| 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 | 25 | 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 | 25 | 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 | 15 | 2023 |
| Alarm logs in packaging industry (ALPI) D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi | 9 | 2020 |
| Continual Learning Approaches for Anomaly Detection DD Pezze, E Anello, C Masiero, GA Susto arXiv preprint arXiv:2212.11192, 2022 | 6* | 2022 |
| 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 | 4 | 2023 |
| 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 | 3 | 2024 |
| 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 | 3 | 2024 |
| Latent distillation for continual object detection at the edge F Pasti, M Ceccon, DD Pezze, F Paissan, E Farella, GA Susto, N Bellotto arXiv preprint arXiv:2409.01872, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| PaSTe: Improving the efficiency of visual anomaly detection at the edge M Barusco, F Borsatti, DD Pezze, F Paissan, E Farella, GA Susto arXiv preprint arXiv:2410.11591, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark M Ceccon, DD Pezze, A Fabris, GA Susto arXiv preprint arXiv:2404.06859, 2024 | 1 | 2024 |
| Methodological Advancements in Continual Learning and Industry 4.0 Applications D Dalle Pezze Universitą degli studi di Padova, 2023 | 1 | 2023 |
| Alarm logs of industrial packaging machines D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi IEEE DataPort, 2022 | 1 | 2022 |
| Continual Learning for Behavior-based Driver Identification M Fanan, DD Pezze, E Efatinasab, R Carli, M Rampazzo, GA Susto arXiv preprint arXiv:2412.10780, 2024 | | 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 | | 2024 |
| Fairness Evolution in Continual Learning for Medical Imaging M Ceccon, DD Pezze, A Fabris, GA Susto arXiv preprint arXiv:2406.02480, 2024 | | 2024 |
| VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper A Beghi, N Dall'Ora, D Dalle Pezze, F Fummi, C Masiero, S Spellini, ... 2023 Forum on Specification & Design Languages (FDL), 1-8, 2023 | | 2023 |
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfVerified email at dei.unipd.it
