Tommaso Barbariol

According to our database, Tommaso Barbariol authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback.

Elisa Marcelli, Tommaso Barbariol, Davide Sartor, Gian Antonio Susto

Inf. Sci., 2024

Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection.

Davide Sartor, Tommaso Barbariol, Gian Antonio Susto

Eng. Appl. Artif. Intell., 2024

Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters.

Tommaso Barbariol, Davide Masiero, Mattia Fanan, Enrico Feltresi, Gian Antonio Susto

Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

2023

Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters.

Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto

CoRR, 2023

2022

TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios.

Tommaso Barbariol, Gian Antonio Susto

Inf. Sci., 2022

Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems.

Elisa Marcelli, Tommaso Barbariol, Gian Antonio Susto

CoRR, 2022

A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points.

Elisa Marcelli, Tommaso Barbariol, Vincenzo Savarino, Alessandro Beghi, Gian Antonio Susto

Proceedings of the 23rd IEEE Latin American Test Symposium, 2022

2021

Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications.

Luca Frau, Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi

Informatics, 2021