Machine Learning: A constraint-based approach M Gori, A Betti, S Melacci
Elsevier, 2023
143 2023 Large-N A Betti, S Bolognesi, SB Gudnason, K Konishi, K Ohashi
Journal of High Energy Physics 2018 (1), 1-28, 2018
31 2018 The principle of least cognitive action A Betti, M Gori
Theoretical Computer Science 633, 83-99, 2016
26 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
24 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
15 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
15 2020 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
11 2022 Learning visual features under motion invariance A Betti, M Gori, S Melacci
Neural Networks 126, 275-299, 2020
11 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
10 2022 Learning principles M Gori, A Betti, S Melacci
Machine Learning, 53-111, 2018
10 2018 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 Deep Learning to See: Towards New Foundations of Computer Vision A Betti, M Gori, S Melacci
Springer, 2022
8 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
8 2021 Convolutional networks in visual environments A Betti, M Gori
arXiv preprint arXiv:1801.07110, 2018
8 2018 On the Resurgence of Recurrent Models for Long Sequences--Survey and Research Opportunities in the Transformer Era M Tiezzi, M Casoni, A Betti, T Guidi, M Gori, S Melacci
arXiv preprint arXiv:2402.08132, 2024
7 2024 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
7 2023 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
7 2022 Motion invariance in visual environments A Betti, M Gori, S Melacci
arXiv preprint arXiv:1807.06450, 2018
6 2018 Foveated neural computation M Tiezzi, S Marullo, A Betti, E Meloni, L Faggi, M Gori, S Melacci
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
5 2022 
Marco GoriProfessor of Computer Science, University of SienaE-mail megerősítve itt: dii.unisi.it