Antônio H. Ribeiro

According to our database, Antônio H. Ribeiro authored at least 25 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar

IEEE Trans. Biomed. Eng., July, 2023

Overparameterized Linear Regression Under Adversarial Attacks.

Antônio H. Ribeiro, Thomas B. Schön

IEEE Trans. Signal Process., 2023

Invertible Kernel PCA With Random Fourier Features.

Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön

IEEE Signal Process. Lett., 2023

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks.

Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön

CoRR, 2023

Deep networks for system identification: a Survey.

Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön

CoRR, 2023

Regularization properties of adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods.

Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön

CoRR, 2022

Surprises in adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön

CoRR, 2022

2021

How Convolutional Neural Networks Deal with Aliasing.

Antônio H. Ribeiro, Thomas B. Schön

Proceedings of the IEEE International Conference on Acoustics, 2021

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG.

Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics.

Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön

CoRR, 2020

Deep Energy-Based NARX Models.

Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön

CoRR, 2020

Contextualized interpretable machine learning for medical diagnosis.

Wagner Meira Jr., Antônio Luiz P. Ribeiro, Derick M. de Oliveira, Antônio H. Ribeiro

Commun. ACM, 2020

On the smoothness of nonlinear system identification.

Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre

Autom., 2020

Explaining End-to-End ECG Automated Diagnosis Using Contextual Features.

Derick M. de Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M. M. Paixão, Antônio Luiz P. Ribeiro, Wagner Meira Jr.

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble.

Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.

Proceedings of the Computing in Cardiology, 2020

Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists.

Derick M. de Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M. M. Paixão, Antônio Luiz P. Ribeiro, Wagner Meira Jr.

Proceedings of the Computing in Cardiology, 2020

Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness.

Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.

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

CoRR, 2019

The trade-off between long-term memory and smoothness for recurrent networks.

Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön

CoRR, 2019

Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study.

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

CoRR, 2019

Deep Convolutional Networks in System Identification.

Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training.

Antônio H. Ribeiro, Luis Antonio Aguirre

Neurocomputing, 2018

Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network.

Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton Pifano, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro

CoRR, 2018

Lasso Regularization Paths for NARMAX Models via Coordinate Descent.

Antônio H. Ribeiro, Luis Antonio Aguirre

Proceedings of the 2018 Annual American Control Conference, 2018