| Large-N ℂ ℙ N − 1 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 | 35 | 2018 |
| The principle of least cognitive action A Betti, M Gori Theoretical Computer Science 633, 83-99, 2016 | 22 | 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 | 19 | 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 | 12 | 2020 |
| Convolutional networks in visual environments A Betti, M Gori arXiv preprint arXiv:1801.07110, 2018 | 8 | 2018 |
| Learning visual features under motion invariance A Betti, M Gori, S Melacci Neural Networks 126, 275-299, 2020 | 7 | 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 | 7 | 2020 |
| Wave propagation of visual stimuli in focus of attention L Faggi, A Betti, D Zanca, S Melacci, M Gori arXiv preprint arXiv:2006.11035, 2020 | 6 | 2020 |
| Motion invariance in visual environments A Betti, M Gori, S Melacci arXiv preprint arXiv:1807.06450, 2018 | 6 | 2018 |
| Regional solar power forecasting 2020 A Betti, M Pierro, C Cornaro, D Moser, M Moschella, E Collino, D Ronzio, ... IEA-PVPS: Paris, France, 2020 | 5 | 2020 |
| Backprop diffusion is biologically plausible A Betti, M Gori arXiv preprint arXiv:1912.04635, 2019 | 5 | 2019 |
| Evaluating continual learning algorithms by generating 3d virtual environments E Meloni, A Betti, L Faggi, S Marullo, M Tiezzi, S Melacci Continual Semi-Supervised Learning: First International Workshop, CSSL 2021 …, 2022 | 4 | 2022 |
| Backpropagation and biological plausibility A Betti, M Gori, G Marra arXiv preprint arXiv:1808.06934, 2018 | 4 | 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 | 4 | 2018 |
| YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery A Betti, M Tucci Sensors 23 (4), 1865, 2023 | 3 | 2023 |
| Developing constrained neural units over time A Betti, M Gori, S Marullo, S Melacci 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| 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 | 2 | 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 | 2 | 2020 |
| A variational framework for laws of learning A Betti Ph. D. thesis, 2020 | 2 | 2020 |
| Generalization in quasi-periodic environments G Bellettini, A Betti, M Gori arXiv preprint arXiv:1807.05343, 2018 | 2 | 2018 |
Marco GoriProfessor of Computer Science, University of SienaVerified email at dii.unisi.it
