Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications. - Luca Frau; Gian Antonio Susto; Tommaso Barbariol; Enrico Feltresi (Informatics, 2021)

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 (LATS, 2022)

Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. - Elisa Marcelli; Tommaso Barbariol; Gian Antonio Susto (CoRR, 2022)

TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios. - Tommaso Barbariol; Gian Antonio Susto (Inf. Sci., 2022)

Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. - Tommaso Barbariol; Davide Masiero; Enrico Feltresi; Gian Antonio Susto (CoRR, 2023)

Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters. - Tommaso Barbariol; Davide Masiero; Mattia Fanan; Enrico Feltresi; Gian Antonio Susto (RTSI, 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)

Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback. - Elisa Marcelli; Tommaso Barbariol; Davide Sartor; Gian Antonio Susto (Inf. Sci., 2024)