Journal Papers
system identification, 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
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)
arXiv - poster

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


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


Conference Abstracts and Presentations
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


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