| Conditioned variational autoencoder for top-n item recommendation T Carraro, M Polato, L Bergamin, F Aiolli International Conference on Artificial Neural Networks, 785-796, 2022 | 8 | 2022 |
| Logic tensor networks for top-n recommendation T Carraro, A Daniele, F Aiolli, L Serafini International Conference of the Italian Association for Artificial …, 2022 | 6 | 2022 |
| A look inside the black-box: Towards the interpretability of conditioned variational autoencoder for collaborative filtering T Carraro, M Polato, F Aiolli Adjunct publication of the 28th ACM conference on user modeling, adaptation …, 2020 | 5 | 2020 |
| Novel applications for VAE-based anomaly detection systems L Bergamin, T Carraro, M Polato, F Aiolli 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Overcoming Recommendation Limitations with Neuro-Symbolic Integration T Carraro Proceedings of the 17th ACM Conference on Recommender Systems, 1325-1331, 2023 | 1 | 2023 |
| Conditioned variational autoencoder for top-n item recommendation M Polato, T Carraro, F Aiolli arXiv, arXiv: 2004.11141, 2020 | 1 | 2020 |
| Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer T Carraro, A Daniele, F Aiolli, L Serafini European Conference on Information Retrieval, 226-242, 2024 | | 2024 |
| Bayes Point Rule Set Learning F Aiolli, L Bergamin, T Carraro, M Polato arXiv preprint arXiv:2204.05251, 2022 | | 2022 |
| Neuro-Symbolic Recommender Systems T Carraro | | 2022 |
Fabio AiolliUniversity of PadovaGeverifieerd e-mailadres voor math.unipd.it
