… received and presented at xAI 2024, describing recent … and intensive, ensuring that xAI-2024
adhered to the highest … novel research studies relevant to xAI, which were presented …

… the way for engaging with more advanced XAI techniques in future research while mitigating
… In summary, XAI can make a significant contribution to more responsive and accountable …

Protein pocket detection is an essential step in structure-based virtual screening methods
for identifying potential drug targets. To facilitate efficient molecular docking, an accurate …

… In this context, eXplainable AI (XAI) algorithms have received growing interest thanks to
their ability to extract useful insights also from complex models. Nonetheless XAI techniques …

… SHAP is a powerful XAI technique used in this research work to interpret the used predictive
machine learning model. The SHAP method utilizes coalitional game theory to calculate …

… XAI is crucial for promoting their application in real-world scenarios [5]. The evaluation process
of XAI … Aspects such as the multidisciplinarity of XAI and the absence of a gold standard …

… strategies to explain their own situation, taking advantage of XAI … for current and future users
and for the XAI community. … to know when applying an XAI strategy; (2) the XAI strategy (the …

… My dissertation will delve into the subject of explainable AI (XAI), exploring its various aspects
and implications. I will focus on post-hoc local explainability of large AI models to provide …

… review of recent and relevant applications of XAI and DTL in brain tumor classification, as …
, detailing the DTL classification models and XAI methods employed. Section 4 will …

… Human-Centered XAI research and discuss how XAI design could … We discuss four potential
challenges in the transition of XAI … -Centered XAI and facilitates the discussion on group-XAI …