| Efficient Training for Positive Unlabeled Learning E Sansone, F De Natale, ZH Zhou IEEE Trans. on Pattern Analysis and Machine Intelligence, 2018 | 58 | 2018 |
| Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods. TV Nguyen, MS Dao, R Mattivi, E Sansone, FGB De Natale, G Boato MediaEval, 2013 | 28 | 2013 |
| Automatic synchronization of multi-user photo galleries E Sansone, K Apostolidis, N Conci, G Boato, V Mezaris, FGB De Natale IEEE Transactions on Multimedia 19 (6), 1285-1298, 2017 | 6 | 2017 |
| Classtering: Joint classification and clustering with mixture of factor analysers E Sansone, A Passerini, FGB De Natale European Conference on Artificial Intelligence (ECAI), 1089-1095, 2016 | 6 | 2016 |
| LSB: Local Self-Balancing MCMC in Discrete Spaces E Sansone International Conference on Machine Learning (ICML), 2022 | 5 | 2022 |
| Synchronizing Multi-User Photo Galleries with MRF. E Sansone, G Boato, MS Dao MediaEval, 2014 | 5 | 2014 |
| Training Feedforward Neural Networks with Standard Logistic Activations is Feasible E Sansone, FGB De Natale arXiv preprint arXiv:1710.01013, 2017 | 3 | 2017 |
| VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming E Misino, E G. Marra, Sansone Neural Information Processing Systems (NeurIPS), 2022 | 2 | 2022 |
| Coulomb Autoencoders E Sansone, HT Ali, J Sun European Conference on Artificial Intelligence (ECAI), 2020 | 1 | 2020 |
| GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning E Sansone, R Manhaeve https://arxiv.org/abs/2212.13425, 2022 | | 2022 |
| Leveraging Hidden Structure in Self-Supervised Learning E Sansone https://arxiv.org/pdf/2106.16060.pdf, 2021 | | 2021 |
| Towards Uncovering the True Use of Unlabeled Data in Machine Learning E Sansone University of Trento, 2018 | | 2018 |
