publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Knowl.-Based Syst.
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    Positional trace encoding for next activity prediction in event logs
    Antonio Pellicani, and Michelangelo Ceci
    Knowledge-Based Systems, 2025
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  2. Expert Syst. Appl.
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    CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends
    Antonio Pellicani, Gianvito Pio, and Michelangelo Ceci
    Expert Systems with Applications, 2025
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2024

  1. ISMIS
    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, and Michelangelo Ceci
    In International Symposium on Methodologies for Intelligent Systems, 2024
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  2. ITADATA
    Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks
    Francesco Benedetti, Antonio Pellicani, Gianvito Pio, and Michelangelo Ceci
    In Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA), 2024
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2023

  1. World Wide Web
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    Huri: Hybrid user risk identification in social networks
    Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, and Michelangelo Ceci
    World Wide Web, 2023
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  2. Inf. Fusion
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    SAIRUS: Spatially-aware identification of risky users in social networks
    Antonio Pellicani, Gianvito Pio, Domenico Redavid, and Michelangelo Ceci
    Information Fusion, 2023
    HTML PDF
  3. NFMCP@ECML PKDD
    Real-Time Anomaly Prediction from Cryptocurrency Time Series
    Antonio Pellicani, Gianvito Pio, Sašo Džeroski, and Michelangelo Ceci
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023
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  4. SEBD
    A Multi-Perspective Approach for Risky User Identification in Social Networks.
    Antonio Pellicani, Gianvito Pio, and Michelangelo Ceci
    In Proceedings of the 31st Symposium of Advanced Database Systems (SEBD), 2023
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2020

  1. NFMCP@ECML PKDD
    Leveraging multi-target regression for predicting the next parallel activities in event logs
    Michelangelo Ceci, Angelo Impedovo, and Antonio Pellicani
    In Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, 2020
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