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Antônio H. Ribeiro
Antônio H. Ribeiro
Sonstige NamenAntônio Horta Ribeiro
Assistant Professor, Uppsala University
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Titel
Zitiert von
Zitiert von
Jahr
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
305582020
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
7362020
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
1292020
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
1262021
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
722019
On the smoothness of nonlinear system identification
AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre
Automatica 121, 109158, 2020
682020
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
582019
Automated multilabel diagnosis on electrocardiographic images and signals
V Sangha, BJ Mortazavi, AD Haimovich, AH Ribeiro, CA Brandt, ...
Nature communications 13 (1), 1583, 2022
572022
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
472021
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
432023
How Convolutional Neural Networks Deal with Aliasing
AH Ribeiro, TB Schön
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
242021
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
232022
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
202023
“Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training
AH Ribeiro, LA Aguirre
Neurocomputing 316, 222-231, 2018
202018
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
192023
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
162020
Overparameterized Linear Regression under Adversarial Attacks
AH Ribeiro, TB Schön
IEEE Transactions on Signal Processing, 2023
152023
Deep Energy-Based NARX Models
JN Hendriks, FK Gustafsson, AH Ribeiro, AG Wills, TB Schön
IFAC-PapersOnLine 54 (7), 505-510, 2021
152021
Shooting methods for parameter estimation of output error models
AH Ribeiro, LA Aguirre
IFAC-PapersOnLine 50 (1), 13998-14003, 2017
132017
Selecting Transients Automatically for the Identification of Models for an Oil Well
AH Ribeiro, LA Aguirre
IFAC-PapersOnLine 48 (6), 154-158, 2015
122015
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