Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments

@article{psyke-ia16,
   apice = {PsykeIa16},
   author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
   dblp = {journals/ia/SabbatiniCCO22},
   doi = {10.3233/IA-210120},
   editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
   eissn = {2211-0097},
   iris = {11585/890822},
   issn = {1724-8035},
   journal = {Intelligenza Artificiale},
   keywords = {Explainable AI, knowledge extraction, interpretable prediction, PSyKE},
   lens = {106-894-542-499-045},
   month = jul,
   number = 1,
   numpages = 22,
   openalex = {W4284967716},
   pages = {27--48},
   publisher = {IOS Press},
   scholar = {7559675640918015038},
   scopus = {2-s2.0-85134193338},
   semanticscholar = {250400188},
   title = {Symbolic knowledge extraction from opaque {ML} predictors in {PSyKE}: Platform design \& experiments},
   url = {https://content.iospress.com/articles/intelligenza-artificiale/ia220141},
   volume = 16,
   wos = {WOS:000825367300003},
   year = 2022
}