| AcME—Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box D Dandolo, C Masiero, M Carletti, D Dalle Pezze, GA Susto Expert Systems with Applications 214, 119115, 2023 | 41 | 2023 |
| FORMULA: A deep learning approach for rare alarms predictions in industrial equipment D Dalle Pezze, C Masiero, D Tosato, A Beghi, GA Susto IEEE Transactions on Automation Science and Engineering 19 (3), 1491-1502, 2021 | 37 | 2021 |
| A multi-label continual learning framework to scale deep learning approaches for packaging equipment monitoring D Dalle Pezze, D Deronjic, C Masiero, D Tosato, A Beghi, GA Susto Engineering Applications of Artificial Intelligence 124, 106610, 2023 | 21 | 2023 |
| Continual learning approaches for anomaly detection DD Pezze, E Anello, C Masiero, GA Susto Evolving Systems 16 (4), 111, 2025 | 17* | 2025 |
| Predictive maintenance in the industry: A comparative study on deep learning-based remaining useful life estimation L Lorenti, D Dalle Pezze, J Andreoli, C Masiero, N Gentner, Y Yang, ... 2023 ieee 21st international conference on industrial informatics (indin), 1-9, 2023 | 15 | 2023 |
| Unveiling the anomalies in an ever-changing world: A benchmark for pixel-level anomaly detection in continual learning N Bugarin, J Bugaric, M Barusco, DD Pezze, GA Susto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Paste: Improving the efficiency of visual anomaly detection at the edge M Barusco, F Borsatti, DD Pezze, F Paissan, E Farella, GA Susto Proceedings of the Computer Vision and Pattern Recognition Conference, 4026-4035, 2025 | 11 | 2025 |
| Alarm logs in packaging industry (ALPI) D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi | 10 | 2020 |
| Multi-label continual learning for the medical domain: A novel benchmark M Ceccon, D Dalle Pezze, A Fabris, GA Susto 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 | 9 | 2025 |
| Latent distillation for continual object detection at the edge F Pasti, M Ceccon, DD Pezze, F Paissan, E Farella, GA Susto, N Bellotto European conference on computer vision, 279-294, 2024 | 7 | 2024 |
| An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning M Tremonti, D Dalle Pezze, F Paissan, E Farella, GA Susto 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | 7 | 2024 |
| Fairness evolution in continual learning for medical imaging M Ceccon, D Dalle Pezze, A Fabris, GA Susto IFAC-PapersOnLine 59 (26), 145-150, 2025 | 6 | 2025 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent L Della Libera, J Andreoli, DD Pezze, M Ravanelli, GA Susto arXiv preprint arXiv:2402.01098, 2024 | 6 | 2024 |
| Moviad: A modular library for visual anomaly detection M Barusco, F Borsatti, A Stropeni, DD Pezze, GA Susto arXiv preprint arXiv:2507.12049, 2025 | 5* | 2025 |
| Replay consolidation with label propagation for continual object detection R De Monte, DD Pezze, M Ceccon, F Pasti, F Paissan, E Farella, ... arXiv preprint arXiv:2409.05650, 2024 | 5 | 2024 |
| Tiny robotics dataset and benchmark for continual object detection F Pasti, R De Monte, DD Pezze, GA Susto, N Bellotto arXiv preprint arXiv:2409.16215, 2024 | 4 | 2024 |
| Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond M Ceccon, G Cornacchia, D Dalle Pezze, A Fabris, GA Susto Expert Systems with Applications, 128266, 2025 | 3 | 2025 |
| Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection R De Monte, D Dalle Pezze, GA Susto arXiv preprint arXiv:2503.04688, 2025 | 2 | 2025 |
| Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection M Barusco, L D'Antoni, D Dalle Pezze, F Borsatti, GA Susto arXiv preprint arXiv:2503.02691, 2025 | 2 | 2025 |
| Towards Continual Visual Anomaly Detection in the Medical Domain M Barusco, F Borsatti, N Beda, D Dalle Pezze, GA Susto Proceedings of the International Workshop on Personalized Incremental …, 2025 | 1 | 2025 |
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfVerified email at dei.unipd.it
