A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring. - Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena (ICPM Workshops, 2020)

How to Cope with Personnel Unavailability? Process Mining May Help! - Andrea Chiorrini; Claudia Diamantini; Domenico Potena; Emanuele Storti (SEBD, 2020)

A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining. - Laura Genga; Domenico Potena; Andrea Chiorrini; Claudia Diamantini; Nicola Zannone (Complex Pattern Mining, 2020)

Emotion and sentiment analysis of tweets using BERT. - Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena (EDBT/ICDT Workshops, 2021)

Exploiting Instance Graphs and Graph Neural Networks for Next Activity Prediction. - Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena (ICPM Workshops, 2021)

Embedding Process Structure in Activities for Process Mapping and Comparison. - Andrea Chiorrini; Claudia Diamantini; Laura Genga; Martina Pioli; Domenico Potena (ADBIS (Short Papers), 2022)

Metrics of Parallel Complexity of Operational Business Processes. - Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena (ICEIS (2), 2022)

Towards next-location prediction for process executions. - Andrea Chiorrini; Claudia Diamantini; Laura Genga; Martina Pioli; Domenico Potena (ICPM, 2022)

EmotionAlBERTo: Emotion Recognition of Italian Social Media Texts Through BERT. - Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena; Emanuele Storti (ICPR, 2022)

An emotion-aware search engine for multimedia content based on deep learning algorithms. - Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena; Emanuele Storti (Int. J. Comput. Appl. Technol., 2023)

Multi-perspective enriched instance graphs for next activity prediction through graph neural network. - Andrea Chiorrini; Claudia Diamantini; Laura Genga; Domenico Potena (J. Intell. Inf. Syst., 2023)