Per Year
@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,
wos = {WOS:001208566200027},
year = 2024
}
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,
wos = {WOS:001208566200027},
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
}
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
}