Deep open-set recognition for silicon wafer production monitoring L Frittoli, D Carrera, B Rossi, P Fragneto, G Boracchi Pattern Recognition 124, 108488, 2022 | 20 | 2022 |
Deep autoencoders for anomaly detection in textured images using CW-SSIM A Bionda, L Frittoli, G Boracchi International Conference on Image Analysis and Processing, 669-680, 2022 | 8 | 2022 |
Composite layers for deep anomaly detection on 3D point clouds A Floris, L Frittoli, D Carrera, G Boracchi arXiv preprint arXiv:2209.11796, 2022 | 7 | 2022 |
Artificial neural network processing methods and system D Carrera, M Colella, G Desoli, G Boracchi, B Rossi, P Fragneto, L Frittoli US Patent App. 17/383,132, 2022 | 6 | 2022 |
Change Detection in Multivariate Datastreams Controlling False Alarms L Frittoli, D Carrera, G Boracchi Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 6 | 2021 |
Nonparametric and online change detection in multivariate Datastreams using QuantTree L Frittoli, D Carrera, G Boracchi IEEE Transactions on Knowledge and Data Engineering, 2022 | 5 | 2022 |
Strengthening Sequential Side-Channel Attacks Through Change Detection L Frittoli, M Bocchi, S Mella, D Carrera, B Rossi, P Fragneto, R Susella, ... IACR Transactions on Cryptographic Hardware and Embedded Systems, 1-21, 2020 | 4 | 2020 |
Class Distribution Monitoring for Concept Drift Detection D Stucchi, L Frittoli, G Boracchi IEEE-INNS International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
Composite convolution: A flexible operator for deep learning on 3D point clouds A Floris, L Frittoli, D Carrera, G Boracchi Pattern Recognition, 110557, 2024 | | 2024 |
Advanced learning methods for anomaly detection in multivariate datastreams and point clouds L Frittoli Politecnico di Milano, 2022 | | 2022 |
Artificial Intelligence for Silicon Wafer Production Monitoring L Frittoli, N Folloni, D Carrera, B Rossi, P Fragneto, G Boracchi Ital-IA Convegno Nazionale CINI sull'Intelligenza Artificiale, 2022 | | 2022 |