Physical Sciences → Computer Science → Artificial Intelligence
Explainable Artificial Intelligence (XAI)
This cluster of papers focuses on Explainable Artificial Intelligence (XAI) and the development of interpretable models, visual explanations, and responsible machine learning interpretability. It explores concepts, challenges, and opportunities in XAI, including the use of gradient-based localization, understanding deep neural networks, feature importance, and addressing black box models. The papers also discuss the responsibility and ethical considerations in AI.
53.2K works worldwide448.7K citations
Interpretable ModelsMachine Learning InterpretabilityVisual ExplanationsXAI ConceptsModel InterpretabilityGradient-Based LocalizationDeep Neural NetworksFeature ImportanceBlack Box ModelsResponsibility in AI
Journals publishing in this area
2

International Journal of Computing and Artificial Intelligence
ISSN 2707-65719 articles in this topic
6h-index
0.18Impact
307Articles
210Citations
3

International Journal of Cloud Computing and Database Management
ISSN 2707-59074 articles in this topic
3h-index
0.23Impact
147Articles
49Citations
