Antonio Pellicani

Orcid: 0000-0002-4193-3486

According to our database1, Antonio Pellicani authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks.
CoRR, March, 2025

IMMENSE: Inductive Multi-perspective User Classification in Social Networks.
Online Soc. Networks Media, 2025

Positional trace encoding for next activity prediction in event logs.
Knowl. Based Syst., 2025

CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends.
Expert Syst. Appl., 2025

Integrating Semantic, Social, and Spatial Dimensions for Inductive Malicious User Detection in Social Networks.
Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

Conversational Knowledge Extraction from Technical Manuals: An LLM-Based Framework with Ontological Guidance.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

A secure AI-enabled platform to support the automated Alzheimer's disease diagnosis.
Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Streamlining Serial Communication Protocol Development on SoC Platforms for Code Reusability.
Proceedings of the 5th IEEE International Conference on Human-Machine Systems, 2025

Robust Human Activity Prediction Through Multi-View Sensor Data Integration.
Proceedings of the 5th IEEE International Conference on Human-Machine Systems, 2025

2024
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024

2023
HURI: Hybrid user risk identification in social networks.
World Wide Web (WWW), September, 2023

SAIRUS: Spatially-aware identification of risky users in social networks.
Inf. Fusion, April, 2023

A Multi-Perspective Approach for Risky User Identification in Social Networks.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Real-Time Anomaly Prediction from Cryptocurrency Time Series.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2020
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs.
Proceedings of the ECML PKDD 2020 Workshops, 2020


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