Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model

@incollection{hypercube-woa2022,
   author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
   booktitle = {WOA 2022 -- 23rd Workshop ``From Objects to Agents''},
   dblp = {conf/woa/SabbatiniCCO22},
   editor = {Ferrando, Angelo and Mascardi, Viviana},
   iris = {11585/899358},
   issn = {1613-0073},
   keywords = {Explainable AI; Knowledge extraction; Interpretable prediction; PSyKE},
   month = nov,
   numpages = 13,
   pages = {48--60},
   publisher = {Sun SITE Central Europe, RWTH Aachen University},
   scholar = {8614662013642803891},
   scopus = {2-s2.0-85142519111},
   semanticscholar = {253270041},
   series = {CEUR Workshop Proceedings},
   subseries = {AIxIA Series},
   title = {Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model},
   url = {http://ceur-ws.org/Vol-3261/paper4.pdf},
   urlopenaccess = {http://ceur-ws.org/Vol-3261/paper4.pdf},
   urlpdf = {http://ceur-ws.org/Vol-3261/paper4.pdf},
   volume = 3261,
   year = 2022
}