3 papers
SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach
Mohammad N. S. Jahromi, Satya. M. Muddamsetty, Asta Sofie Stage Jarlner +3
Explainable AI (XAI) aids in deciphering 'black-box' models. While several methods have been proposed and evaluated primarily in the image domain, the exploration of explainability…
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos +2
Explainable Artificial Intelligence (XAI) has in recent years become a well-suited framework to generate human understandable explanations of "black-box" models. In this paper, a n…
SIDU: Similarity Difference and Uniqueness Method for Explainable AI
Satya M. Muddamsetty, Mohammad N. S. Jahromi, Thomas B. Moeslund
A new brand of technical artificial intelligence ( Explainable AI ) research has focused on trying to open up the 'black box' and provide some explainability. This paper presents a…