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Recent publications
- Marco Comuzzi, Sungkyu Kim, Jonghyeon Ko, Musa Salamov, Cinzia Cappiello, Barbara Pernici, On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring, accepted for presentation at ICPM Workshop on ML4PM – Leveraging Machine learning in Process Mining, Oct. 2024
- Devis Bianchini, Carlo Bono, Alessandro Campi, Cinzia Cappiello, Stefano Ceri, Francesca De Luzi, Massimo Mecella, Barbara Pernici, Pierluigi Plebani, Challenges in AI-supported process analysis in the Italian judicial system: what after digitalization? Digital Government: Research and Practice, Vol. 5, No. 1, ACM, 2024
- Barbara Pernici, Carlo Bono, Ludovica Piro, Mattia Del Treste, Giancarlo Vecchi, Improving the analysis of the judiciary performance. The use of data mining techniques to assess the timeliness of civil trials, International Journal of Public Sector Management, Nov. 2023
- Carlo A. Bono, Cinzia Cappiello, Barbara Pernici, Edoardo Ramalli, Monica Vitali, Pipeline Design for Data Preparation for Social Media Analysis, ACM Journal of Data and Information Quality, 2023 link
- E. Ramalli, B. Pernici, Knowledge Graph Embedding for Experimental Uncertainty Estimation, Information Discovery and Delivery, Vol. 51 No. 4, pp. 371-383, Nov. 2023 link
- E. Ramalli, T. Dinelli, A. Nobili, A. Stagni, B. Pernici, T. Faravelli, Automatic validation and analysis of predictive models by means of big data and data science, Chemical Engineering Journal, Vol. 454, part 3, Feb. 2023 link
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