| EasyMKL: a scalable multiple kernel learning algorithm F Aiolli, M Donini Neurocomputing 169, 215-224, 2015 | 93 | 2015 |
| Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil Advances in Neural Information Processing Systems, 2791-2801, 2018 | 82 | 2018 |
| Forward and reverse gradient-based hyperparameter optimization L Franceschi, M Donini, P Frasconi, M Pontil Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 61 | 2017 |
| ClimbTheWorld: Real-time stairstep counting to increase physical activity F Aiolli, M Ciman, M Donini, O Gaggi Proceedings of the 11th International Conference on Mobile and Ubiquitous …, 2014 | 21 | 2014 |
| Learning deep kernels in the space of dot product polynomials M Donini, F Aiolli Machine Learning 106 (9-10), 1245-1269, 2017 | 18 | 2017 |
| Multiple graph-kernel learning F Aiolli, M Donini, N Navarin, A Sperduti 2015 IEEE Symposium Series on Computational Intelligence, 1607-1614, 2015 | 16 | 2015 |
| Stairstep recognition and counting in a serious Game for increasing users’ physical activity M Ciman, M Donini, O Gaggi, F Aiolli Personal and Ubiquitous Computing 20 (6), 1015-1033, 2016 | 14 | 2016 |
| Measuring the expressivity of graph kernels through Statistical Learning Theory L Oneto, N Navarin, M Donini, A Sperduti, F Aiolli, D Anguita Neurocomputing 268, 4-16, 2017 | 13 | 2017 |
| Taking advantage of multitask learning for fair classification L Oneto, M Doninini, A Elders, M Pontil Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 227-237, 2019 | 11 | 2019 |
| Scuba: scalable kernel-based gene prioritization G Zampieri, D Van Tran, M Donini, N Navarin, F Aiolli, A Sperduti, G Valle BMC bioinformatics 19 (1), 23, 2018 | 10 | 2018 |
| Learning Anisotropic RBF Kernels F Aiolli, M Donini | 8 | 2014 |
| A multimodal multiple kernel learning approach to Alzheimer's disease detection M Donini, JM Monteiro, M Pontil, J Shawe-Taylor, J Mourao-Miranda 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 7 | 2016 |
| A bridge between hyperparameter optimization and larning-to-learn L Franceschi, P Frasconi, M Donini, M Pontil stat 1050, 18, 2017 | 6 | 2017 |
| Feature and kernel learning V Bolón-Canedo, M Donini, F Aiolli Proc. 23th Eur. Symp. Artif. Neural Netw.(ESANN), 173, 2015 | 6 | 2015 |
| A serious game to persuade people to use stairs F Aiolli, M Ciman, M Donini, O Gaggi Proceedings of Persuasive, 2014 | 6 | 2014 |
| Easy multiple kernel learning F Aiolli, M Donini | 6 | 2014 |
| General fair empirical risk minimization L Oneto, M Donini, M Pontil arXiv preprint arXiv:1901.10080, 2019 | 5 | 2019 |
| Learning with kernels: a local rademacher complexity-based analysis with application to graph kernels L Oneto, N Navarin, M Donini, S Ridella, A Sperduti, F Aiolli, D Anguita IEEE transactions on neural networks and learning systems 29 (10), 4660-4671, 2017 | 5 | 2017 |
| An efficient method to impose fairness in linear models M Donini, S Ben-David, M Pontil, J Shawe-Taylor NIPS Workshop on Prioritising Online Content, 2017 | 5 | 2017 |
| Distributed variance regularized multitask learning M Donini, D Martinez-Rego, M Goodson, J Shawe-Taylor, M Pontil 2016 International Joint Conference on Neural Networks (IJCNN), 3101-3109, 2016 | 4 | 2016 |
Fabio AiolliUniversity of PadovaVerified email at math.unipd.it
