<commit_before>---
layout: page
title: 
permalink: /publications
---


<hr />
<div class="titlebox">Accepted for Publication</div>


<div class="paper" markdown="1">
<div class="category">recurrent neural networks, nonlinear systems, non-convex optimization</div>
<span class="papertitle">**Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness** </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME> </span> <br />
<span class="conference">To appear in the Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, AISTATS (2020).</span> <br />
<span class="source">
[arXiv](http://arxiv.org/abs/1906.08482)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study** </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>., <NAME>, <NAME> </span> <br />
<span class="conference">Nature Communications (2020)</span> <br />
<span class="source">
[arXiv](http://arxiv.org/abs/1904.01949) -
[nature website](https://nature-research-under-consideration.nature.com/users/37265-nature-communications/posts/47750-automatic-diagnosis-of-the-short-duration-12-lead-ecg-using-a-deep-neural-network-the-code-study)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">system identification, nonlinear systems, non-convex optimization</div>
<span class="papertitle">**On the Smoothness of Nonlinear System Identification** </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME> </span> <br />
<span class="conference"> Provisionally accepted at Automatica (2020)</span> <br />
<span class="source">
[arXiv](https://arxiv.org/abs/1905.00820) -
[code](https://github.com/antonior92/MultipleShootingPEM.jl)
</span>
</div>

<hr />
<div class="titlebox">Journal papers</div>


<div class="paper" markdown="1">
<div class="category">scientific computing</div>
<span class="papertitle">**SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python** </span> <br />
<span class="authors"> <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, SciPy 1.0 Contributors </span> <br />
<span class="conference"> Nature Methods (2020)</span> <br />
<span class="source">
[arXiv](http://arxiv.org/abs/1907.10121) -
[doi](https://doi.org/10.1038/s41592-019-0686-2)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">bigdata, electrocardiography</div>
<span class="papertitle">**Tele-electrocardiography and Bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) Study** </span> <br />
<span class="authors"> <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME></span> <br />
<span class="conference"> Journal of Electrocardiology (2019)</span> <br />
<span class="source">
[doi](https://doi.org/10.1016/j.jelectrocard.2019.09.008)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">electrocardiography</div>
<span class="papertitle">**Evaluation of mortality in bundle branch block patients from an electronic cohort: Clinical Outcomes in Digital Electrocardiography (CODE) study** </span> <br />
<span class="authors"> <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME></span> <br />
<span class="conference"> Journal of Electrocardiology (2019)</span> <br />
<span class="source">
[doi](https://doi.org/10.1016/j.jelectrocard.2019.09.004)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">system identification, recurrent neural networks</div>
<span class="papertitle">**"Parallel Training Considered Harmful?" : Comparing Series-Parallel and Parallel Feedforward Network Training** </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Neurocomputing (2018)</span> <br />
<span class="source">
[doi](https://doi.org/10.1016/j.neucom.2018.07.071) - 
[arXiv](https://arxiv.org/abs/1706.07119) - 
[code](https://github.com/antonior92/ParallelTrainingNN.jl)
</span>
</div>

<hr />
<div class="titlebox">International conference papers</div>

<div class="paper" markdown="1">
<div class="category">system identification, deep neural networks</div>
<span class="papertitle">**Deep convolutional networks are useful in system identification** </span> <br />
<span class="authors"><NAME>, **<NAME>**, <NAME>, <NAME> and <NAME> </span> <br />
<span class="conference"> Proceedings of the 58th IEEE Conference on Decision and Control (2019). </span><br />
<span class="source">
[doi](https://doi.org/10.1109/CDC40024.2019.9030219) -
[arXiv](https://arxiv.org/abs/1909.01730) - 
[code](https://github.com/antonior92/sysid-neuralnet)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">system identification, lasso </div>
<span class="papertitle">**Lasso Regularization Paths for NARMAX Models via Coordinate Descent**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of the American Control Conference (2018) </span><br />
<span class="source">
[doi](https://doi.org/10.23919/ACC.2018.8430924) - 
[arXiv](https://arxiv.org/abs/1710.00598) -
[slides](slides/2018-ACC.pdf) -
[code](https://github.com/antonior92/NarmaxLasso.jl)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">system identification, parameter estimation </div>
<span class="papertitle">**Shooting Methods for Parameter Estimation of Output Error Models**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of 20th IFAC World Congress (2017) </span><br />
<span class="source">
[doi](https://doi.org/10.1016/j.ifacol.2017.08.2421) - 
[poster](posters/2017-IFACWorld.pdf) -
[code](https://github.com/antonior92/oe-multiple-shooting)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">system identification, oil production</div>
<span class="papertitle">**Selecting Transients Automatically for the Identification of Models for an Oil Well**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production (2015)</span><br />
<span class="source">
[doi](https://doi.org/10.1016/j.ifacol.2015.08.024) - 
[slides](slides/2015-IFACOil.pdf)
</span>
</div>


<hr />
<div class="titlebox">Limited peer reviewed workshop, conference papers and abstracts</div>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**ECG-AGE FROM ARTIFICIAL INTELLIGENCE: A NEW PREDICTOR FOR MORTALITY? THE CODE (CLINICAL OUTCOMES IN DIGITAL ELECTROCARDIOGRAPHY) STUDY**  </span> <br />
<span class="authors"> <NAME>, **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME> and <NAME> </span> <br />
<span class="conference">Journal of the American College of Cardiology (2019) **(Young investigator award competition)**</span><br />
<span class="source">
[doi](https://doi.org/10.1016/S0735-1097(20)34299-6)
</span>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional
Network**  </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>., <NAME>, <NAME> </span> <br />
<span class="conference">Presented both at SciLifeLab Science Summit, Uppsala (2019)  **(Best poster award)** and at the Swedish Symposium on Deep Learning - SSDL (2019)</span><br />
<span class="source">
[abstract](posters/2019-SciLifeLab-abstract.png) -
[poster](posters/2019-SciLifeLab.pdf)
</span>

</div>
<div class="paper" markdown="1">
<div class="category">system identification, deep neural networks</div>
<span class="papertitle">**Deep convolutional networks are useful in system identification** </span> <br />
<span class="authors">**<NAME>**, <NAME>, <NAME>, <NAME> and <NAME> </span> <br />
<span class="conference">Workshop on Nonlinear System Identification Benchmarks (2019).</span> <br />
<span class="source">
[abstract](posters/2019-NonLinWorkshop.pdf) - 
[slides](slides/2019-NonLinWorkshop.pdf)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network**  </span> <br />
<span class="authors">**<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>., <NAME>, <NAME> </span> <br />
<span class="conference">Machine Learning for Health (ML4H) Workshop at NeurIPS (2018),  **(Travel award)**</span><br />
<span class="source">
[arXiv](https://arxiv.org/abs/1811.12194) -
[poster](posters/2018-ML4HNeurIPS.pdf)
</span>
</div>


<hr />
<div class="titlebox">National conference papers</div>



<div class="paper" markdown="1">
<div class="category">system identification, nonlinear systems</div>
<span class="papertitle">**Relaçoes Estáticas de Modelos NARX MISO e sua Representaçao de Hammerstein**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of the "XX Congresso Brasileiro de Automática" (2014) </span><br />
<span class="source">
[pdf](http://www.swge.inf.br/CBA2014/anais/PDF/1569890815.pdf) - 
[slides](slides/2014-CBA.pdf)
</span>
</div>


<hr />
<div class="titlebox">Theses </div>

<div class="paper" markdown="1">
<div class="category">system identification, parameter estimation, nonlinear systems</div>
<span class="papertitle">**Recurrent Structures in System Identification**  </span> <br />
<span class="authors"> **<NAME>** (supervisor: <NAME>) </span> <br />
<span class="conference"> Master thesis (2017) </span><br />
<span class="source">
[pdf](https://www.ppgee.ufmg.br/defesas/1480M.PDF) -
[slides](slides/2017-Ms.pdf)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">stereo camera, stereo vision, fpga</div>
<span class="papertitle">**Implementação de uma Câmera Estéreo**  </span> <br />
<span class="authors"> **<NAME>** (supervisor: <NAME>) </span> <br />
<span class="conference"> Trabalho de conclusão de curso (2015) </span><br />
<span class="source">
[doi](https://doi.org/10.13140/RG.2.1.1133.2728) -
[pdf](http://www.coro.cpdee.ufmg.br/publications/antonio_ribeiro.pdf) -
[slides](slides/2015-TCC.pdf)
</span>
</div>
<commit_msg>Update publications.md<commit_after>---
layout: page
title: 
permalink: /publications
---


<hr />
<div class="titlebox">Accepted for Publication</div>


<div class="paper" markdown="1">
<div class="category">recurrent neural networks, nonlinear systems, non-convex optimization</div>
<span class="papertitle">**Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness** </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME> </span> <br />
<span class="conference">To appear in the Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, AISTATS (2020).</span> <br />
<span class="source">
[arXiv](http://arxiv.org/abs/1906.08482)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study** </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>., <NAME>, <NAME> </span> <br />
<span class="conference">Nature Communications (2020)</span> <br />
<span class="source">
[arXiv](http://arxiv.org/abs/1904.01949) -
[nature website](https://nature-research-under-consideration.nature.com/users/37265-nature-communications/posts/47750-automatic-diagnosis-of-the-short-duration-12-lead-ecg-using-a-deep-neural-network-the-code-study)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">system identification, nonlinear systems, non-convex optimization</div>
<span class="papertitle">**On the Smoothness of Nonlinear System Identification** </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME> </span> <br />
<span class="conference"> Provisionally accepted at Automatica (2020)</span> <br />
<span class="source">
[arXiv](https://arxiv.org/abs/1905.00820) -
[code](https://github.com/antonior92/MultipleShootingPEM.jl)
</span>
</div>

<hr />
<div class="titlebox">Journal papers</div>


<div class="paper" markdown="1">
<div class="category">scientific computing</div>
<span class="papertitle">**SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python** </span> <br />
<span class="authors"> <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, SciPy 1.0 Contributors </span> <br />
<span class="conference"> Nature Methods (2020)</span> <br />
<span class="source">
[arXiv](http://arxiv.org/abs/1907.10121) -
[doi](https://doi.org/10.1038/s41592-019-0686-2)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">bigdata, electrocardiography</div>
<span class="papertitle">**Tele-electrocardiography and Bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) Study** </span> <br />
<span class="authors"> <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME></span> <br />
<span class="conference"> Journal of Electrocardiology (2019)</span> <br />
<span class="source">
[doi](https://doi.org/10.1016/j.jelectrocard.2019.09.008)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">electrocardiography</div>
<span class="papertitle">**Evaluation of mortality in bundle branch block patients from an electronic cohort: Clinical Outcomes in Digital Electrocardiography (CODE) study** </span> <br />
<span class="authors"> <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME></span> <br />
<span class="conference"> Journal of Electrocardiology (2019)</span> <br />
<span class="source">
[doi](https://doi.org/10.1016/j.jelectrocard.2019.09.004)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">system identification, recurrent neural networks</div>
<span class="papertitle">**"Parallel Training Considered Harmful?" : Comparing Series-Parallel and Parallel Feedforward Network Training** </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Neurocomputing (2018)</span> <br />
<span class="source">
[doi](https://doi.org/10.1016/j.neucom.2018.07.071) - 
[arXiv](https://arxiv.org/abs/1706.07119) - 
[code](https://github.com/antonior92/ParallelTrainingNN.jl)
</span>
</div>

<hr />
<div class="titlebox">International conference papers</div>

<div class="paper" markdown="1">
<div class="category">system identification, deep neural networks</div>
<span class="papertitle">**Deep convolutional networks are useful in system identification** </span> <br />
<span class="authors"><NAME>, **<NAME>**, <NAME>, <NAME> and <NAME> </span> <br />
<span class="conference"> Proceedings of the 58th IEEE Conference on Decision and Control (2019). </span><br />
<span class="source">
[doi](https://doi.org/10.1109/CDC40024.2019.9030219) -
[arXiv](https://arxiv.org/abs/1909.01730) - 
[code](https://github.com/antonior92/sysid-neuralnet)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">system identification, lasso </div>
<span class="papertitle">**Lasso Regularization Paths for NARMAX Models via Coordinate Descent**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of the American Control Conference (2018) </span><br />
<span class="source">
[doi](https://doi.org/10.23919/ACC.2018.8430924) - 
[arXiv](https://arxiv.org/abs/1710.00598) -
[slides](slides/2018-ACC.pdf) -
[code](https://github.com/antonior92/NarmaxLasso.jl)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">system identification, parameter estimation </div>
<span class="papertitle">**Shooting Methods for Parameter Estimation of Output Error Models**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of 20th IFAC World Congress (2017) </span><br />
<span class="source">
[doi](https://doi.org/10.1016/j.ifacol.2017.08.2421) - 
[poster](posters/2017-IFACWorld.pdf) -
[code](https://github.com/antonior92/oe-multiple-shooting)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">system identification, oil production</div>
<span class="papertitle">**Selecting Transients Automatically for the Identification of Models for an Oil Well**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production (2015)</span><br />
<span class="source">
[doi](https://doi.org/10.1016/j.ifacol.2015.08.024) - 
[slides](slides/2015-IFACOil.pdf)
</span>
</div>


<hr />
<div class="titlebox">Limited peer reviewed workshop, conference papers and abstracts</div>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**ECG-AGE FROM ARTIFICIAL INTELLIGENCE: A NEW PREDICTOR FOR MORTALITY? THE CODE (CLINICAL OUTCOMES IN DIGITAL ELECTROCARDIOGRAPHY) STUDY**  </span> <br />
<span class="authors"> <NAME>, **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME> and <NAME> </span> <br />
<span class="conference">Journal of the American College of Cardiology (2019) **(Young investigator award competition)**</span><br />
<span class="source">
[doi](https://doi.org/10.1016/S0735-1097(20)34299-6)
</span>
</div>


<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional
Network**  </span> <br />
<span class="authors"> **<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>., <NAME>, <NAME> </span> <br />
<span class="conference">Presented both at SciLifeLab Science Summit, Uppsala (2019)  **(Best poster award)** and at the Swedish Symposium on Deep Learning - SSDL (2019)</span><br />
<span class="source">
[abstract](posters/2019-SciLifeLab-abstract.png) -
[poster](posters/2019-SciLifeLab.pdf)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">system identification, deep neural networks</div>
<span class="papertitle">**Deep convolutional networks are useful in system identification** </span> <br />
<span class="authors">**<NAME>**, <NAME>, <NAME>, <NAME> and <NAME> </span> <br />
<span class="conference">Workshop on Nonlinear System Identification Benchmarks (2019).</span> <br />
<span class="source">
[abstract](posters/2019-NonLinWorkshop.pdf) - 
[slides](slides/2019-NonLinWorkshop.pdf)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">deep supervised learning, electrocardiography, machine learning in heath care</div>
<span class="papertitle">**Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network**  </span> <br />
<span class="authors">**<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>., <NAME>, <NAME> </span> <br />
<span class="conference">Machine Learning for Health (ML4H) Workshop at NeurIPS (2018),  **(Travel award)**</span><br />
<span class="source">
[arXiv](https://arxiv.org/abs/1811.12194) -
[poster](posters/2018-ML4HNeurIPS.pdf)
</span>
</div>


<hr />
<div class="titlebox">National conference papers</div>



<div class="paper" markdown="1">
<div class="category">system identification, nonlinear systems</div>
<span class="papertitle">**Relaçoes Estáticas de Modelos NARX MISO e sua Representaçao de Hammerstein**  </span> <br />
<span class="authors">**<NAME>**, <NAME> </span> <br />
<span class="conference">Proceedings of the "XX Congresso Brasileiro de Automática" (2014) </span><br />
<span class="source">
[pdf](http://www.swge.inf.br/CBA2014/anais/PDF/1569890815.pdf) - 
[slides](slides/2014-CBA.pdf)
</span>
</div>


<hr />
<div class="titlebox">Theses </div>

<div class="paper" markdown="1">
<div class="category">system identification, parameter estimation, nonlinear systems</div>
<span class="papertitle">**Recurrent Structures in System Identification**  </span> <br />
<span class="authors"> **<NAME>** (supervisor: <NAME>) </span> <br />
<span class="conference"> Master thesis (2017) </span><br />
<span class="source">
[pdf](https://www.ppgee.ufmg.br/defesas/1480M.PDF) -
[slides](slides/2017-Ms.pdf)
</span>
</div>

<div class="paper" markdown="1">
<div class="category">stereo camera, stereo vision, fpga</div>
<span class="papertitle">**Implementação de uma Câmera Estéreo**  </span> <br />
<span class="authors"> **<NAME>** (supervisor: <NAME>) </span> <br />
<span class="conference"> Trabalho de conclusão de curso (2015) </span><br />
<span class="source">
[doi](https://doi.org/10.13140/RG.2.1.1133.2728) -
[pdf](http://www.coro.cpdee.ufmg.br/publications/antonio_ribeiro.pdf) -
[slides](slides/2015-TCC.pdf)
</span>
</div>

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