Arjuna Scagnetto

According to our database, Arjuna Scagnetto authored at least 3 papers between 2021 and 2023.

Collaborative distances:

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

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