Antonio Pellicani

Antonio Pellicani
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Antonio verified their affiliation via an institutional email.
University of Bari Aldo Moro | Università di Bari · Department of Computer Science

PhD

About

6
Publications
141
Reads
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16
Citations
Introduction
PhD, PostDoc research fellow @ Università degli Studi di Bari. Talks about #anomalydetection, #timeseriesanalysis, #bigdataanalytics, #artificialintelliegence, and #bioinformatics
Additional affiliations
November 2020 - November 2023
University of Bari Aldo Moro
Position
  • PhD Student
Education
November 2020 - November 2023
Università degli Studi di Bari Aldo Moro
Field of study
  • Computer Science and Mathematics
October 2017 - April 2020
University of Bari Aldo Moro
Field of study
  • Computer Science (Knowledge Engineering and Machine Intelligence)
October 2014 - April 2017
University of Bari Aldo Moro
Field of study
  • Computer Science

Publications

Publications (6)
Article
Full-text available
Cryptocurrencies are virtual currencies that exploit cryptography to perform secure financial transactions. They gained widespread popularity in recent years due to their decentralized nature, (pseudo-)anonymity, and ability to facilitate cross-border transactions without the need for intermediaries. However, their price on the market exhibits a hu...
Article
Full-text available
The massive adoption of social networks increased the need to analyze users’ data and interactions to detect and block the spread of propaganda and harassment behaviors, as well as to prevent actions influencing people towards illegal or immoral activities. In this paper, we propose HURI, a method for social network analysis that accurately classif...
Article
The massive spread of social networks provided a plethora of new possibilities to communicate and interact worldwide. On the other hand, they introduced some negative phenomena related to social media addictions, as well as additional tools for cyberbullying and cyberterrorism activities. Therefore, monitoring operations on the posted contents and...
Chapter
Next activity prediction is one of the most important problems concerning the operational monitoring of processes, that is, supporting the user in predicting the activity that will be executed as the next step during process execution. However, traditional algorithms do not cope with the presence of parallel activities, thus failing to devise accur...

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