Davide Dalle Pezze

According to our database, Davide Dalle Pezze authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning.

Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto

CoRR, 2024

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent.

Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto

CoRR, 2024

2023

AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box.

David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto

Expert Syst. Appl., 2023

A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring.

Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto

Eng. Appl. Artif. Intell., 2023

Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation.

Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper.

Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni

Proceedings of the Forum on Specification & Design Languages, 2023

2022

Alarm Logs in Packaging Industry (ALPI).

Diego Tosato, Davide Dalle Pezze, Chiara Masiero, Gian Antonio Susto, Alessandro Beghi

Dataset, May, 2022

FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment.

Davide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto

IEEE Trans Autom. Sci. Eng., 2022

Continual Learning Approaches for Anomaly Detection.

Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto

CoRR, 2022