Antônio H. Ribeiro

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Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Derick M. OliveiraUniversidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Manoel Horta RibeiroPrincetonVerified email at cs.princeton.edu
Peter MacfarlaneEmeritus Professor of ElectrocardiologyVerified email at glasgow.ac.uk
Luis A. AguirreUniversidade Federal de Minas GeraisVerified email at ufmg.br
Carl AnderssonUppsala UniversityVerified email at it.uu.se
Daniel GedonPostdoctoral Fellow, Tübingen UniversityVerified email at uni-tuebingen.de
Sandhi M BarretoUniversidade Federal de Minas GeraisVerified email at medicina.ufmg.br
Ester Cerdeira SabinoFull Professor Department of Pathology, Faculdade de Medicina da Universidade de Sao PauloVerified email at usp.br
Koen TielsLecturer, Eindhoven University of Technology (TU/e)Verified email at tue.nl
Niklas WahlströmAssociate Professor, Uppsala University, SwedenVerified email at it.uu.se
Arunashis SauImperial College LondonVerified email at ic.ac.uk
Fu Siong NgImperial College LondonVerified email at imperial.ac.uk
Bruce Bartholow DuncanUniversidade Federal do Rio Grande do SulVerified email at ufrgs.br
Joachim A. BeharAssociate Professor, Technion-IITVerified email at technion.ac.il
James S. WareProfessor of Cardiovascular and Genomic Medicine, Imperial College LondonVerified email at imperial.ac.uk
Kathryn McGurkCardiovascular Geneticist, Imperial College LondonVerified email at tcd.ie
Cynthia BrandtProfessor, Yale University; VA ConnecticutVerified email at yale.edu
Harlan KrumholzYale UniversityVerified email at yale.edu
Bobak J. MortazaviComputer Science & Engineering, Texas A&MVerified email at tamu.edu

Antônio H. Ribeiro

Other namesAntônio Horta Ribeiro

Assistant Professor, Uppsala University

Verified email at it.uu.se - Homepage

Machine learning Signal processing Biomedical Informatics System identification AI for Medicine


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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	35058	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	849	2020
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	166	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	155	2021
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	78	2019
On the smoothness of nonlinear system identification AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre Automatica 121, 109158, 2020	77	2020
Automated multilabel diagnosis on electrocardiographic images and signals V Sangha, BJ Mortazavi, AD Haimovich, AH Ribeiro, CA Brandt, ... Nature communications 13 (1), 1583, 2022	76	2022
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	67	2023
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	66	2019
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	53	2021
Deep networks for system identification: a survey G Pillonetto, A Aravkin, D Gedon, L Ljung, AH Ribeiro, TB Schön Automatica 171, 111907, 2025	35	2025
How Convolutional Neural Networks Deal with Aliasing AH Ribeiro, TB Schön ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	27	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	24	2022
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	23	2023
“Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training AH Ribeiro, LA Aguirre Neurocomputing 316, 222-231, 2018	23	2018
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	18	2020
Overparameterized Linear Regression under Adversarial Attacks AH Ribeiro, TB Schön IEEE Transactions on Signal Processing, 2023	17	2023
Deep Energy-Based NARX Models JN Hendriks, FK Gustafsson, AH Ribeiro, AG Wills, TB Schön IFAC-PapersOnLine 54 (7), 505-510, 2021	16	2021
Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study LCC Brant, AH Ribeiro, MM Pinto-Filho, J Kornej, SR Preis, JL Fetterman, ... Circulation: Cardiovascular Quality and Outcomes 16 (7), e009821, 2023	14	2023
Shooting methods for parameter estimation of output error models AH Ribeiro, LA Aguirre IFAC-PapersOnLine 50 (1), 13998-14003, 2017	14	2017

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