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ORCIDGiulia Cisotto
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2020 – today
- 2024
[j9]Leonardo Badia
, Alberto Zancanaro, Giulia Cisotto, Andrea Munari:
Status update scheduling in remote sensing under variable activation and propagation delays. Ad Hoc Networks 163: 103583 (2024)- [j8]Giulia Cisotto, Davide Chicco:
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing. PeerJ Comput. Sci. 10: e2256 (2024) - 2023
- [j7]Alberto Zancanaro, Giulia Cisotto, Leonardo Badia:
Modeling Value of Information in remote sensing from correlated sources. Comput. Commun. 203: 289-297 (2023) - [j6]Alberto Zancanaro, Giulia Cisotto, Leonardo Badia:
Tackling Age of Information in Access Policies for Sensing Ecosystems. Sensors 23(7): 3456 (2023) - [c19]Alberto Zancanaro, Giulia Cisotto, Andrea Munari, Leonardo Badia:
Impact of Transmission Delays Over Age of Information Under Finite Horizon Scheduling. CAMAD 2023: 99-104 - [c18]Alberto Zancanaro, Italo Francesco Zoppis, Sara Manzoni, Giulia Cisotto:
vEEGNet: A New Deep Learning Model to Classify and Generate EEG. ICT4AWE 2023: 245-252 - [i12]Giulia Cisotto, Alberto Zancanaro, Italo Francesco Zoppis, Sara L. Manzoni:
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications. CoRR abs/2312.00799 (2023) - [i11]Alberto Zancanaro, Giulia Cisotto, Italo Zoppis, Sara Lucia Manzoni:
vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders. CoRR abs/2312.09449 (2023) - 2022
- [j5]Giulia Cisotto, Martina Capuzzo, Anna V. Guglielmi, Andrea Zanella:
Feature stability and setup minimization for EEG-EMG-enabled monitoring systems. EURASIP J. Adv. Signal Process. 2022(1): 103 (2022) - [c17]Daniele Scapin, Giulia Cisotto, Elvina Gindullina, Leonardo Badia:
Shapley Value as an Aid to Biomedical Machine Learning: a Heart Disease Dataset Analysis. CCGRID 2022: 933-939 - [c16]Lorenzo Pasini, Achille Policante, Daniele Rusmini, Giulia Cisotto, Elvina Gindullina, Leonardo Badia:
On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers. IWCMC 2022: 1136-1141 - [c15]Alberto Zancanaro, Giulia Cisotto, Leonardo Badia:
Modeling Value of Information in Remote Sensing from Correlated Sources. MedComNet 2022: 47-53 - 2021
- [j4]Giulia Bressan, Giulia Cisotto, Gernot R. Müller-Putz, Selina Christin Wriessnegger:
Deep Learning-Based Classification of Fine Hand Movements from Low Frequency EEG. Future Internet 13(5): 103 (2021) - [j3]Sergio Martiradonna, Giulia Cisotto, Gennaro Boggia, Giuseppe Piro, Lorenzo Vangelista, Stefano Tomasin:
Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare. IEEE Wirel. Commun. 28(3): 92-99 (2021) - [c14]Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes:
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet. CIBCB 2021: 1-7 - [c13]Anna V. Guglielmi, Alberto Muraro, Giulia Cisotto, Nicola Laurenti:
Information Theoretic Key Agreement Protocol based on ECG signals. GLOBECOM 2021: 1-6 - [c12]Giulia Cisotto:
REPAC: Reliable Estimation of Phase-Amplitude Coupling in Brain Networks. ICASSP 2021: 1075-1079 - [c11]Mattia Avanzi, Riccardo Coniglio, Giulia Cisotto, Marco Giordani, Nicola Ferro:
NoBis: A Crowd Monitoring Service Against COVID-19. IRCDL 2021: 126-137 - [i10]Giulia Cisotto, Andrea Trentini, Italo Zoppis, Alessio Zanga, Sara Manzoni, Giada Pietrabissa, Anna Guerrini Usubini, Gianluca Castelnuovo:
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens. CoRR abs/2102.08692 (2021) - [i9]Anna V. Guglielmi, Alberto Muraro, Giulia Cisotto, Nicola Laurenti:
Information Theoretic Key Agreement Protocol based on ECG signals. CoRR abs/2105.07037 (2021) - [i8]Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes:
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet. CoRR abs/2105.07917 (2021) - 2020
- [j2]Giulia Cisotto, Edoardo Casarin, Stefano Tomasin:
Requirements and Enablers of Advanced Healthcare Services over Future Cellular Systems. IEEE Commun. Mag. 58(3): 76-81 (2020) - [c10]Italo Zoppis, Alessio Zanga, Sara Manzoni, Giulia Cisotto, Angela Morreale, Fabio Stella, Giancarlo Mauri:
An Attention-based Architecture for EEG Classification. BIOSIGNALS 2020: 214-219 - [c9]Giulia Cisotto, Martina Capuzzo, Anna V. Guglielmi, Andrea Zanella:
Feature selection for gesture recognition in Internet-of-Things for healthcare. ICC 2020: 1-6 - [i7]Giulia Cisotto, Martina Capuzzo, Anna V. Guglielmi, Andrea Zanella:
Feature selection for gesture recognition in Internet-of-Things for healthcare. CoRR abs/2005.11031 (2020) - [i6]Andrea Zanella, Federico Mason, Patrik Pluchino, Giulia Cisotto, Valeria Orso, Luciano Gamberini:
Internet of Things for Elderly and Fragile People. CoRR abs/2006.05709 (2020) - [i5]Sergio Martiradonna, Giulia Cisotto, Gennaro Boggia, Giuseppe Piro, Lorenzo Vangelista, Stefano Tomasin:
Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare. CoRR abs/2010.03805 (2020) - [i4]Giulia Bressan, Selina Christin Wriessnegger, Giulia Cisotto:
Deep learning-based classification of fine hand movements from low frequency EEG. CoRR abs/2011.06791 (2020) - [i3]Giulia Cisotto:
REPAC: Reliable estimation of phase-amplitude coupling in brain networks. CoRR abs/2011.06878 (2020) - [i2]Giulia Cisotto, Alessio Zanga, Joanna Chlebus, Italo Zoppis, Sara Manzoni, Urszula Markowska-Kaczmar:
Comparison of Attention-based Deep Learning Models for EEG Classification. CoRR abs/2012.01074 (2020)
2010 – 2019
- 2019
- [c8]Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din:
Deep Learning Techniques for Improving Digital Gait Segmentation. EMBC 2019: 1834-1837 - [c7]Giulia Cisotto, Giulio Rosati, Alessandro Paccagnella:
A simple and accessible inkjet platform for ultra-short concept-to-prototype sEMG electrodes production. EMBC 2019: 5765-5768 - [i1]Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din:
Deep Learning Techniques for Improving Digital Gait Segmentation. CoRR abs/1907.04281 (2019) - 2018
- [c6]Giulia Cisotto, Anna V. Guglielmi, Leonardo Badia, Andrea Zanella:
Joint Compression of EEG and EMG Signals for Wireless Biometrics. GLOBECOM 2018: 1-6 - [c5]Giulia Cisotto, Anna V. Guglielmi, Leonardo Badia, Andrea Zanella:
Classification of grasping tasks based on EEG-EMG coherence. HealthCom 2018: 1-6 - 2016
- [c4]Giulia Cisotto, Leonardo Badia:
Cyber security of smart grids modeled through epidemic models in cellular automata. WoWMoM 2016: 1-6 - 2014
- [j1]Giulia Cisotto, Silvano Pupolin, Marianna Cavinato, Francesco Piccione:
An EEG-Based BCI Platform to Improve Arm Reaching Ability of Chronic Stroke Patients by Means of an Operant Learning Training with a Contingent Force Feedback. Int. J. E Health Medical Commun. 5(1): 114-134 (2014) - [c3]Giulia Cisotto, Silvano Pupolin, Francesco Piccione:
Comparison about EEG signals processing in BCI applications. VITAE 2014: 1-5 - 2013
- [c2]Giulia Cisotto, Silvano Pupolin, Stefano Silvoni, Francesco Piccione:
An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. Healthcom 2013: 280-282 - [c1]Giulia Cisotto, Silvano Pupolin, Stefano Silvoni, Marianna Cavinato, Michela Agostini, Francesco Piccione:
Brain-computer interface in chronic stroke: An application of sensorimotor closed-loop and contingent force feedback. ICC 2013: 4379-4383
Coauthor Index
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