SUSTO, GIAN ANTONIO
SUSTO, GIAN ANTONIO
Dipartimento di Ingegneria dell'Informazione - DEI
Continual learning approaches for anomaly detection
2025 Pezze, Davide Dalle; Anello, Eugenia; Masiero, Chiara; Susto, Gian Antonio
Continual Learning for Behavior-based Driver Identification
2025 Fanan, Mattia; Dalle Pezze, Davide; Efatinasab, Emad; Carli, Ruggero; Rampazzo, Mirco; Susto, Gian Antonio
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing
2025 Barusco, M.; Dalle Pezze, D.; Gentner, N.; Poniatowski, A.; Salti, S.; Susto, G. A.
Edge Delayed Deep Deterministic Policy Gradient: Efficient Continuous Control for Edge Scenarios
2025 Sinigaglia, Alberto; Turcato, Niccolò; Carli, Ruggero; Antonio Susto, Gian
Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs
2025 Rondina, Marco; Vetrò, Antonio; Fabris, Alessandro; Silvello, Gianmaria; Susto, Gian Antonio; Torchiano, Marco; De Martin, Juan Carlos
Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing
2025 Immordino, Alessandro; Stöckermann, Patrick; Hayen, Niels; Altenmüller, Thomas; Susto, Gian Antonio; Gebser, Martin; Schekotihin, Konstantin; Seidel, Georg
Fortifying smart grid stability: Defending against adversarial attacks and measurement anomalies
2025 Efatinasab, Emad; Azadi, Nahal; Susto, Gian Antonio; Mujeeb Ahmed, Chuadhry; Rampazzo, Mirco
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd “AI Olympics with RealAIGym” Competition
2025 Wiebe, F.; Turcato, N.; Dalla Libera, A.; Choe, J. S. B.; Choi, B.; Faust, T.; Maraqten, H.; Jolfaei, E A.; Calì, M.; Sinigaglia, A.; Giacomuzzo, G.; Carli, R.; Romeres, D.; Kim, J.; Susto, G. A.; Vyas, S.; Mronga, D.; Belousov, B.; Peters, J.; Kirchner, F.; Kumar, S.
Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond
2025 Ceccon, Marina; Cornacchia, Giandomenico; Dalle Pezze, Davide; Fabris, Alessandro; Susto, Gian Antonio
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
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.
Enhancing Interpretability and Generalizability in Extended Isolation Forests
2024 Arcudi, A.; Frizzo, D.; Masiero, C.; 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.
On the limitations of adversarial training for robust image classification with convolutional neural networks
2024 Carletti, M.; Sinigaglia, A.; Terzi, M.; Susto, G. A.
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring
2023 Dalle Pezze, Davide; Deronjic, Denis; Masiero, Chiara; Tosato, Diego; Beghi, Alessandro; Susto, Gian Antonio