Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. - Michelangelo Ceci; Angelo Impedovo; Antonio Pellicani (PKDD/ECML Workshops, 2020)

Real-Time Anomaly Prediction from Cryptocurrency Time Series. - Antonio Pellicani; Gianvito Pio; Sao Deroski; Michelangelo Ceci (PKDD/ECML Workshops (3), 2023)

A Multi-Perspective Approach for Risky User Identification in Social Networks. - Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (SEBD, 2023)

SAIRUS: Spatially-aware identification of risky users in social networks. - Antonio Pellicani; Gianvito Pio; Domenico Redavid; Michelangelo Ceci (Inf. Fusion, 2023)

HURI: Hybrid user risk identification in social networks. - Roberto Corizzo; Gianvito Pio; Emanuele Pio Barracchia; Antonio Pellicani; Nathalie Japkowicz; Michelangelo Ceci (World Wide Web (WWW), 2023)

Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. - Daniele Rosa; Antonio Pellicani; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (ISMIS, 2024)

CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends. - Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (Expert Syst. Appl., 2025)

Positional trace encoding for next activity prediction in event logs. - Antonio Pellicani; Michelangelo Ceci (Knowl. Based Syst., 2025)

Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks. - Francesco Benedetti; Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (CoRR, 2025)