no code implementations • 5 Feb 2024 • Mohammad N. S. Jahromi, Satya. M. Muddamsetty, Asta Sofie Stage Jarlner, Anna Murphy Høgenhaug, Thomas Gammeltoft-Hansen, Thomas B. Moeslund
Explainable AI (XAI) aids in deciphering 'black-box' models.
no code implementations • 10 Jul 2022 • Seyed Mojtaba Marvasti-Zadeh, Mohammad N. S. Jahromi, Javad Khaghani, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
In nature, the collective behavior of animals, such as flying birds is dominated by the interactions between individuals of the same species.
1 code implementation • 26 Jan 2021 • Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund
Explainable Artificial Intelligence (XAI) has in recent years become a well-suited framework to generate human understandable explanations of "black-box" models.
2 code implementations • 4 Jun 2020 • 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.