Davide Dalle Pezze - researchr alias

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Viewing Publication 1 - 5 from 5

2023

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination PaperAlessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni 0002. fdl 2023: 1-8 [doi]

AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black boxDavid Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto. eswa, 214:119115, 2023. [doi]

Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life EstimationLuciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto. indin 2023: 1-9 [doi]

A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoringDavide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto. eaai, 124:106610, 2023. [doi]

2022

FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial EquipmentDavide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto. tase, 19(3):1491-1502, 2022. [doi]

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