Quantifying Explainability: Metrics and Methodologies for Dense Neural Network Interpretability
Year: 2025
Type: conference-paper
Authors: Calvin Raab, Terry Slenn
Institution: Booz Allen Hamilton (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: Booz Allen Hamilton
OpenAlex ID: W4412082117
