An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. - Giulia Cisotto; Silvano Pupolin; Stefano Silvoni; Francesco Piccione (Healthcom, 2013)

Brain-computer interface in chronic stroke: An application of sensorimotor closed-loop and contingent force feedback. - Giulia Cisotto; Silvano Pupolin; Stefano Silvoni; Marianna Cavinato; Michela Agostini; Francesco Piccione (ICC, 2013)

Comparison about EEG signals processing in BCI applications. - Giulia Cisotto; Silvano Pupolin; Francesco Piccione (VITAE, 2014)

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. - Giulia Cisotto; Silvano Pupolin; Marianna Cavinato; Francesco Piccione (Int. J. E Health Medical Commun., 2014)

Cyber security of smart grids modeled through epidemic models in cellular automata. - Giulia Cisotto; Leonardo Badia (WoWMoM, 2016)

Joint Compression of EEG and EMG Signals for Wireless Biometrics. - Giulia Cisotto; Anna V. Guglielmi; Leonardo Badia; Andrea Zanella (GLOBECOM, 2018)

Classification of grasping tasks based on EEG-EMG coherence. - Giulia Cisotto; Anna V. Guglielmi; Leonardo Badia; Andrea Zanella (HealthCom, 2018)

A simple and accessible inkjet platform for ultra-short concept-to-prototype sEMG electrodes production. - Giulia Cisotto; Giulio Rosati; Alessandro Paccagnella (EMBC, 2019)

Deep Learning Techniques for Improving Digital Gait Segmentation. - Matteo Gadaleta; Giulia Cisotto; Michele Rossi; Rana Zia Ur Rehman; Lynn Rochester; Silvia Del Din (EMBC, 2019)

An Attention-based Architecture for EEG Classification. - Italo Zoppis; Alessio Zanga; Sara Manzoni; Giulia Cisotto; Angela Morreale; Fabio Stella; Giancarlo Mauri (BIOSIGNALS, 2020)

Feature selection for gesture recognition in Internet-of-Things for healthcare. - Giulia Cisotto; Martina Capuzzo; Anna V. Guglielmi; Andrea Zanella (ICC, 2020)

Requirements and Enablers of Advanced Healthcare Services over Future Cellular Systems. - Giulia Cisotto; Edoardo Casarin; Stefano Tomasin (IEEE Commun. Mag., 2020)

Internet of Things for Elderly and Fragile People. - Andrea Zanella; Federico Mason; Patrik Pluchino; Giulia Cisotto; Valeria Orso; Luciano Gamberini (CoRR, 2020)

Deep learning-based classification of fine hand movements from low frequency EEG. - Giulia Bressan; Selina Christin Wriessnegger; Giulia Cisotto (CoRR, 2020)

Comparison of Attention-based Deep Learning Models for EEG Classification. - Giulia Cisotto; Alessio Zanga; Joanna Chlebus; Italo Zoppis; Sara Manzoni; Urszula Markowska-Kaczmar (CoRR, 2020)

CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet. - Alberto Zancanaro; Giulia Cisotto; João Ruivo Paulo; Gabriel Pires; Urbano J. Nunes (CIBCB, 2021)

Information Theoretic Key Agreement Protocol based on ECG signals. - Anna V. Guglielmi; Alberto Muraro; Giulia Cisotto; Nicola Laurenti (GLOBECOM, 2021)

REPAC: Reliable Estimation of Phase-Amplitude Coupling in Brain Networks. - Giulia Cisotto (ICASSP, 2021)

NoBis: A Crowd Monitoring Service Against COVID-19. - Mattia Avanzi; Riccardo Coniglio; Giulia Cisotto; Marco Giordani; Nicola Ferro 001 (IRCDL, 2021)

ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens. - Giulia Cisotto; Andrea Trentini; Italo Zoppis; Alessio Zanga; Sara Manzoni; Giada Pietrabissa; Anna Guerrini Usubini; Gianluca Castelnuovo (CoRR, 2021)

Deep Learning-Based Classification of Fine Hand Movements from Low Frequency EEG. - Giulia Bressan; Giulia Cisotto; Gernot R. Müller-Putz; Selina Christin Wriessnegger (Future Internet, 2021)

Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare. - Sergio Martiradonna; Giulia Cisotto; Gennaro Boggia; Giuseppe Piro; Lorenzo Vangelista; Stefano Tomasin (IEEE Wirel. Commun., 2021)

Shapley Value as an Aid to Biomedical Machine Learning: a Heart Disease Dataset Analysis. - Daniele Scapin; Giulia Cisotto; Elvina Gindullina; Leonardo Badia (CCGRID, 2022)

On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers. - Lorenzo Pasini; Achille Policante; Daniele Rusmini; Giulia Cisotto; Elvina Gindullina; Leonardo Badia (IWCMC, 2022)

Feature stability and setup minimization for EEG-EMG-enabled monitoring systems. - Giulia Cisotto; Martina Capuzzo; Anna V. Guglielmi; Andrea Zanella (EURASIP J. Adv. Signal Process., 2022)

Impact of Transmission Delays Over Age of Information Under Finite Horizon Scheduling. - Alberto Zancanaro; Giulia Cisotto; Andrea Munari; Leonardo Badia (CAMAD, 2023)

vEEGNet: A New Deep Learning Model to Classify and Generate EEG. - Alberto Zancanaro; Italo Francesco Zoppis; Sara Manzoni; Giulia Cisotto (ICT4AWE, 2023)

hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications. - Giulia Cisotto; Alberto Zancanaro; Italo Francesco Zoppis; Sara L. Manzoni (CoRR, 2023)

vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders. - Alberto Zancanaro; Giulia Cisotto; Italo Zoppis; Sara Lucia Manzoni (CoRR, 2023)

Modeling Value of Information in remote sensing from correlated sources. - Alberto Zancanaro; Giulia Cisotto; Leonardo Badia (Comput. Commun., 2023)

Tackling Age of Information in Access Policies for Sensing Ecosystems. - Alberto Zancanaro; Giulia Cisotto; Leonardo Badia (Sensors, 2023)

The Impact of Mis-Labeled Artefacts on Deep Learning Models for EEG Analysis: a Case Study. - Alberto Zancanaro; Giulia Cisotto (CIBB, 2024)

An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit. - Giulia Cisotto; Tegegn Dagmawi Delelegn; Alberto Zancanaro; Ivan Reguzzoni; Edoardo Lotti; Sara L. Manzoni; Italo Francesco Zoppis (FedCSIS, 2024)

Status update scheduling in remote sensing under variable activation and propagation delays. - Leonardo Badia; Alberto Zancanaro; Giulia Cisotto; Andrea Munari (Ad Hoc Networks, 2024)

hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction. - Giulia Cisotto; Alberto Zancanaro; Italo Francesco Zoppis; Sara L. Manzoni (Frontiers Neuroinformatics, 2024)

Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing. - Giulia Cisotto; Davide Chicco (PeerJ Comput. Sci., 2024)