Search Results for author: Satya M. Muddamsetty

Found 2 papers, 2 papers with code

Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method

1 code implementation26 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.

Adversarial Attack Explainable artificial intelligence +1

SIDU: Similarity Difference and Uniqueness Method for Explainable AI

2 code implementations4 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.

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