This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

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 …

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 …

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 …

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 …

The disagreement problem arises when multiple explainability (XAI) methods provide
different local and global explanations for a machine learning model. This inconsistency can …