BARBARIOL, TOMMASO

BARBARIOL, TOMMASO  

Università di Padova  

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Risultati 1 - 15 di 15 (tempo di esecuzione: 0.036 secondi).
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A Machine Learning-Based System for Self-Diagnosis Multiphase Flow Meters 2020 Barbariol, TommasoFeltresi, EnricoSusto, Gian Antonio - - International Petroleum Technology Conference
A Review of Tree-Based Approaches for Anomaly Detection 2021 Barbariol T.Marcato D.Susto G. A. + - SPRINGER SERIES IN RELIABILITY ENGINEERING Springer Series in Reliability Engineering
A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points 2022 Marcelli, ElisaBarbariol, TommasoBeghi, AlessandroSusto, Gian Antonio + - - Proceedings of the 2022 IEEE 23rd Latin American Test Symposium (LATS)
Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback 2024 Marcelli E.Barbariol T.Sartor D.Susto G. A. INFORMATION SCIENCES - -
Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection 2024 Sartor, DavideBarbariol, TommasoSusto, Gian Antonio ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE - -
Classifying Circumnutation in Pea Plants via Supervised Machine Learning 2023 Qiuran WangTommaso BarbariolGian Antonio SustoBianca BonatoSilvia GuerraUmberto Castiello - - Classifying Circumnutation in Pea Plants via Supervised Machine Learning
Classifying Circumnutation in Pea Plants via Supervised Machine Learning 2023 Wang, QiuranBarbariol, TommasoSusto, Gian AntonioBonato, BiancaGuerra, SilviaCastiello, Umberto PLANTS - -
Improving Anomaly Detection for Industrial Applications 2023 BARBARIOL, TOMMASO - - -
Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters 2019 Barbariol T.Feltresi E.Susto G. A. - IFAC-PAPERSONLINE IFAC-PapersOnLine
Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection 2020 Tommaso BarbariolEnrico FeltresiGian Antonio Susto ENERGIES - -
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. - - Proceedings - SPE Annual Technical Conference and Exhibition
Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters 2024 T. BarbariolM. FananG. A. SustoE. Feltresi + - - Proceedings of the 8th IEEE International Forum on Research and Technology for Society and Industry (RTSI 2024)
TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios 2022 Barbariol T.Susto G. A. INFORMATION SCIENCES - -
Uncertainty estimation for machine learning models in multiphase flow applications 2021 Frau L.Susto G. A.Barbariol T.Feltresi E. INFORMATICS - -
Validity and consistency of MPFM data through a Machine Learning based system 2019 Tommaso BarbariolEnrico FeltresiGian Antonio Susto - - Proceedings of the 2019 North Sea Flow Measurement Workshop