Davide Dalle Pezze
Orcid: 0000-0002-4741-1021
According to our database1,
Davide Dalle Pezze
authored at least 16 papers
between 2022 and 2024.
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Bibliography
2024
CoRR, 2024
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent.
CoRR, 2024
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box.
Expert Syst. Appl., 2023
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring.
Eng. Appl. Artif. Intell., 2023
Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper.
Proceedings of the Forum on Specification & Design Languages, 2023
2022
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment.
IEEE Trans Autom. Sci. Eng., 2022