المؤلفون: Giulia Vilone, Luca Longo

المصدر: Frontiers in Artificial Intelligence, Vol 4 (2021)

مصطلحات موضوعية: explainable artificial intelligence, rule extraction, method comparison and evaluation, metrics of explainability, method automatic ranking, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2021.717899/full; https://doaj.org/toc/2624-8212

URL الوصول: https://doaj.org/article/f47387dd7d4141c18bedd841a60d648f

المؤلفون: Luca Longo, Giulia Vilone

المصدر: Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence, Vol 4 (2021)
Articles

مصطلحات موضوعية: Artificial Intelligence and Robotics, Post hoc, explainable artificial intelligence, rule extraction, Computer science, business.industry, Comparative method, Process (engineering), Rule-based system, QA75.5-76.95, Machine learning, computer.software_genre, metrics of explainability, Friedman test, Artificial Intelligence, Electronic computers. Computer science, method comparison and evaluation, method automatic ranking, Artificial intelligence, Set (psychology), business, Rule of inference, computer, Strengths and weaknesses, Original Research

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e92a0c12763a16b70dc74eaa3282bc4
http://europepmc.org/articles/PMC8596373

المؤلفون: Giulia Vilone (4605307), Luca Longo (474781)

مصطلحات موضوعية: Artificial Intelligence and Image Processing, Knowledge Representation and Machine Learning, Applied Statistics, Computational Linguistics, explainable artificial intelligence, rule extraction, method comparison and evaluation, metrics of explainability, method automatic ranking

Relation: https://figshare.com/articles/dataset/DataSheet1_A_Quantitative_Evaluation_of_Global_Rule-Based_Explanations_of_Post-Hoc_Model_Agnostic_Methods_pdf/16923142

الاتاحة: https://doi.org/10.3389/frai.2021.717899.s001