MAGISTRI, SIMONE
MAGISTRI, SIMONE
Ingegneria dell'Informazione
A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization
2025 Francesco Carciaghi, Simone Magistri, Pierluigi Mansueto, Fabio Schoen
A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from Dashcam Images
2020 Simone Magistri, Francesco Sambo, Fabio Schoen, Douglas Coimbra de Andrade, Matteo Simoncini, Stefano Caprasecca, Luca Kubin, Luca Bravi, Leonardo Taccari
Continual learning for adaptive social network identification
2024 Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A.
Efficient Architectures and Incremental Methodologies for Deep Learning
2024 Simone Magistri; Andrew David Bagdanov
ELASTIC FEATURE CONSOLIDATION FOR COLD START EXEMPLAR-FREE INCREMENTAL LEARNING
2024 Magistri S.; Trinci T.; Soutif-Cormerais A.; van de Weijer J.; Bagdanov A.D.
How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training of Vision Foundation Models
2025 Trinci, Tomaso; Magistri, Simone; Verdecchia, Roberto; Bagdanov, Andrew D.
Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition
2025 Caselli, Lorenzo; Magistri, Simone; Bianconcini, Tommaso; Benericetti, Andrea; de Andrade, Douglas Coimbra; Bagdanov, Andrew D.
Systems and methods for utilizing a deep learning model to determine vehicle viewpoint estimations
2021 Simone Magistri, Francesco Sambo, Douglas Coimbra De Andrade, Fabio SCHOEN, Matteo Simoncini, Luca Bravi, Stefano CAPRASECCA, Luca Kubin, Leonardo Taccari
Towards Continual Social Network Identification
2023 Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization | 2025 | Francesco Carciaghi, Simone Magistri, Pierluigi Mansueto, Fabio Schoen | |
| A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from Dashcam Images | 2020 | Simone Magistri, Francesco Sambo, Fabio Schoen, Douglas Coimbra de Andrade, Matteo Simoncini, Stefano Caprasecca, Luca Kubin, Luca Bravi, Leonardo Taccari | |
| Continual learning for adaptive social network identification | 2024 | Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A. | |
| Efficient Architectures and Incremental Methodologies for Deep Learning | 2024 | Simone Magistri; Andrew David Bagdanov | |
| ELASTIC FEATURE CONSOLIDATION FOR COLD START EXEMPLAR-FREE INCREMENTAL LEARNING | 2024 | Magistri S.; Trinci T.; Soutif-Cormerais A.; van de Weijer J.; Bagdanov A.D. | |
| How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training of Vision Foundation Models | 2025 | Trinci, Tomaso; Magistri, Simone; Verdecchia, Roberto; Bagdanov, Andrew D. | |
| Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition | 2025 | Caselli, Lorenzo; Magistri, Simone; Bianconcini, Tommaso; Benericetti, Andrea; de Andrade, Douglas Coimbra; Bagdanov, Andrew D. | |
| Systems and methods for utilizing a deep learning model to determine vehicle viewpoint estimations | 2021 | Simone Magistri, Francesco Sambo, Douglas Coimbra De Andrade, Fabio SCHOEN, Matteo Simoncini, Luca Bravi, Stefano CAPRASECCA, Luca Kubin, Leonardo Taccari | |
| Towards Continual Social Network Identification | 2023 | Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A. |