st Swiss Geoscience MeetingOther Conference Item -
An Ionospheric Forecasting Model Based on Transfer Learning Using High-Resolution Global Ionospheric Maps
(2024)EGUsphereOther Conference Item -
Developing an Automated Observability System for HPC: Integrating Operational and Energy Datasets
(2024)Other Conference Item -
Modelling the mountain boundary layer: Does higher resolution improve model performance?
(2024)The horizontal grid spacing of numerical weather prediction models keeps decreasing towards the hectometric range, where topography, land-use, and other static parameters are well-resolved. Still, models have to be evaluated over complex terrain, because it cannot be assumed that higher horizontal resolution automatically yields better model performance. In this study, we perform limited-area simulations with the ICON model across horizontal ...Other Conference Item -
Non-line-of-sight GNSS Signal Classification for Urban Navigation Using Machine Learning
(2024)EGUsphereOther Conference Item -
Improving the planning of future track interventions using digital tools
(2024)Other Conference Item -
Assimilating UAV-based GNSS ZTDs for Numerical Weather Predictions
(2024)EGUsphereIn recent decades, various studies have demonstrated that assimilating tropospheric parameters from ground-based GNSS receivers benefits numerical weather predictions (NWPs). However, the achieved performance is limited by the spatial resolution of GNSS, especially in the vertical direction. With the rapidly developing and growing market of unmanned aerial vehicles (UAVs) and the facilitates of integrating low-cost GNSS hardware into ...Other Conference Item -
Explaining GNSS station movements based on Earth observation data
(2024)EGUsphereOther Conference Item