Antonio Pellicani is a PhD Student at the Department of Computer Science, University of Bari "Aldo Moro". He graduated with honors in Computer Science (Knowledge Engineering and Machine Intelligence) from the University of Bari "Aldo Moro" in 2020, discussing a thesis on "Study and development of distributed predictive algorithms for parallel activity mining". His research activity mainly concerns anomaly detection on time series data and time series forecasting.

Research Interests

Anomaly detection, Time Series Analysis, Process Mining, Machine Learning, Deep Learning, Neural Network

Antonio Pellicani
PhD Student
Phone: +39 080 5442203
em@il: antonio.pellicani @ uniba.it
webpage: http://www.di.uniba.it/~pellicani/



Publications Legend

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Book
Conference or Workshop
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Publications


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
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