Antonio Pellicani is a Research Assistant at the Dept. of Computer Science, University of Bari (Italy). He has published research papers in journals with high impact factor, including Information Fusion, Expert Systems with Applications and Knowledge-Based Systems. He has participated in the program committees of different international conferences, including ECAI, ECML-PKDD, ICDM and DS. He has also served as a reviewer for a wide range of international conferences and journals. His interests include bioinformatics, anomaly detection, time series analysis and social network analysis.

Research Interests

Data Mining and Knowledge Discovery, Bioinformatics, Social Network Analysis, Anomaly detection, Time Series Analysis, Process Mining

Antonio Pellicani
PhD, Research Fellow
Phone: +39 080 5442203
em@il: antonio.pellicani @ uniba.it
webpage: https://antoniopellicani.di.uniba.it/





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2025
Niccolò Petti, Antonio Pellicani, Fabio Frustaci, Francesco Porreca, Gianvito Pio:
Robust Human Activity Prediction Through Multi-View Sensor Data Integration. ICHMS: 241-246 (2025)
DOI: https://doi.org/10.1109/ICHMS65439.2025.11154273
Francesco Porreca, Raffaele Gravina, Antonio Pellicani, Niccolò Petti, Fabio Frustaci:
Streamlining Serial Communication Protocol Development on SoC Platforms for Code Reusability. ICHMS: 350-355 (2025)
DOI: https://doi.org/10.1109/ICHMS65439.2025.11154180
Antonio Pellicani, Michelangelo Ceci:
Positional trace encoding for next activity prediction in event logs. Knowl. Based Syst. 319: 113544 (2025)
DOI: https://doi.org/10.1016/j.knosys.2025.113544
Francesco Benedetti, Antonio Pellicani, Gianvito Pio, Michelangelo Ceci:
Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks. CoRR (2025)
DOI: https://doi.org/10.48550/arXiv.2503.19831
Antonio Pellicani, Gianvito Pio, Michelangelo Ceci:
CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends. Expert Syst. Appl. 260: 125457 (2025)
DOI: https://doi.org/10.1016/j.eswa.2024.125457


2024
Maurizio Atzori, Paolo Ciaccia, Michelangelo Ceci, Federica Mandreoli, Donato Malerba, Manuela Sanguinetti, Antonio Pellicani, Federico Motta:
Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024. SEBD CEUR Workshop Proceedings 3741, CEUR-WS.org (2024)
DOI: https://ceur-ws.org/Vol-3741
Daniele Rosa, Antonio Pellicani, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. ISMIS: 77-86 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_8


2023
Antonio Pellicani, Gianvito Pio, Sao Deroski, Michelangelo Ceci:
Real-Time Anomaly Prediction from Cryptocurrency Time Series. PKDD/ECML Workshops (3): 553-561 (2023)
DOI: https://doi.org/10.1007/978-3-031-74633-8_42
Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci:
HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) 26(5): 3409-3439 (2023)
DOI: https://doi.org/10.1007/s11280-023-01192-w
Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci:
SAIRUS: Spatially-aware identification of risky users in social networks. Inf. Fusion 92: 435-449 (2023)
DOI: https://doi.org/10.1016/j.inffus.2022.11.029
Antonio Pellicani, Gianvito Pio, Michelangelo Ceci:
A Multi-Perspective Approach for Risky User Identification in Social Networks. SEBD: 665-673 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper32.pdf


2020
Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani:
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops: 237-248 (2020)
DOI: https://doi.org/10.1007/978-3-030-65965-3_15