Journal papers
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 (2020)
arXiv - code - doi

electrocardiography

Evaluation of Mortality in Atrial Fibrillation: Clinical Outcomes in Digital Electrocardiography (CODE) Study
Gabriela M. M. Paixão , Luis Gustavo S. Silva, Paulo R. Gomes, Emilly M. Lima, Milton P. F. Ferreira, Derick M. Oliveira, Manoel H. Ribeiro, Antonio H. Ribeiro, Jamil S. Nascimento, Jéssica A. Canazart, Leonardo B. Ribeiro, Emelia J. Benjamin, Peter W. Macfarlane, Milena S. Marcolino, Antonio L. Ribeiro
Global Heart (2020)
doi

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
Nature Communications (2020)
doi - arXiv - code - data - models

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
Nature Methods (2020)
arXiv - doi

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, 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
recurrent neural networks, nonlinear systems, non-convex optimization

Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
Antônio H. Ribeiro, Koen Tiels, Luis A. Aguirre, Thomas B. Schön
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, AISTATS (2020).
url - arXiv - code

system identification, deep neural networks

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

system identification, lasso

Lasso Regularization Paths for NARMAX Models via Coordinate Descent
Antônio H. Ribeiro, Luis A. Aguirre
Proceedings of the 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


Limited peer reviewed workshop, conference papers and abstracts
deep supervised learning, electrocardiography, machine learning in heath care

ECG-AGE FROM ARTIFICIAL INTELLIGENCE: A NEW PREDICTOR FOR MORTALITY? THE CODE (CLINICAL OUTCOMES IN DIGITAL ELECTROCARDIOGRAPHY) STUDY
Gabriela Miana Paixão, Antonio Horta Ribeiro, Emilly Lima, Bruna Seewald, Manoel Horta Ribeiro, Derick Oliveira, Paulo Gomes, Nathalia Castro, Wagner Meira Jr, Thomas Schön and Antonio L. Ribeiro
Journal of the American College of Cardiology (2019) (Young investigator award competition)
doi

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
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
machine learning, system identification, nonlinear systems, signal processing

Learning nonlinear differentiable models for signals and systems: with applications
Antonio H. Ribeiro (supervisor: Luis A. Aguirre, co-supervisor: Thomas B. Schön)
Ph.D. thesis (2020)
pdf

system identification, parameter estimation, nonlinear systems

Recurrent Structures in System Identification
Antonio H. Ribeiro (supervisor: Luis A. Aguirre)
M.Sc. 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