| 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 | 18120 | 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 | 422 | 2020 |
| Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nature methods 17 (3), 352, 2020 | 61 | 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 | 60 | 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 | 51 | 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 | 46 | 2019 |
| On the smoothness of nonlinear system identification AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre Automatica 121, 109158, 2020 | 44 | 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 | 40 | 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 | 20 | 2021 |
| “Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training AH Ribeiro, LA Aguirre Neurocomputing 316, 222-231, 2018 | 18 | 2018 |
| Automated multilabel diagnosis on electrocardiographic images and signals V Sangha, BJ Mortazavi, AD Haimovich, AH Ribeiro, CA Brandt, ... Nature communications 13 (1), 1583, 2022 | 14 | 2022 |
| 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 | 11 | 2020 |
| Selecting Transients Automatically for the Identification of Models for an Oil Well AH Ribeiro, LA Aguirre IFAC-PapersOnLine 48 (6), 154-158, 2015 | 11 | 2015 |
| Evaluation of mortality in bundle branch block patients from an electronic cohort: Clinical Outcomes in Digital Electrocardiography (CODE) study GMM Paixão, EM Lima, PR Gomes, MPF Ferreira, DM Oliveira, ... Journal of electrocardiology 57, S56-S60, 2019 | 9 | 2019 |
| Automatic diagnosis of the short-duration 12-lead ECG using a deep neural network: The code study AH Ribeiro, MH Ribeiro, GMM Paixão, DM Oliveira, PR Gomes, ... arXiv preprint arXiv:1904.01949, 2019 | 9* | 2019 |
| Shooting methods for parameter estimation of output error models AH Ribeiro, LA Aguirre IFAC-PapersOnLine 50 (1), 13998-14003, 2017 | 9 | 2017 |
| Contextualized interpretable machine learning for medical diagnosis W Meira Jr, ALP Ribeiro, DM Oliveira, AH Ribeiro Communications of the ACM 63 (11), 56-58, 2020 | 8 | 2020 |
| How Convolutional Neural Networks Deal with Aliasing AH Ribeiro, TB Schön ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
| Beyond occam’s razor in system identification: Double-descent when modeling dynamics AH Ribeiro, JN Hendriks, AG Wills, TB Schön IFAC-PapersOnLine 54 (7), 97-102, 2021 | 7 | 2021 |
| Deep Energy-Based NARX Models JN Hendriks, FK Gustafsson, AH Ribeiro, AG Wills, TB Schön IFAC-PapersOnLine 54 (7), 505-510, 2021 | 7 | 2021 |
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
