Antônio H. Ribeiro
Antônio H. Ribeiro
Other namesAntônio Horta Ribeiro
Assistant Professor, Uppsala University
Verified email at - Homepage
Cited by
Cited by
SciPy 1.0: fundamental algorithms for scientific computing in Python
P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ...
Nature methods 17 (3), 261-272, 2020
Automatic diagnosis of the 12-lead ECG using a deep neural network
AH Ribeiro, MH Ribeiro, GMM Paixão, DM Oliveira, PR Gomes, ...
Nature communications 11 (1), 1-9, 2020
Deep neural network-estimated electrocardiographic age as a mortality predictor
EM Lima, AH Ribeiro, GMM Paixão, MH Ribeiro, MM Pinto-Filho, ...
Nature communications 12 (1), 5117, 2021
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
AH Ribeiro, K Tiels, LA Aguirre, T Schön
International Conference on Artificial Intelligence and Statistics, 2370-2380, 2020
Deep convolutional networks in system identification
C Andersson, AH Ribeiro, K Tiels, N Wahlström, TB Schön
2019 IEEE 58th Conference on Decision and Control (CDC), 3670-3676, 2019
On the smoothness of nonlinear system identification
AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre
Automatica 121, 109158, 2020
Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study
ALP Ribeiro, GMM Paixão, PR Gomes, MH Ribeiro, AH Ribeiro, ...
Journal of electrocardiology 57, S75-S78, 2019
Automated multilabel diagnosis on electrocardiographic images and signals
V Sangha, BJ Mortazavi, AD Haimovich, AH Ribeiro, CA Brandt, ...
Nature communications 13 (1), 1583, 2022
Atrial fibrillation risk prediction from the 12-lead electrocardiogram using digital biomarkers and deep representation learning
S Biton, S Gendelman, AH Ribeiro, G Miana, C Moreira, ALP Ribeiro, ...
European Heart Journal-Digital Health 2 (4), 576-585, 2021
Detection of left ventricular systolic dysfunction from electrocardiographic images
V Sangha, AA Nargesi, LS Dhingra, A Khunte, BJ Mortazavi, AH Ribeiro, ...
Circulation 148 (9), 765-777, 2023
How Convolutional Neural Networks Deal with Aliasing
AH Ribeiro, TB Schön
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
S Gustafsson, D Gedon, E Lampa, AH Ribeiro, MJ Holzmann, TB Schön, ...
Scientific Reports 12 (1), 19615, 2022
“Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training
AH Ribeiro, LA Aguirre
Neurocomputing 316, 222-231, 2018
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG
E Zvuloni, J Read, AH Ribeiro, ALP Ribeiro, JA Behar
IEEE Transactions on Biomedical Engineering, 2023
Deep networks for system identification: a Survey
G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön
arXiv preprint arXiv:2301.12832, 2023
Evaluation of Mortality in Atrial Fibrillation: Clinical Outcomes in Digital Electrocardiography (CODE) Study
GMM Paixão, LGS Silva, PR Gomes, EM Lima, MPF Ferreira, DM Oliveira, ...
Global Heart 15 (1), 2020
Overparameterized Linear Regression under Adversarial Attacks
AH Ribeiro, TB Schön
IEEE Transactions on Signal Processing, 2023
Deep Energy-Based NARX Models
JN Hendriks, FK Gustafsson, AH Ribeiro, AG Wills, TB Schön
IFAC-PapersOnLine 54 (7), 505-510, 2021
Shooting methods for parameter estimation of output error models
AH Ribeiro, LA Aguirre
IFAC-PapersOnLine 50 (1), 13998-14003, 2017
Selecting Transients Automatically for the Identification of Models for an Oil Well
AH Ribeiro, LA Aguirre
IFAC-PapersOnLine 48 (6), 154-158, 2015
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