| Machine Learning: A constraint-based approach M Gori, A Betti, S Melacci Elsevier, 2023 | 137 | 2023 |
| Large-N sigma model on a finite interval and the renormalized string energy A Betti, S Bolognesi, SB Gudnason, K Konishi, K Ohashi Journal of High Energy Physics 2018 (1), 1-28, 2018 | 30 | 2018 |
| The principle of least cognitive action A Betti, M Gori Theoretical Computer Science 633, 83-99, 2016 | 23 | 2016 |
| Cognitive action laws: The case of visual features A Betti, M Gori, S Melacci IEEE transactions on neural networks and learning systems 31 (3), 938-949, 2019 | 21 | 2019 |
| Local propagation in constraint-based neural networks G Marra, M Tiezzi, S Melacci, A Betti, M Maggini, M Gori 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 14 | 2020 |
| Learning visual features under motion invariance A Betti, M Gori, S Melacci Neural Networks 126, 275-299, 2020 | 10 | 2020 |
| Focus of attention improves information transfer in visual features M Tiezzi, S Melacci, A Betti, M Maggini, M Gori Advances in Neural Information Processing Systems 33, 22194-22204, 2020 | 10 | 2020 |
| Local propagation of visual stimuli in focus of attention L Faggi, A Betti, D Zanca, S Melacci, M Gori Neurocomputing 560, 126775, 2023 | 9 | 2023 |
| Backprop diffusion is biologically plausible A Betti, M Gori arXiv preprint arXiv:1912.04635, 2019 | 9 | 2019 |
| Convolutional networks in visual environments A Betti, M Gori arXiv preprint arXiv:1801.07110, 2018 | 8 | 2018 |
| Stochastic coherence over attention trajectory for continuous learning in video streams M Tiezzi, S Marullo, L Faggi, E Meloni, A Betti, S Melacci arXiv preprint arXiv:2204.12193, 2022 | 7 | 2022 |
| Deep Learning to See: Towards New Foundations of Computer Vision A Betti, M Gori, S Melacci Springer, 2022 | 6 | 2022 |
| Evaluating continual learning algorithms by generating 3d virtual environments E Meloni, A Betti, L Faggi, S Marullo, M Tiezzi, S Melacci International Workshop on Continual Semi-Supervised Learning, 62-74, 2021 | 6 | 2021 |
| Motion invariance in visual environments A Betti, M Gori, S Melacci arXiv preprint arXiv:1807.06450, 2018 | 6 | 2018 |
| Knowledge-driven active learning G Ciravegna, F Precioso, A Betti, K Mottin, M Gori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 5 | 2023 |
| Continual unsupervised learning for optical flow estimation with deep networks S Marullo, M Tiezzi, A Betti, L Faggi, E Meloni, S Melacci Conference on Lifelong Learning Agents, 183-200, 2022 | 5 | 2022 |
| An Optimal Control Approach to Learning in SIDARTHE Epidemic model A Zugarini, E Meloni, A Betti, A Panizza, M Corneli, M Gori arXiv preprint arXiv:2010.14878, 2020 | 5 | 2020 |
| Backpropagation and biological plausibility A Betti, M Gori, G Marra arXiv preprint arXiv:1808.06934, 2018 | 5 | 2018 |
| Learning neuron non-linearities with kernel-based deep neural networks G Marra, D Zanca, A Betti, M Gori arXiv preprint arXiv:1807.06302, 2018 | 5 | 2018 |
| Continual learning through hamilton equations A Betti, L Faggi, M Gori, M Tiezzi, S Marullo, E Meloni, S Melacci Conference on Lifelong Learning Agents, 201-212, 2022 | 4 | 2022 |
Marco GoriProfessor of Computer Science, University of SienaVerified email at dii.unisi.it
