Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments
author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
dblp = {journals/ia/SabbatiniCCO22},
doi = {10.3233/IA-210120},
editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
eissn = {2211-0097},
iris = {11585/890822},
issn = {1724-8035},
journal = {Intelligenza Artificiale},
keywords = {Explainable AI, knowledge extraction, interpretable prediction, PSyKE},
month = jul,
number = 1,
numpages = 22,
pages = {27--48},
publisher = {IOS Press},
scholar = {7559675640918015038},
scopus = {2-s2.0-85134193338},
semanticscholar = {250400188},
title = {Symbolic knowledge extraction from opaque {ML} predictors in {PSyKE}: Platform design \& experiments},
url = {https://content.iospress.com/articles/intelligenza-artificiale/ia220141},
volume = 16,
wos = {WOS:000825367300003},
year = 2022
}