[HTML][HTML] Recent Applications of Explainable AI (XAI): A Systematic Literature Review
M Saarela, V Podgorelec - Applied Sciences, 2024 - mdpi.com
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Using Explainable Artificial Intelligence (XAI) to Predict the Influence of Weather on the Thermal Soaring Capabilities of Sailplanes for Smart City Applications
M Schnieder - Smart Cities, 2024 - mdpi.com
Background: Drones, also known as unmanned aerial vehicles, could potentially be a key
part of future smart cities by aiding traffic management, infrastructure inspection and maybe …
part of future smart cities by aiding traffic management, infrastructure inspection and maybe …
Boolformer: Symbolic regression of logic functions with transformers
In this work, we introduce Boolformer, the first Transformer architecture trained to perform
end-to-end symbolic regression of Boolean functions. First, we show that it can predict …
end-to-end symbolic regression of Boolean functions. First, we show that it can predict …
Advancing allergy source mapping: A comprehensive multidisciplinary framework integrating machine learning, graph theory and game theory
I Singh, K Agarwal, S Ganapathy - Applied Soft Computing, 2024 - Elsevier
Allergic reactions can range from mild discomfort to life-threatening situations. To manage
the healthcare difficulty, an efficient allergens mapping is required by mapping the allergies …
the healthcare difficulty, an efficient allergens mapping is required by mapping the allergies …
Towards consistency of rule-based explainer and black box model--fusion of rule induction and XAI-based feature importance
M Kozielski, M Sikora, Ł Wawrowski - arXiv preprint arXiv:2407.14543, 2024 - arxiv.org
Rule-based models offer a human-understandable representation, ie they are interpretable.
For this reason, they are used to explain the decisions of non-interpretable complex models …
For this reason, they are used to explain the decisions of non-interpretable complex models …
Approach for Explainable AI Method Agreement for Disagreement Problem
G Parashar, A Chaudhary, D Pandey - 2024 - researchsquare.com
The disagreement problem arises when multiple explainability (XAI) methods provide
different local and global explanations for a machine learning model. This inconsistency can …
different local and global explanations for a machine learning model. This inconsistency can …