Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques

@inproceedings{completeness-ximl2023,
   author = {Sabbatini, Federico and Calegari, Roberta},
   booktitle = {Artificial Intelligence. {ECAI} 2023 International Workshops -- {XAI}{\({^3}\)}, {TACTIFUL}, {XI-ML}, {SEDAMI}, {RAAIT}, {AI4S}, {HYDRA}, {AI4AI}, Krak{\'{o}}w, Poland, September 30 -- October 4, 2023, Proceedings, Part {I}},
   doi = {10.1007/978-3-031-50396-2_10},
   editor = {Nowaczyk, Slawomir and Biecek, Przemyslaw and Chung, Neo Christopher and Vallati, Mauro and Skruch, Pawel and Jaworek{-}Korjakowska, Joanna and Parkinson, Simon and Nikitas, Alexandros and Atzmüller, Martin and Kliegr, Tomás and others},
   iris = {11585/962344},
   keywords = {Symbolic knowledge extraction, Explainable artificial intelligence, PSyKE},
   pages = {179--197},
   publisher = {Springer},
   scopus = {2-s2.0-85184090360},
   series = {Communications in Computer and Information Science},
   title = {Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques},
   url = {https://link.springer.com/10.1007/978-3-031-50396-2_10},
   urlopenaccess = {https://link.springer.com/10.1007/978-3-031-50396-2_10},
   volume = 1947,
   year = 2023
}