Per Year

@inproceedings{masconcurrency-aamas2024,
   acm = {3663089},
   author = {Baiardi, Martina and Burattini, Samuele and Ciatto, Giovanni and Pianini, Danilo and Ricci, Alessandro and Omicini, Andrea},
   booktitle = {AAMAS'24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems},
   dblp = {conf/atal/BaiardiBCPOR24},
   iris = {11585/973178},
   isbn = {979-8-4007-0486-4},
   keywords = {Agent-Oriented Programming; Concurrency; BDI Agents; Threads},
   month = may,
   note = {Extended abstract},
   numpages = 3,
   pages = {2147--2149},
   publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
   scholar = {4738339792803409504},
   scopus = {2-s2.0-85196388369},
   title = {Concurrency Model of {BDI} Programming Frameworks: Why Should We Control It?},
   url = {https://dl.acm.org/doi/10.5555/3635637.3663089},
   urlopenaccess = {https://arxiv.org/abs/2404.10421},
   urlpdf = {https://dl.acm.org/doi/pdf/10.5555/3635637.3663089},
   year = 2024
}

@inproceedings{llmbasedhealthcarechatbots-telmed2024,
 author={Montagna, Sara and Aguzzi, Gianluca and Ferretti, Stefano and Pengo, Martino Francesco and Klopfenstein, Lorenz Cuno and Ungolo, Michelangelo and Magnini, Matteo},
 booktitle={2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
keywords = {large language model, medical chatbot, chronic disease management},
 title={LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis},
 year={2024},
 volume={},
 number={},
 pages={346-351},
 keywords={Pervasive computing;Privacy;Filtering;Conferences;Computational modeling;Medical services;Chatbots;Large Language Model;Medical Chatbot;Chronic Disease Management},
 doi={10.1109/PerComWorkshops59983.2024.10503257}}

@inproceedings{skemetrics-aaai2023,
   address = {San Francisco, California},
   author = {Sabbatini, Federico and Calegari, Roberta},
   booktitle = {AAAI 2023 Spring Symposium Series},
   keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Readability metrics; AutoML},
   month = mar,
   title = {On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes},
   year = 2023
}

@article{skeislr-acmcs,
   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{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},
   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},
   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
}

@inproceedings{skidatadegradation-woa2024,
   author = {Rafanelli, Andrea and Magnini, Matteo and Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
   booktitle = {WOA 2024 -- 25th Workshop ``From Objects to Agents 2024''},
   dblp = {conf/woa/RafanelliMACO24},
   editor = {Alderighi, Marco and Baldoni, Matteo and Baroglio, Cristina and Micalizio, Roberto and Tedeschi, Stefano},
   iris = {11585/975934},
   issn = {1613-0073},
   keywords = {Symbolic Knowledge Injection, Robustness, Neural Networks},
   location = {Bard, AO, Italy},
   month = jul,
   numpages = 13,
   pages = {20--32},
   publisher = {Sun SITE Central Europe, RWTH Aachen University},
   scopus = {2-s2.0-85200118300},
   series = {CEUR Workshop Proceedings},
   subseries = {AIxIA Series},
   title = {An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation},
   url = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
   urlopenaccess = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
   urlpdf = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
   volume = 3735,
   year = 2024
}

@inproceedings{samis-kdd2024,
   acm = {3671985},
   author = {Agiollo, Andrea and Young In Kim and Khanna, Rajiv},
   dblp = {conf/kdd/AgiolloKK24},
   doi = {10.1145/3637528.3671985},
   journal = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25–29, 2024, Barcelona, Spain},
   keywords = {Neural Networks, Data-efficient Learning, Memorization, Flatness},
   month = aug,
   numpages = 12,
   pages = {17--28},
   publisher = {ACM},
   scholar = {8151925308990231563},
   title = {Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization},
   url = {https://dl.acm.org/doi/10.1145/3637528.3671985},
   urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3637528.3671985},
   urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3637528.3671985},
   year = 2024
}