BARUSCO, MANUEL
BARUSCO, MANUEL
Università di Padova
A Deep Learning Approach for Aluminum Corrosion Recognition in Semiconductor Manufacturing
2025 Binotto, S.; Brunelli, L.; Barusco, M.; Masiero, C.; Susto, G. A.
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing
2025 Barusco, M.; Dalle Pezze, D.; Gentner, N.; Poniatowski, A.; Salti, S.; Susto, G. A.
Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study
2025 Barusco, M.; Borsatti, F.; Ben Khalifa, Y.; Dalle Pezze, D.; Susto, G. A.
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection
2025 Barusco, M.; D'Antoni, L.; Borsatti, F.; Dalle Pezze, D.; Susto, G. A.
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
2025 Barusco, M.; Borsatti, F.; Dalle Pezze, D.; Paissan, F.; Farella, E.; Susto, G. A.
Towards Continual Visual Anomaly Detection in the Medical Domain
2025 Barusco, M.; Borsatti, F.; Susto, G. A.; Dalle Pezze, D.
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
2025 Stropeni, A.; Borsatti, F.; Barusco, M.; Dalle Pezze, D.; Fabris, M.; Susto, G. A.
Content-Based Dataset Retrieval Methods: Reproducibility of the ACORDAR Test Collection
2024 Menotti, Laura; Barusco, Manuel; Forzan, Riccardo; Silvello, Gianmaria
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
2024 Bugarin, N.; Bugaric, J.; Barusco, M.; Dalle Pezze, D.; Susto, G. A.