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Davide Dalle Pezze
Davide Dalle Pezze
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Zitiert von
Zitiert von
Jahr
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
232023
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
222021
A multi-label continual learning framework to scale deep learning approaches for packaging equipment monitoring
D Dalle Pezze, D Deronjic, C Masiero, D Tosato, A Beghi, GA Susto
Engineering Applications of Artificial Intelligence 124, 106610, 2023
132023
Alarm logs in packaging industry (ALPI)
D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi
82020
Continual Learning Approaches for Anomaly Detection
DD Pezze, E Anello, C Masiero, GA Susto
arXiv preprint arXiv:2212.11192, 2022
6*2022
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
42023
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning
M Tremonti, D Dalle Pezze, F Paissan, E Farella, GA Susto
2024 IEEE International Conference on Pervasive Computing and Communications …, 2024
32024
Latent distillation for continual object detection at the edge
F Pasti, M Ceccon, DD Pezze, F Paissan, E Farella, GA Susto, N Bellotto
arXiv preprint arXiv:2409.01872, 2024
22024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
N Bugarin, J Bugaric, M Barusco, DD Pezze, GA Susto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
22024
Replay Consolidation with Label Propagation for Continual Object Detection
R De Monte, DD Pezze, M Ceccon, F Pasti, F Paissan, E Farella, ...
arXiv preprint arXiv:2409.05650, 2024
12024
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent
L Della Libera, J Andreoli, DD Pezze, M Ravanelli, GA Susto
arXiv preprint arXiv:2402.01098, 2024
12024
Methodological Advancements in Continual Learning and Industry 4.0 Applications
D Dalle Pezze
Università degli studi di Padova, 2023
12023
Alarm logs of industrial packaging machines
D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi
IEEE DataPort, 2022
12022
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
M Barusco, F Borsatti, DD Pezze, F Paissan, E Farella, GA Susto
arXiv preprint arXiv:2410.11591, 2024
2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection
F Pasti, R De Monte, DD Pezze, GA Susto, N Bellotto
arXiv preprint arXiv:2409.16215, 2024
2024
Fairness Evolution in Continual Learning for Medical Imaging
M Ceccon, DD Pezze, A Fabris, GA Susto
arXiv preprint arXiv:2406.02480, 2024
2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
M Ceccon, DD Pezze, A Fabris, GA Susto
arXiv preprint arXiv:2404.06859, 2024
2024
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
2023
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