@article{skenlp-jaamas38,
articleno = 32,
author = {Agiollo, Andrea and Siebert, Luciano Cavalcante and Murukannaiah, Pradeep Kumar and Omicini, Andrea},
dblp = {journals/aamas/AgiolloSMO24},
doi = {10.1007/s10458-024-09663-8},
iris = {11585/973894},
journal = {Autonomous Agents and Multi-Agent Systems},
keywords = {Natural language processing, post-hoc explanations, symbolic knowledge extraction, eXplainable AI, resource-friendly AI},
month = jul,
note = {Special Issue on Multi-Agent Systems and Explainable AI},
numpages = 33,
pages = {1--33},
publisher = {Springer},
scholar = {13114388339509722903},
scopus = {2-s2.0-85197706028},
semanticscholar = {271083044},
title = {From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers},
url = {http://link.springer.com/10.1007/s10458-024-09663-8},
urlopenaccess = {https://link.springer.com/content/pdf/10.1007/s10458-024-09663-8.pdf},
urlpdf = {https://link.springer.com/content/pdf/10.1007/s10458-024-09663-8.pdf},
volume = 38,
wos = {WOS:001264787900001},
year = 2024
} @article{ndnfl-fgcs2023,
author = {Agiollo, Andrea and Enkeleda Bardhi and Mauro Conti and Nicolò Dal Fabbro and Riccardo Lazzeretti},
doi = {10.1016/j.future.2023.11.009},
issn = {0167-739X},
journal = {Future Generation Computer Systems},
keywords = {Anonymous communication, Federated Learning, Named Data Networking, Privacy-preserving},
pages = {288--303},
publisher = {Elsevier},
note = {Special Issue on Federated Learning on the Edge: Challenges and Future Directions},
title = {Anonymous Federated Learning via Named-Data Networking},
url = {https://www.sciencedirect.com/science/article/pii/S0167739X23004144},
volume = 152,
year = 2024
} @article{eneafl-fgcs154,
author = {Agiollo, Andrea and Bellavista, Paolo and Mendula, Matteo and Omicini, Andrea},
dblp = {journals/fgcs/AgiolloBMO24},
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},
semanticscholar = {268131278},
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
} @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{skiqos-jaamas37,
articleno = 27,
author = {Agiollo, Andrea and Rafanelli, Andrea and Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
dblp = {journals/aamas/AgiolloRMCO23},
doi = {10.1007/s10458-023-09609-6},
iris = {11585/932553},
issn = {1573-7454},
journal = {Autonomous Agents and Multi-Agent Systems},
keywords = {symbolic knowledge injection, quality of service, efficiency, robustness, PSyKI},
month = jun,
number = 2,
numpages = 30,
pages = {27:1-27:30},
scholar = {6493335879803556297},
scopus = {2-s2.0-85162972232},
semanticscholar = {259234850},
title = {Symbolic Knowledge Injection meets Intelligent Agents: {QoS} metrics and experiments},
url = {https://link.springer.com/10.1007/s10458-023-09609-6},
volume = 37,
wos = {WOS:001013184000001},
year = 2023
} @article{nnconstrained-applsci11,
articleno = 11957,
author = {Agiollo, Andrea and Omicini, Andrea},
doi = {10.3390/app112411957},
iris = {11585/842440},
issn = {2076-3417},
journal = {Applied Sciences},
keywords = {Load Classification; Neural Networks; Embedding; Hyper-constrained Devices},
month = dec,
note = {Special Issue ``Artificial Intelligence and Data Engineering in Engineering Applications''},
number = 24,
publisher = {MDPI},
scholar = {14515352047550375229},
scopus = {2-s2.0-85121296114},
title = {Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices},
url = {https://www.mdpi.com/2076-3417/11/24/11957},
url-openaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
urlopenaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
urlpdf = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
volume = 11,
wos = {000735509300001},
year = 2021
} @article{detonar-ieetnsm2021,
author = {Agiollo, Andrea and Conti, Mauro and Kaliyar, Pallavi and Lin, TsungNan and Pajola, Luca},
doi = {10.1109/TNSM.2021.3075496},
ieee = {9415869},
iris = {11585/842654},
issn = {1932-4537},
journal = {IEEE Transactions on Network and Service Management},
keywords = {Internet of Things, Low Power and Lossy Networks, Routing Protocol, Networking attacks, Intrusion Detection System},
number = 2,
numpages = 13,
pages = {1178 - 1190},
publisher = {IEEE},
title = {{DETONAR}: Detection of Routing Attacks in {RPL}-based {I}o{T}},
url = {https://ieeexplore.ieee.org/document/9415869},
urlpdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9415869},
volume = 18,
wos = {000660636700006},
year = 2021
} 
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