| 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 | 248 | 2020 |
| Evaluating model calibration in classification J Vaicenavicius, D Widmann, C Andersson, F Lindsten, J Roll, T Schön The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 86 | 2019 |
| Deep learning and system identification L Ljung, C Andersson, K Tiels, TB Schön IFAC-PapersOnLine 53 (2), 1175-1181, 2020 | 40 | 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 | 26 | 2019 |
| Automatic diagnosis of the 12-lead ECG using a deep neural network. Nat Commun. 2020; 11: 1760 AH Ribeiro, MH Ribeiro, GMM Paixão, DM Oliveira, PR Gomes, ... Přejít k původnímu zdroji... Přejít na PubMed, 0 | 7 | |
| Data-driven impulse response regularization via deep learning C Andersson, N Wahlström, TB Schön IFAC-PapersOnLine 51 (15), 1-6, 2018 | 3 | 2018 |
| Automatic diagnosis of the short-duration 12-lead ECG using a deep neural network: The code study AH Ribeiro, MH Ribeiro, GM Paixão, DM Oliveira, PR Gomes, ... arXiv preprint arXiv:1904.01949, 0 | 3 | |
| Learning deep autoregressive models for hierarchical data CR Andersson, N Wahlström, TB Schön IFAC-PapersOnLine 54 (7), 529-534, 2021 | 1 | 2021 |
| Deep learning applied to system identification: A probabilistic approach C Andersson Uppsala University, 2019 | 1 | 2019 |
| Seamless Automatic Projector Calibration of Large Immersive Displays using Gray Code C Andersson | 1 | 2013 |
| Deep probabilistic models for sequential and hierarchical data C Andersson Acta Universitatis Upsaliensis, 2022 | | 2022 |
| Deep Convolutional Networks are Useful in System Identification AH Ribeiro, C Andersson, K Tiels, N Wahlström, TB Schön | | |
