| Generating medical reports from patient-doctor conversations using sequence-to-sequence models S Enarvi, M Amoia, MDA Teba, B Delaney, F Diehl, S Hahn, K Harris, ... Proceedings of the first workshop on natural language processing for medical …, 2020 | 70 | 2020 |
| A food chain ecoepidemic model: infection at the bottom trophic level A De Rossi, F Lisa, L Rubini, A Zappavigna, E Venturino Ecological complexity 21, 233-245, 2015 | 17 | 2015 |
| OCReP: an optimally conditioned regularization for pseudoinversion based neural training R Cancelliere, M Gai, P Gallinari, L Rubini Neural Networks 71, 76-87, 2015 | 12 | 2015 |
| An analysis of numerical issues in neural training by pseudoinversion R Cancelliere, R Deluca, M Gai, P Gallinari, L Rubini Computational and Applied Mathematics 36, 599-609, 2017 | 5 | 2017 |
| Computational experience with pseudoinversion-based training of neural networks using random projection matrices L Rubini, R Cancelliere, P Gallinari, A Grosso, A Raiti Artificial Intelligence: Methodology, Systems, and Applications: 16th …, 2014 | 3 | 2014 |
| Local search and pseudoinversion: an hybrid approach to neural network training L Rubini, R Cancelliere, P Gallinari, A Grosso Knowledge and Information Systems 48, 493-503, 2016 | 2 | 2016 |
