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 | 17 | 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 | 15 | 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 | 8 | 2023 |
Alarm logs in packaging industry (ALPI) D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi | 5 | 2020 |
Continual Learning Approaches for Anomaly Detection DD Pezze, E Anello, C Masiero, GA Susto arXiv preprint arXiv:2212.11192, 2022 | 4* | 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 | 2 | 2023 |
Methodological Advancements in Continual Learning and Industry 4.0 Applications D Dalle Pezze Università 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 |
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 | | 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 arXiv preprint arXiv:2403.15463, 2024 | | 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 | | 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 | | 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 |