Per anno

@article{skeislr-csur56,
   acm = {3645103},
   articleno = 161,
   author = {Ciatto, Giovanni and Sabbatini, Federico and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
   dblp = {journals/csur/CiattoSAMO24},
   doi = {10.1145/3645103},
   eissn = {1557-734},
   iris = {11585/969235},
   issn = {0360-0300},
   journal = {ACM Computing Surveys},
   keywords = {Logic; Machine learning theory; Hybrid symbolic-numeric methods; Knowledge representation and reasoning},
   month = jun,
   number = 6,
   numpages = 35,
   pages = {161:1--161:35},
   publisher = {ACM},
   scholar = {13701373869146776438},
   scopus = {2-s2.0-85188835517},
   semanticscholar = {267611660},
   title = {Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review},
   url = {https://dl.acm.org/doi/10.1145/3645103},
   urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3645103},
   urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3645103},
   volume = 56,
   wos = {WOS:001208566200027},
   year = 2024
}

@article{skerecommender-cmbp235,
   acm = {10.1016/j.cmpb.2023.107536},
   articleno = 107536,
   author = {Magnini, Matteo and Ciatto, Giovanni and Cantürk, Furkan and Aydoǧan, Reyhan and Omicini, Andrea},
   dblp = {journals/cmpb/MagniniCCAO23},
   doi = {10.1016/j.cmpb.2023.107536},
   iris = {11585/923772},
   issn = {0169-2607},
   journal = {Computer Methods and Programs in Biomedicine},
   keywords = {explainable artificial intelligence, symbolic knowledge extraction, recommendation systems, nutrition, neural networks},
   month = jun,
   numpages = 32,
   pubmed = {37060685},
   scholar = {14455392383017605572},
   scopus = {2-s2.0-85152230884},
   semanticscholar = {261426939},
   title = {Symbolic Knowledge Extraction for Explainable Nutritional Recommenders},
   url = {https://www.sciencedirect.com/science/article/pii/S0169260723002018},
   volume = 235,
   wos = {000983750400001},
   year = 2023
}