| Novel Applications for VAE-based Anomaly Detection Systems L Bergamin, T Carraro, M Polato, F Aiolli (IJCNN) International Joint Conference on Neural Networks, 2022 | 11 | 2022 |
| Conditioned variational autoencoder for top-n item recommendation T Carraro, M Polato, L Bergamin, F Aiolli (ICANN) International Conference on Artificial Neural Networks, 785-796, 2022 | 9 | 2022 |
| Addressing Challenges in Image Translation for Contrast-Enhanced Mammography Using Generative Adversarial Networks M Hosseinipour, L Bergamin, H Kotler, G Gennaro, F Aiolli EasyChair Preprint 15473, 2024 | 1 | 2024 |
| Improving rule-based classifiers by Bayes point aggregation L Bergamin, M Polato, F Aiolli Neurocomputing 613, 128699, 2025 | | 2025 |
| An Investigation into Creating Counterfactual Examples for Non-Linear Support Vector Machines L Bergamin, F Aiolli (preprint) SSRN, 2024 | | 2024 |
| Interpretability Challenges in Deep Learning: A Focus on Symbolic Representation S Hakiminejad, L Bergamin, F Aiolli (thesis co-supervisor) University of Padua, 2024 | | 2024 |
| IJCNN 2023: Celebrating 80 Years of Neural Networks D Rumelhart, P Werbos, B Widrow, K Fukushima, T Kohonen, J Taylor, ... (conference reviewer), 2023 | | 2023 |
| Machine learning explainability through persistent homology I Gridelli, L Bergamin, F Aiolli (thesis co-supervisor) University of Padua, 2022 | | 2022 |
| Bayes Point Rule Set Learning F Aiolli, L Bergamin, T Carraro, F Polato (ESANN) 30th European Symposium on Artificial Neural Networks, Computational …, 2022 | | 2022 |
| Enhancing Variational Autoencoders Sample Quality by Promoting Diversity and Originality L Bergamin, M Polato, F Aiolli (MSc thesis) University of Padua, 2021 | | 2021 |
Fabio AiolliUniversity of Padova在 math.unipd.it 的电子邮件经过验证
Fabio AiolliUniversity of Padova在 math.unipd.it 的电子邮件经过验证
Mirko Polato, PhDUniversity of Turin在 di.unito.it 的电子邮件经过验证
Tommaso CarraroFondazione Bruno Kessler在 fbk.eu 的电子邮件经过验证