Per anno

@article{skeislr-acmcs,
   acm = {3645103},
   articleno = 161,
   author = {Ciatto, Giovanni and Sabbatini, Federico and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
   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,
   year = 2024
}

@article{eneafl-fgcs154,
   author = {Agiollo, Andrea and Bellavista, Paolo and Mendula, Matteo and Omicini, Andrea},
   doi = {10.1016/j.future.2024.01.007},
   editor = {Hao Wu and Carlo Puliafito and Omer F. Rana and Luiz F. Bittencourt},
   iris = {11585/953081},
   issn = {0167-739X},
   journal = {Future Generation Computer Systems},
   keywords = {Serverless, Federated Learning, Energy Management, Internet of Things, Resource-constrained Learning},
   month = may,
   note = {Special Issue ``Serverless Computing in the Cloud-to-Edge Continuum''},
   numpages = 16,
   pages = {219--234},
   publisher = {Elsevier Science B.V.},
   scholar = {15164122000920541506},
   scopus = {2-s2.0-85182399653},
   title = {{EneA-FL}: Energy-aware Orchestration for Serverless Federated Learning},
   url = {https://www.sciencedirect.com/science/article/pii/S0167739X24000074},
   volume = 154,
   wos = {WOS:001164533000001},
   year = 2024
}