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Davide Dalle Pezze
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2020 – today
- 2024
- [c4]Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto:
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CVPR Workshops 2024: 4065-4074 - [c3]Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto:
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. PerCom Workshops 2024: 690-695 - [i11]Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto:
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. CoRR abs/2402.01098 (2024) - [i10]Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto:
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CoRR abs/2403.15463 (2024) - [i9]Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris
, Gian Antonio Susto:
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR abs/2404.06859 (2024) - [i8]Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris
Fairness Evolution in Continual Learning for Medical Imaging. CoRR abs/2406.02480 (2024) - [i7]Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto:
Latent Distillation for Continual Object Detection at the Edge. CoRR abs/2409.01872 (2024) - [i6]Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto:
Replay Consolidation with Label Propagation for Continual Object Detection. CoRR abs/2409.05650 (2024) - [i5]Francesco Pasti, Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto, Nicola Bellotto:
Tiny Robotics Dataset and Benchmark for Continual Object Detection. CoRR abs/2409.16215 (2024) - [i4]Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto:
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge. CoRR abs/2410.11591 (2024) - 2023
- [j3]Davide Dalle Pezze
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. 124: 106610 (2023) - [j2]David Dandolo
AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. 214: 119115 (2023) - [c2]Alessandro Beghi, Nicola Dall'Ora
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL 2023: 1-8 - [c1]Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto:
Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. INDIN 2023: 1-9 - 2022
- [j1]Davide Dalle Pezze, Chiara Masiero
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. 19(3): 1491-1502 (2022) - [d1]Diego Tosato
Alarm Logs in Packaging Industry (ALPI). IEEE DataPort, 2022 - [i3]Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. CoRR abs/2208.04227 (2022) - [i2]Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto:
Continual Learning Approaches for Anomaly Detection. CoRR abs/2212.11192 (2022) - 2021
- [i1]David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto:
AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR abs/2112.12635 (2021)
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