Davide Dalle Pezze
Davide Dalle Pezze
Univeristy of Padua
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Zitiert von
Zitiert von
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
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
Alarm logs in packaging industry (ALPI)
D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
DD Pezze, D Deronjic, C Masiero, D Tosato, A Beghi, GA Susto
arXiv preprint arXiv:2208.04227, 2022
Continual Learning Approaches for Anomaly Detection
DD Pezze, E Anello, C Masiero, GA Susto
arXiv preprint arXiv:2212.11192, 2022
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
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
Methodological Advancements in Continual Learning and Industry 4.0 Applications
D Dalle Pezze
Università degli studi di Padova, 2023
Alarm logs of industrial packaging machines
D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi
IEEE DataPort, 2022
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