| Modeling value of information in remote sensing from correlated sources A Zancanaro, G Cisotto, L Badia Computer Communications, 2023 | 28 | 2023 |
| CNN-based approaches for cross-subject classification in motor imagery: From the state-of-the-art to DynamicNet A Zancanaro, G Cisotto, JR Paulo, G Pires, UJ Nunes 2021 IEEE conference on computational intelligence in bioinformatics and …, 2021 | 27 | 2021 |
| Challenges of the age of information paradigm for metrology in cyberphysical ecosystems A Zancanaro, G Cisotto, L Badia 2022 IEEE International Workshop on Metrology for Living Environment …, 2022 | 13 | 2022 |
| Tackling age of information in access policies for sensing ecosystems A Zancanaro, G Cisotto, L Badia Sensors 23 (7), 3456, 2023 | 8 | 2023 |
| Analytical evaluation of age of information in networks of correlated sources L Crosara, A Zancanaro, G Cisotto, N Laurenti, L Badia 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor …, 2022 | 7 | 2022 |
| veegnet: A new deep learning model to classify and generate eeg A Zancanaro, I Zoppis, S Manzoni, G Cisotto Proceedings of the 9th International Conference on Information and …, 2023 | 4 | 2023 |
| Variational autoencoder for early stress detection in smart agriculture: A pilot study A Zancanaro, G Cisotto, DD Tegegn, SL Manzoni, I Reguzzoni, E Lotti, ... 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor …, 2022 | 4 | 2022 |
| Impact of transmission delays over age of information under finite horizon scheduling A Zancanaro, G Cisotto, A Munari, L Badia 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design …, 2023 | 3 | 2023 |
| Status update scheduling in remote sensing under variable activation and propagation delays L Badia, A Zancanaro, G Cisotto, A Munari Ad Hoc Networks 163, 103583, 2024 | 2 | 2024 |
| hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications G Cisotto, A Zancanaro, I Zoppis, S Manzoni | 1 | 2023 |
| An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit G Cisotto, DD Tegegn, A Zancanaro, I Reguzzoni, E Lotti, SL Manzoni, ... | | 2024 |
| vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders A Zancanaro, G Cisotto, I Zoppis, SL Manzoni International Conference on Information and Communication Technologies for …, 2023 | | 2023 |
| HvEEGNet: A New Deep Learning Model for High-Fidelity EEG Reconstruction G Cisotto, A Zancanaro, I Zoppis, S Manzoni Available at SSRN 4725025, 0 | | |
Giulia CisottoUniversity of Milan-Bicocca - Dept. Informatics, Systems and Communication在 unimib.it 的电子邮件经过验证
