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ORCIDAntônio H. Ribeiro
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2020 – today
- 2025
[j8]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: A survey. Autom. 171: 111907 (2025)- 2024
- [j7]Libor Pastika
, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng:
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. npj Digit. Medicine 7(1) (2024) - [c10]Daniel Gedon, Antônio H. Ribeiro, Thomas B. Schön:
No Double Descent in Principal Component Regression: A High-Dimensional Analysis. ICML 2024 - [i20]Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis Bach:
Efficient Optimization Algorithms for Linear Adversarial Training. CoRR abs/2410.12677 (2024) - 2023
- [j6]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. 30: 563-567 (2023) - [j5]Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar:
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG. IEEE Trans. Biomed. Eng. 70(7): 2227-2236 (2023) - [j4]Antônio H. Ribeiro, Thomas B. Schön:
Overparameterized Linear Regression Under Adversarial Attacks. IEEE Trans. Signal Process. 71: 601-614 (2023) - [c9]Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön:
Regularization properties of adversarially-trained linear regression. NeurIPS 2023 - [i19]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: a Survey. CoRR abs/2301.12832 (2023) - [i18]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
Invertible Kernel PCA with Random Fourier Features. CoRR abs/2303.05043 (2023) - [i17]Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön:
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR abs/2309.16335 (2023) - [i16]Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön:
Regularization properties of adversarially-trained linear regression. CoRR abs/2310.10807 (2023) - 2022
- [i15]Antônio H. Ribeiro, Thomas B. Schön:
Overparameterized Linear Regression under Adversarial Attacks. CoRR abs/2204.06274 (2022) - [i14]Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön:
Surprises in adversarially-trained linear regression. CoRR abs/2205.12695 (2022) - [i13]Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar:
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG. CoRR abs/2207.06096 (2022) - [i12]Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön:
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. CoRR abs/2212.13890 (2022) - 2021
- [c8]Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön:
First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC 2021: 1-4 - [c7]Antônio H. Ribeiro, Thomas B. Schön:
How Convolutional Neural Networks Deal with Aliasing. ICASSP 2021: 2755-2759 - [d6]Antônio H. Ribeiro, Gabriela M. M. Paixão, Emilly M. Lima, Manoel Horta Ribeiro, Marcelo M. Pinto Filho, Paulo R. Gomes, Derick M. de Oliveira, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
CODE-15%: a large scale annotated dataset of 12-lead ECGs. Zenodo, 2021
- [d5]Antônio Luiz P. Ribeiro, Antônio H. Ribeiro, Gabriela M. M. Paixão, Emilly M. Lima, Manoel Horta Ribeiro, Marcelo M. Pinto Filho, Paulo R. Gomes, Derick M. de Oliveira, Wagner Meira Jr., Thomas B. Schön, Ester C. Sabino:
Sami-Trop: 12-lead ECG traces with age and mortality annotations. Zenodo, 2021 - [i11]Antônio H. Ribeiro, Thomas B. Schön:
How Convolutional Neural Networks Deal with Aliasing. CoRR abs/2102.07757 (2021) - 2020
- [j3]Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre:
On the smoothness of nonlinear system identification. Autom. 121: 109158 (2020) - [j2]Wagner Meira Jr., Antônio Luiz P. Ribeiro, Derick M. de Oliveira, Antônio H. Ribeiro:
Contextualized interpretable machine learning for medical diagnosis. Commun. ACM 63(11): 56-58 (2020) - [c6]Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön:
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness. AISTATS 2020: 2370-2380 - [c5]Derick M. de Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M. M. Paixão, Antônio Luiz P. Ribeiro, Wagner Meira Jr.:
Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists. CinC 2020: 1-4 - [c4]Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.:
Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble. CinC 2020: 1-4 - [c3]Derick M. de Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M. M. Paixão, Antônio Luiz P. Ribeiro, Wagner Meira Jr.:
Explaining End-to-End ECG Automated Diagnosis Using Contextual Features. ECML/PKDD (5) 2020: 204-219 - [d4]Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Annotated 12 lead ECG dataset. Version v1.0. Zenodo, 2020 [all versions] - [d3]Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Annotated 12-lead ECG dataset. Version v1.0.1. Zenodo, 2020 [all versions] - [d2]Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Annotated 12-lead ECG dataset. Version v1.0.2. Zenodo, 2020 [all versions] - [d1]Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
CODE-test: An annotated 12-lead ECG dataset. Version v1.0.3. Zenodo, 2020 [all versions] - [i10]Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön:
Deep Energy-Based NARX Models. CoRR abs/2012.04136 (2020) - [i9]Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön:
Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. CoRR abs/2012.06341 (2020)
2010 – 2019
- 2019
- [c2]Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön:
Deep Convolutional Networks in System Identification. CDC 2019: 3670-3676 - [i8]Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study. CoRR abs/1904.01949 (2019) - [i7]Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre:
On the Smoothness of Nonlinear System Identification. CoRR abs/1905.00820 (2019) - [i6]Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön:
The trade-off between long-term memory and smoothness for recurrent networks. CoRR abs/1906.08482 (2019) - [i5]Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors:
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. CoRR abs/1907.10121 (2019) - [i4]Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön:
Deep Convolutional Networks in System Identification. CoRR abs/1909.01730 (2019) - 2018
- [j1]Antônio H. Ribeiro, Luis Antonio Aguirre:
"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training. Neurocomputing 316: 222-231 (2018) - [c1]Antônio H. Ribeiro, Luis Antonio Aguirre:
Lasso Regularization Paths for NARMAX Models via Coordinate Descent. ACC 2018: 5268-5273 - [i3]Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network. CoRR abs/1811.12194 (2018) - 2017
- [i2]Antônio H. Ribeiro, Luis Antonio Aguirre:
"Parallel Training Considered Harmful?": Comparing Series-Parallel and Parallel Feedforward Network Training. CoRR abs/1706.07119 (2017) - [i1]Antônio H. Ribeiro, Luis Antonio Aguirre:
Lasso Regularization Paths for NARMAX Models via Coordinate Descent. CoRR abs/1710.00598 (2017)
Coauthor Index
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