LAGANI, GABRIELE
LAGANI, GABRIELE
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
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Biologically-inspired semi-supervised semantic segmentation for biomedical imaging
2026 Ciampi, Luca; Lagani, Gabriele; Amato, Giuseppe; Falchi, Fabrizio
Scalable bio-inspired training of Deep Neural Networks with FastHebb
2024 Lagani, G.; Falchi, F.; Gennaro, C.; Fassold, H.; Amato, G.
Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks
2022 Lagani, G; Falchi, F; Gennaro, C; Amato, G
Hebbian semi-supervised learning in a sample efficiency setting
2021 Lagani, G; Falchi, F; Gennaro, C; Amato, G
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Biologically-inspired semi-supervised semantic segmentation for biomedical imaging | 1-gen-2026 | Ciampi, Luca; Lagani, Gabriele; Amato, Giuseppe; Falchi, Fabrizio | |
| Scalable bio-inspired training of Deep Neural Networks with FastHebb | 1-gen-2024 | Lagani, G.; Falchi, F.; Gennaro, C.; Fassold, H.; Amato, G. | |
| Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks | 1-gen-2022 | Lagani, G; Falchi, F; Gennaro, C; Amato, G | |
| Hebbian semi-supervised learning in a sample efficiency setting | 1-gen-2021 | Lagani, G; Falchi, F; Gennaro, C; Amato, G |