SUSTO, GIAN ANTONIO
SUSTO, GIAN ANTONIO
Dipartimento di Ingegneria dell'Informazione - DEI
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
2025 Ceccon, M.; Dalle Pezze, D.; Fabris, A.; Susto, G. A.
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
2024 Cederle, M.; Fabris, M.; Susto, G. A.
AcME-AD: Accelerated Model Explanations for Anomaly Detection
2024 Zaccaria, V.; Dandolo, D.; Masiero, C.; Susto, G. A.
Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback
2024 Marcelli, E.; Barbariol, T.; Sartor, D.; Susto, G. A.
Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks
2024 Efatinasab, Emad; Sinigaglia, Alberto; Azadi, Nahal; Antonio Susto, Gian; Rampazzo, Mirco
An AI-Enabled Framework for Smart Semiconductor Manufacturing
2024 Alamin, K. S. S.; Appello, D.; Beghi, A.; Dall'Ora, N.; Depaoli, F.; Di Cataldo, S.; Fummi, F.; Gaiardelli, S.; Lora, M.; Macii, E.; Mascolini, A.; Pagano, D.; Ponzio, F.; Susto, G. A.; Vinco, S.
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning
2024 Tremonti, M.; Dalle Pezze, D.; Paissan, F.; Farella, E.; Susto, G. A.
Band Relevance Factor (BRF): A novel automatic frequency band selection method based on vibration analysis for rotating machinery
2024 Brito, L. C.; Susto, G. A.; Brito, J. N.; Duarte, M. A. V.
Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection
2024 Sartor, Davide; Barbariol, Tommaso; Susto, Gian Antonio
Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing
2024 Sun, X.; Beghi, A.; Susto, G. A.; Lv, Z.
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD
2024 Zaccaria, V.; Masiero, C.; Dandolo, D.; Susto, G. A.
Enhancing Interpretability and Generalizability in Extended Isolation Forests
2024 Arcudi, A.; Frizzo, D.; Masiero, C.; Susto, G. A.
Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation
2024 Boni, F.; De Monte, R.; Yang, Y.; Gentner, N.; Khim Low, J.; Susto, G. A.
Extended B-ALIF: Improving Anomaly Detection with Human Feedback
2024 Zaccaria, V.; Sartor, D.; Susto, G. A.
Fault Identification Enhancement with Reinforcement Learning (FIERL)
2024 Zaccaria, V.; Sartor, D.; Del Favero, S.; Susto, G. A.
Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS)
2024 Gentner, Natalie; Susto, Gian Antonio
Improving robustness of quantum feedback control with reinforcement learning
2024 Guatto, Manuel; Susto, Gian Antonio; Ticozzi, Francesco
Improving robustness with image filtering
2024 Terzi, M.; Carletti, M.; Susto, G. A.
Interpretable Data-Driven Anomaly Detection in Industrial Processes With ExIFFI
2024 Frizzo, D.; Borsatti, F.; Arcudi, A.; De Moliner, A.; Oboe, R.; Susto, G. A.
Latent Distillation for Continual Object Detection at the Edge
2024 Pasti, F.; Ceccon, M.; Dalle Pezze, D.; Paissan, F.; Farella, E.; Susto, G. A.; Bellotto, N.