Results 1 to 10 of about 26 (22)
EVALUATION OF LATTICE BASED XAI [PDF]
ICTACT Journal on Soft Computing, 2023 With multiple methods to extract explanations from a black box model, it becomes significant to evaluate the correctness of these Explainable AI (XAI) techniques themselves.
Bhaskaran Venkatsubramaniam +1 more
doaj +4 more sources
XAI USING FORMAL CONCEPT LATTICE FOR IMAGE DATA [PDF]
ICTACT Journal on Image and Video Processing, 2023 A Formal concept lattice can be used to generate explanations from a black box model. This novel approach has been applied and proven for tabular data. It has also been compared to popular techniques in XAI.
Bhaskaran Venkatsubramaniam +1 more
doaj +2 more sources
COMPARATIVE STUDY OF XAI USING FORMAL CONCEPT LATTICE AND LIME
ICTACT Journal on Soft Computing, 2022 Local Interpretable Model Agnostic Explanation (LIME) is a technique to explain a black box machine learning model using a surrogate model approach.
Bhaskaran Venkatsubramaniam +1 more
doaj +2 more sources
Some of the next articles are maybe not open access.
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Knowledge-Based Systems, 2023Waddah Saeed, Christian Omlin
exaly
Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI)
Sensors, 2021Pradhan B, Abolfazl Abdollahi
exaly
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
AI, 2023Tim Hulsen, Hulsen Tim
exaly
Explainable Artificial Intelligence (XAI) in auditing
International Journal of Accounting Information Systems, 2022exaly