• Barbara Pernici, Cinzia Cappiello, Edoardo Ramalli, Matteo Palmonari, Federico Belotti, Flavio De Paoli, Angelo Mozzillo, Luca Zecchini, Giovanni Simonini, Sonia Bergamaschi, Tiziana Catarci, Matteo Filosa, Marco Angelini, Dario Benvenuti (2024). The Future of Sustainable Data Preparation. SEBD 2024: 486-497  https://ceur-ws.org/Vol-3741/paper27.pdf
    • Mozzillo, A., Zecchini, L., Gagliardelli, L., Aslam, A., Bergamaschi, S., Simonini, G. (2025). Evaluation of Dataframe Libraries for Data Preparation on a Single Machine. EDBT 2025 https://arxiv.org/abs/2312.11122
    • C. Bono, B. Pernici, Quality-informed Active Learning on Social Media in Crisis Scenarios, HHAI 2025: The 4th International Conference Series on Hybrid Human-Artificial Intelligence, June 9-13, 2025 (Pisa, Italy)
    • Amir Hossein Mohsen Nezhad Baravati, Martina Viganò, Carlo Alberto Bono, Barbara Pernici, Enhancing User Experience with Topic-Based Message Retrieval in Telegram, The 40th ACM/SIGAPP Symposium On Applied Computing, Catania, April 2025
    • Aslam A, Simonini G, Gagliardelli L, Zecchini L, Bergamaschi S. (2024). Stream-aware indexing for distributed inequality join processing. Information Systems. 2024 Nov 1;125:102425. https://doi.org/10.1016/j.is.2024.102425
    • Filosa, M., Plexousaki, A., Benvenuti, D., Catarci, T., Angelini, M. (2024). InterView: A System to Support Interaction-Driven Visualization Systems Design. In: Lárusdóttir, M.K., Naqvi, B., Bernhaupt, R., Ardito, C., Sauer, S. (eds) Human-Centered Software Engineering. HCSE 2024. Lecture Notes in Computer Science, vol 14793. Springer, Cham. https://dl.acm.org/doi/10.1007/978-3-031-64576-1_23
    • Zecchini, L., Bleifuß, T., Simonini, G., Bergamaschi, S., & Naumann, F. (2024). Determining the Largest Overlap between Tables. Proceedings of the ACM on Management of Data, 2(1), 1-26. https://dl.acm.org/doi/10.1145/3639303
    • Zecchini, L., Bleifuß, T., Simonini, G., Bergamaschi, S., & Naumann, F. (2024). Overlap-Based Duplicate Table Detection. In CEUR Workshop Proceedings (Vol. 3741, pp. 643-652). https://ceur-ws.org/Vol-3741/paper24.pdf
    • Mattia Salnitri, Edoardo Ramalli, Barbara Pernici, Towards a policy tuning method for data ecosystems, IEEE Symposium on Services for Data & Model Ecosystems (SDMEs), Shenzhen, China, July 2024 (invited paper) https://ieeexplore.ieee.org/document/10707453
    • Giaccaglia, P., Bono, C. A.,  Pernici, B. (2024). Enhancing Emergency Post Classification through Image Information Amplification via Large Language Models. ISCRAM Proceedings, 21. https://ojs.iscram.org/index.php/Proceedings/article/view/38
    • Marco Comuzzi, Sungkyu Kim, Jonghyeon Ko, Musa Salamov, Cinzia Cappiello,  Barbara Pernici, On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring,  ICPM Workshop on ML4PM – Leveraging Machine learning in Process Mining, Oct. 2024 https://re.public.polimi.it/retrieve/3795fb05-25ca-45d5-b1ae-e49dd83c65b1/ICPM_2024_paper_175_submitted.pdf