Working manuscripts
scientific computing

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 J van der Walt, Matthew Brett, Joshua Wilson, K Jarrod Millman, Nikolay Mayorov, Andrew RJ Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, EA Quintero, Charles R Harris, Anne M Archibald, Antônio H Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1.0 Contributors
July, 2019
arXiv

recurrent neural networks, nonlinear systems, non-convex optimization

The trade-off between long-term memory and smoothness for recurrent networks
Antônio H. Ribeiro, Koen Tiels, Luis A. Aguirre, Thomas B. Schön
June, 2019
arXiv

deep supervised learning, electrocardiography, machine learning in heath care

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. Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antonio Luiz P. Ribeiro
April, 2019
arXiv - nature website


Journal papers
bigdata, electrocardiography

Tele-electrocardiography and Bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) Study
Antonio Luiz P.Ribeiro, Gabriela M.M.Paixão, Paulo R.Gomes, Manoel Horta Ribeiro, Antônio H. Ribeiro, Jéssica A. Canazart, Derick M. Oliveira, Milton P. Ferreira, Emilly M. Lima, Jermana Lopes de Moraes, Nathalia Castro, Leonardo B. Ribeiro, Peter W. Macfarlane
Journal of Electrocardiology (2019)
doi

electrocardiography

Evaluation of mortality in bundle branch block patients from an electronic cohort: Clinical Outcomes in Digital Electrocardiography (CODE) study
Gabriela M.M.Paixão, Emilly M. Lima, Paulo R. Gomes, Milton P. F. Ferreira, Derick M. Oliveira, Manoel H. Ribeiro, Antonio H. Ribeiro, Jamil S. Nascimento, Jéssica A. Canazart, Leonardo B. Ribeiro, Antonio L. P. Ribeiro
Journal of Electrocardiology (2019)
doi

system identification, nonlinear systems, non-convex optimization

On the Smoothness of Nonlinear System Identification
Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis A. Aguirre
Automatica (provisionally accepted)
arXiv - code

system identification, recurrent neural networks

“Parallel Training Considered Harmful?” : Comparing Series-Parallel and Parallel Feedforward Network Training
Antônio H. Ribeiro, Luis A. Aguirre
Neurocomputing (2018)
doi - arXiv - code


International conference papers
system identification, deep neural networks

Deep convolutional networks are useful in system identification
Carl Andersson, Antonio H. Ribeiro, Koen Tiels, Niklas Wahlström and Thomas B. Schön
To be presented in the 58th IEEE Conference on Decision and Control (2019)
arXiv - code

system identification, lasso

Lasso Regularization Paths for NARMAX Models via Coordinate Descent
Antônio H. Ribeiro, Luis A. Aguirre
Proceedings of American Control Conference (2018)
doi - arXiv - slides - code

system identification, parameter estimation

Shooting Methods for Parameter Estimation of Output Error Models
Antônio H. Ribeiro, Luis A. Aguirre
Proceedings of 20th IFAC World Congress (2017)
doi - poster - code

system identification, oil production

Selecting Transients Automatically for the Identification of Models for an Oil Well
Antônio H. Ribeiro, Luis A. Aguirre
Proceedings of 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production (2015)
doi - slides


Others
deep supervised learning, electrocardiography, machine learning in heath care

Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network
Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M.M. Paixão, Derick M. Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antonio Luiz P. Ribeiro
Presented both at SciLifeLab Science Summit, Uppsala (2019) (Best poster award) and at the Swedish Symposium on Deep Learning - SSDL (2019)
abstract - poster

system identification, deep neural networks

Deep convolutional networks are useful in system identification
Antonio H. Ribeiro, Carl Andersson, Koen Tiels, Niklas Wahlström and Thomas B. Schön
Workshop on Nonlinear System Identification Benchmarks (2019).
abstract - slides

deep supervised learning, electrocardiography, machine learning in heath care

Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network
Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela Paixão, Derick Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton Pifano, Wagner Meira Jr., Thomas B. Schön, Antonio Luiz Ribeiro
Machine Learning for Health (ML4H) Workshop at NeurIPS (2018), (Travel award)
arXiv - poster


National conference papers and abstracts
deep supervised learning, electrocardiography, machine learning in heath care

Classificação automática de eletrocardiogramas com 12 derivações por meio de redes neurais convolucionais: Estudo CODE
Paulo Rodrigues Gomes, Antonio H. Ribeiro, Manoel Horta Ribeiro, Derick Matheus Oliveira, Gabriela Miana de Mattos Paixão, Jéssica Augusta Canazart, Luís Gustavo Silva e Silva, Milton Pifano, Jamil Nascimento, Antonio L. Ribeiro
XVI Congresso Brasileiro de Informática em Saúde (2018)
poster

deep supervised learning, electrocardiography, machine learning in heath care

Classificação automática de eletrocardiogramas com 12 derivações por meio de redes neurais convolucionais
Jéssica Augusta Canazart, Antonio H. Ribeiro, Manoel Horta Ribeiro, Derick Matheus Oliveira, Paulo Rodrigues Gomes, Gabriela Miana de Mattos Paixão, Luís Gustavo Silva e Silva, Milton Pifano, Jamil Nascimento, Antonio L. Ribeiro
73 Congresso Brasileiro de Cardiologia (2018)
abstract

system identification, nonlinear systems

Relaçoes Estáticas de Modelos NARX MISO e sua Representaçao de Hammerstein
Antônio H. Ribeiro, Luis A. Aguirre
Proceedings of the “XX Congresso Brasileiro de Automática” (2014)
pdf - slides


Theses
system identification, parameter estimation, nonlinear systems

Recurrent Structures in System Identification
Antonio H. Ribeiro (supervisor: Luis A. Aguirre)
Master thesis (2017)
pdf - slides

stereo camera, stereo vision, fpga

Implementação de uma Câmera Estéreo
Antonio H. Ribeiro (supervisor: Guilherme A. S. Pereira)
Trabalho de conclusão de curso (2015)
doi - pdf - slides