BARBARIOL, TOMMASO
BARBARIOL, TOMMASO
Università di Padova
Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback
2024 Marcelli, E.; Barbariol, T.; Sartor, D.; Susto, G. A.
Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection
2024 Sartor, Davide; Barbariol, Tommaso; Susto, Gian Antonio
Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters
2024 Barbariol, T.; Masiero, D.; Fanan, M.; Susto, G. A.; Feltresi, E.
Classifying Circumnutation in Pea Plants via Supervised Machine Learning
2023 Wang, Qiuran; Barbariol, Tommaso; Susto, Gian Antonio; Bonato, Bianca; Guerra, Silvia; Castiello, Umberto
Classifying Circumnutation in Pea Plants via Supervised Machine Learning
2023 Wang, Qiuran; Barbariol, Tommaso; Susto, GIAN ANTONIO; Bonato, Bianca; Guerra, Silvia; Castiello, Umberto
Improving Anomaly Detection for Industrial Applications
2023 Barbariol, Tommaso
A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points
2022 Marcelli, Elisa; Barbariol, Tommaso; Savarino, Vincenzo; Beghi, Alessandro; Susto, Gian Antonio
TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios
2022 Barbariol, T.; Susto, G. A.
A Review of Tree-Based Approaches for Anomaly Detection
2021 Barbariol, T.; Chiara, F. D.; Marcato, D.; Susto, G. A.
Uncertainty estimation for machine learning models in multiphase flow applications
2021 Frau, L.; Susto, G. A.; Barbariol, T.; Feltresi, E.
A Machine Learning-Based System for Self-Diagnosis Multiphase Flow Meters
2020 Barbariol, Tommaso; Feltresi, Enrico; Susto, Gian Antonio
Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection
2020 Barbariol, Tommaso; Feltresi, Enrico; Susto, GIAN ANTONIO
Sensor fusion and machine learning techniques to improve water cut measurements accuracy in multiphase application
2020 Barbariol, T.; Feltresi, E.; Susto, G. A.; Tescaro, D.; Galvanin, S.
Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters
2019 Barbariol, T.; Feltresi, E.; Susto, G. A.
Validity and consistency of MPFM data through a Machine Learning based system
2019 Barbariol, Tommaso; Feltresi, Enrico; Susto, GIAN ANTONIO