Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods
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author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
dblp = {journals/ia/SabbatiniCCO23},
doi = {10.3233/IA-230001},
editor = {Ferrando, Angelo and Mascardi, Viviana},
iris = {11585/941033},
journal = {Intelligenza Artificiale},
keywords = {explainable AI, knowledge extraction, interpretable prediction, PSyKE},
month = jun,
note = {Special issue: Selected papers from the 23rd Workshop ``From Objects to Agents'' (WOA 2022)},
number = 1,
numpages = 13,
pages = {63--75},
publisher = {IOS Press},
scholar = {14669296704428238758},
scopus = {2-s2.0-85168332389},
semanticscholar = {259324728},
title = {Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods},
url = {https://content.iospress.com/articles/intelligenza-artificiale/ia230001},
urlopenaccess = {https://cris.unibo.it/retrieve/3a2a510e-9dc5-4b07-b3f7-398cf2f21419/ia-2023-psyke.pdf},
volume = 17,
year = 2023
}