PAOLO GARZA

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Associate Professor

Member of Interdepartmental Center (SmartData@PoliTO - Big Data and Data Science Laboratory)
Referente Corsi di Studio (Laurea Magistrale (Master of science-level) in DATA SCIENCE AND ENGINEERING)

+39 0110907022 / 7022 (DAUIN)

Last years publications

Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafò, ... (2022)
Retina: An open-source tool for flexible analysis of RTC traffic. In: COMPUTER NETWORKS, vol. 202. ISSN 1389-1286
Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafò, ... (2021)
Online Classification of RTC Traffic. In: 2021 IEEE 18th Annual Consumer Communications & Networking Conference, Las Vegas, NV, USA, 9-12 Jan. 2021, pp. 1-6. ISBN: 978-1-7281-9794-4 Download fulltext
Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; ... (2021)
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417 Download fulltext
Cipriano, Marco; Colomba, Luca; Garza, Paolo (2021)
A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417 Download fulltext
Corain, Matteo; Garza, Paolo; Asudeh, Abolfazl (2021)
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. In: 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021, pp. 37-48. ISBN: 978-1-7281-9184-3 Download fulltext
Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; ... (2021)
Double-Step deep learning framework to improve wildfire severity classification. In: Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021, Nicosia (Cyprus), March 23-26, 2021. ISBN: 978-3-89318-084-4 Download fulltext
Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafo, Maurizio; ... (2021)
What's my App?: ML-based classification of RTC applications. In: PERFORMANCE EVALUATION REVIEW, vol. 48, pp. 41-44. ISSN 0163-5999 Download fulltext
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