Per Year

 @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{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
}