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
}