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ORCIDGiulia Barbati
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2020 – today
- 2023
[c4]Giovanni Baj
, Arjuna Scagnetto, Luca Bortolussi, Giulia Barbati:
Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data. EPIA (2) 2023: 222-233- [c3]Giulia Barbati, Luca Bortolussi, Giulio Caravagna:
Data Science and Artificial Intelligence for Life Sciences at the University of Trieste. Ital-IA 2023: 124-127 - 2022
- [i1]Arjuna Scagnetto, Giulia Barbati, Ilaria Gandin, C. Cappelletto, Giovanni Baj, Alberto Cazzaniga, Francesca Cuturello, Alessio Ansuini, Luca Bortolussi, A. Di Lenarda:
Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG. CoRR abs/2202.05676 (2022) - 2021
- [j6]Ilaria Gandin, Arjuna Scagnetto, Simona Romani, Giulia Barbati:
Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit. J. Biomed. Informatics 121: 103876 (2021)
2010 – 2019
- 2018
- [j5]Giulia Barbati, Alessio Farcomeni:
Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy. Stat. Methods Appl. 27(3): 545-557 (2018) - 2012
- [j4]Michele Petrinco, Giulia Barbati, Danielle Meylan, Eva Pagano, Dario Gregori, Franco Merletti, Alfio Marazzi:
Robust Gamma regression models for the analysis of health care cost data. Model. Assist. Stat. Appl. 7(2): 115-124 (2012)
2000 – 2009
- 2008
- [j3]Franca Tecchio, Filippo Zappasodi, Camillo Porcaro, Giulia Barbati, Giovanni Assenza, Carlo Salustri, Paolo Maria Rossini:
High-gamma band activity of primary hand cortical areas: A sensorimotor feedback efficiency index. NeuroImage 40(1): 256-264 (2008) - 2007
- [j2]Franca Tecchio, Sara Graziadio, Giulia Barbati, Roberto Sigismondi, Filippo Zappasodi, Camillo Porcaro, Giancarlo Valente, Marco Balsi, Paolo Maria Rossini:
Somatosensory dynamic gamma-band synchrony: A neural code of sensorimotor dexterity. NeuroImage 35(1): 185-193 (2007) - 2005
- [j1]Carlo Salustri, Giulia Barbati, Camillo Porcaro:
Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separation. IEEE Trans. Biomed. Eng. 52(6): 1140-1142 (2005) - [c2]Giulia Barbati, Camillo Porcaro, Filippo Zappasodi, Franca Tecchio:
An ICA Approach to Detect Functionally Different Intra-regional Neuronal Signals in MEG Data. IWANN 2005: 1083-1090 - 2004
- [c1]Giulia Barbati, Camillo Porcaro, Carlo Salustri:
"Signal Subspace" Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction. ICA 2004: 1087-1094
Coauthor Index
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