Per Year

@article{hypercubeske-ia17,
   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
}