Giulia Barbati

According to our database, Giulia Barbati authored at least 11 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Data Science and Artificial Intelligence for Life Sciences at the University of Trieste.

Giulia Barbati, Luca Bortolussi, Giulio Caravagna

Proceedings of the Italia Intelligenza Artificiale, 2023

Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data.

Giovanni Baj, Arjuna Scagnetto, Luca Bortolussi, Giulia Barbati

Proceedings of the Progress in Artificial Intelligence, 2023

2022

Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG.

Arjuna Scagnetto, Giulia Barbati, Ilaria Gandin, C. Cappelletto, Giovanni Baj, Alberto Cazzaniga, Francesca Cuturello, Alessio Ansuini, Luca Bortolussi, A. Di Lenarda

CoRR, 2022

2021

Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit.

Ilaria Gandin, Arjuna Scagnetto, Simona Romani, Giulia Barbati

J. Biomed. Informatics, 2021

2018

Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy.

Giulia Barbati, Alessio Farcomeni

Stat. Methods Appl., 2018

2012

Robust Gamma regression models for the analysis of health care cost data.

Michele Petrinco, Giulia Barbati, Danielle Meylan, Eva Pagano, Dario Gregori, Franco Merletti, Alfio Marazzi

Model. Assist. Stat. Appl., 2012

2008

High-gamma band activity of primary hand cortical areas: A sensorimotor feedback efficiency index.

Franca Tecchio, Filippo Zappasodi, Camillo Porcaro, Giulia Barbati, Giovanni Assenza, Carlo Salustri, Paolo Maria Rossini

NeuroImage, 2008

2007

Somatosensory dynamic gamma-band synchrony: A neural code of sensorimotor dexterity.

Franca Tecchio, Sara Graziadio, Giulia Barbati, Roberto Sigismondi, Filippo Zappasodi, Camillo Porcaro, Giancarlo Valente, Marco Balsi, Paolo Maria Rossini

NeuroImage, 2007

2005

Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separation.

Carlo Salustri, Giulia Barbati, Camillo Porcaro

IEEE Trans. Biomed. Eng., 2005

An ICA Approach to Detect Functionally Different Intra-regional Neuronal Signals in MEG Data.

Giulia Barbati, Camillo Porcaro, Filippo Zappasodi, Franca Tecchio

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004

"Signal Subspace" Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction.

Giulia Barbati, Camillo Porcaro, Carlo Salustri

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004