| Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning I Lauriola, M Polato, F Aiolli International Conference on Artificial Neural Networks, 183-191, 2017 | 11 | 2017 |
| Enhancing deep neural networks via Multiple Kernel Learning I Lauriola, C Gallicchio, F Aiolli Pattern Recognition, 107194, 2020 | 10 | 2020 |
| A Novel Boolean Kernels Family for Categorical Data M Polato, I Lauriola, F Aiolli Entropy 20 (6), 444, 2018 | 5 | 2018 |
| A Heuristic for Multi-attribute Vehicle Routing Problems in Express Freight Transportation L De Giovanni, N Gastaldon, I Lauriola, F Sottovia International Conference on Optimization and Decision Science, 161-169, 2017 | 5 | 2017 |
| Learning Representations for Biomedical Named Entity Recognition I Lauriola, R Sella, F Aiolli, A Lavelli, F Rinaldi 2nd workshop on Natural Language for Artificial Intelligence (NL4AI 2018), 83-94, 2018 | 4 | 2018 |
| The minimum effort maximum output principle applied to Multiple Kernel Learning. I Lauriola, M Polato, F Aiolli ESANN, 2018 | 4 | 2018 |
| Classification of Categorical Data in the Feature Space of Monotone DNFs M Polato, I Lauriola, F Aiolli International Conference on Artificial Neural Networks, 279-286, 2017 | 4 | 2017 |
| Learning Dot Product Polynomials for multiclass problems I Lauriola, M Donini, F Aiolli Proceedings of the 25th European Symposium of Artificial Neural Networks …, 2017 | 4 | 2017 |
| Psychiatric Disorders Classification with 3D Convolutional Neural Networks S Campese, I Lauriola, C Scarpazza, G Sartori, F Aiolli INNS Big Data and Deep Learning conference, 48-57, 2019 | 3 | 2019 |
| Fast Hyperparameter Selection for Graph kernels via Subsampling and Multiple Kernel Learning M Donini, N Navarin, I Lauriola, F Aiolli, F Costa Proceedings of the 25th European Symposium of Artificial Neural Networks …, 2017 | 3 | 2017 |
| DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text P Capuozzo, I Lauriola, C Strapparava, F Aiolli, G Sartori Proceedings of The 12th Language Resources and Evaluation Conference, 1423-1430, 2020 | 1 | 2020 |
| Learning Preferences for Large Scale Multi-label Problems I Lauriola, M Polato, A Lavelli, F Rinaldi, F Aiolli International Conference on Artificial Neural Networks, 546-555, 2018 | 1 | 2018 |
| On the Impact of Early Stopping in Multiple Kernel Learning I Lauriola Proceedings of the Future Technologies Conference, 205-215, 2020 | | 2020 |
| Learning deep kernels in the space of monotone Conjunctive Polynomials I Lauriola, M Polato, F Aiolli Pattern Recognition Letters, 2020 | | 2020 |
| Monotone Deep Spectrum Kernels I Lauriola, F Aiolli International Conference on Artificial Neural Networks, 207-219, 2020 | | 2020 |
| MKLpy: a python-based framework for Multiple Kernel Learning I Lauriola, F Aiolli arXiv preprint arXiv:2007.09982, 2020 | | 2020 |
| Context-based Transformer Models for Answer Sentence Selection I Lauriola, A Moschitti arXiv preprint arXiv:2006.01285, 2020 | | 2020 |
| Automatic Detection of Cross-language Verbal Deception C Pasquale, I Lauriola, C Strapparava, A Fabio, S Giuseppe 42nd Annual Conference of the Cognitive Science Society (CogSci'20), 1756-1762, 2020 | | 2020 |
| Do people believe in Artificial Intelligence?: A cross-topic multicultural study A Kolasinska, I Lauriola, G Quadrio Proceedings of the 5th EAI International Conference on Smart Objects and …, 2019 | | 2019 |
| Evaluation of Tag Clusterings for User Profiling in Movie Recommendation G Faggioli, M Polato, I Lauriola, F Aiolli International Conference on Artificial Neural Networks, 456-468, 2019 | | 2019 |
Fabio AiolliUniversity of PadovaVerified email at math.unipd.it
