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Alberto Zancanaro
Alberto Zancanaro
PhD student, University of Padua
Adresă de e-mail confirmată pe phd.unipd.it - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Modeling value of information in remote sensing from correlated sources
A Zancanaro, G Cisotto, L Badia
Computer Communications, 2023
262023
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
232021
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
132022
Tackling age of information in access policies for sensing ecosystems
A Zancanaro, G Cisotto, L Badia
Sensors 23 (7), 3456, 2023
72023
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
72022
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
32023
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
32022
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
22023
Status update scheduling in remote sensing under variable activation and propagation delays
L Badia, A Zancanaro, G Cisotto, A Munari
Ad Hoc Networks, 103583, 2024
2024
vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
A Zancanaro, G Cisotto, I Zoppis, SL Manzoni
arXiv preprint arXiv:2312.09449, 2023
2023
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications
G Cisotto, A Zancanaro, I Zoppis, S Manzoni
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
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