4 papers
Segmentation and Smoothing Affect Explanation Quality More Than the Choice of Perturbation-based XAI Method for Image Explanations
Gustav Grund Pihlgren, Kary Främling
Perturbation-based post-hoc image explanation methods are commonly used to explain image prediction models. These methods perturb parts of the input to measure how those parts affe…
Bounded fuzzy logic control for optimal scheduling of green hydrogen production and revenue maximisation
Sleiman Farah, Jens Jakob Sørensen, Kary Främling +1
Hydrogen Purchase Agreements (HPAs) guarantee revenue streams that mitigate the financial risks inherent in the long-term production of green hydrogen from renewable energy sources…
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
Nazanin Fouladgar, Marjan Alirezaie, Kary Främling
Local explanation of machine learning (ML) models has recently received significant attention due to its ability to reduce ambiguities about why the models make specific decisions.…
Synthetic imagery for fuzzy object detection: A comparative study
Siavash H. Khajavi, Mehdi Moshtaghi, Dikai Yu +3
The fuzzy object detection is a challenging field of research in computer vision (CV). Distinguishing between fuzzy and non-fuzzy object detection in CV is important. Fuzzy objects…