Publications

I am interested in the intersection between machine learning, automatic control, signal processing, and to its application in medicine.

• Samples of my work on machine learning: ICML 2025, AISTATS 2025, NeurIPS 2024, ICML 2024, Neurips 2023, AISTATS 2020.
• Samples of my work on system identification and signal processing: Automatica (2025), IEEE Transactions on Signal Processing (2023), ICASSP (2021), Automatica (2020).
• Samples of my work on medical applications: Plos Neglected Tropical Disease (2023) Nature Communications (2021), Nature Communications (2020).
• Examples of international collaborations in medicine include: npj Digital Medicine (2025), Lancet Digital Medicine (2024), npj Digital Medicine (2024), IEEE Transactions on Biomedical Engineering (2023), Circulation (2023).

See a curated publication list below:

Journal articles

The Lancet Digital Health (2025)	Artificial Intelligence-Enhanced Electrocardiography for the Identification of a Sex-Related Cardiovascular Risk Continuum: A Retrospective Cohort Study Arunashis Sau, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Libor Pastika, Kathryn A McGurk, Antônio H Ribeiro, Antonio Luiz P Ribeiro, Jennifer E Ho, Nicholas S Peters, James S Ware, Upasana Tayal, Daniel B Kramer, Jonathan W Waks, Fu Siong Ng.
npj Digital Medicine (2025)	Explainable AI Associates ECG Aging Effects with Increased Cardiovascular Risk in a Longitudinal Population Study Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher.
Automatica (2025)	Deep Networks for System Identification: A Survey Gianluigi Pillonetto, Aleksandr Aravkin, Daniel Gedon, Lennart Ljung, Antonio H. Ribeiro, Thomas Bo Schön.
European Heart Journal (2024)	AI-ECG and Prediction of New Atrial Fibrillation: When the Heart Tells the Age Antonio H Ribeiro, Antonio Luiz P Ribeiro.
European Heart Journal - Digital Health (2024)	A Comparison of Artificial Intelligence-Enhanced Electrocardiography Approaches for Prediction of Time-to-Mortality Using Electrocardiogram Images Arunashis Sau, Boroumand Zeidaabadi, Konstantinos Patlatzoglou, Libor Pastika, Antônio H Ribeiro, Ester Sabino, Nicholas S Peters, Antonio Luiz P Ribeiro, Daniel B Kramer, Jonathan W Waks, Fu Siong Ng.
Nature Cardiovascular Research (2024)	Genetic and Phenotypic Architecture of Human Myocardial Trabeculation Kathryn A. McGurk, Mengyun Qiao, Sean L. Zheng, Arunashis Sau, Albert Henry, Antonio Luiz P. Ribeiro, Antônio H. Ribeiro, Fu Siong Ng, R. Thomas Lumbers, Wenjia Bai, James S. Ware, Declan P. O'Regan.
Circulation: Cardiovascular Quality and Outcomes (2024)	Prognostic Significance and Associations of Neural Network–Derived Electrocardiographic Features Arunashis Sau, Antônio H. Ribeiro, Kathryn A. McGurk, Libor Pastika, Nikesh Bajaj, Mehak Gurnani, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean L. Zheng, Annie Britton, Martin Shipley, Irena Andršová, Tomáš Novotný, Ester C. Sabino, Luana Giatti, Sandhi M. Barreto, Jonathan W. Waks, Daniel B. Kramer, Danilo Mandic, Nicholas S. Peters, Declan P. O'Regan, Marek Malik, James S. Ware, Antonio Luiz P. Ribeiro, Fu Siong Ng.
The Lancet Digital Health (2024)	Artificial Intelligence-Enabled Electrocardiogram for Mortality and Cardiovascular Risk Estimation: A Model Development and Validation Study Arunashis Sau, Libor Pastika, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Antoônio H Ribeiro, Kathryn A McGurk, Boroumand Zeidaabadi, Henry Zhang, Krzysztof Macierzanka, Danilo Mandic, Ester Sabino, Luana Giatti, Sandhi M Barreto, Lidyane do Valle Camelo, Ioanna Tzoulaki, Declan P O'Regan, Nicholas S Peters, James S Ware, Antonio Luiz P Ribeiro, Daniel B Kramer, Jonathan W Waks, Fu Siong Ng.
npj Digital Medicine (2024)	Artificial Intelligence–Enabled Electrocardiogram for Mortality and Cardiovascular Risk Estimation: An Actionable, Explainable and Biologically Plausible Platform Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antonio H. Ribeiro, Kathryn A. McGurk, William R Scott, James S. Ware, Antonio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng.
Scientific Reports (2024)	Evaluating Regression and Probabilistic Methods for ECG-based Electrolyte Prediction Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön.
Future Cardiology (2024)	Generalization Challenges in Electrocardiogram Deep Learning: Insights from Dataset Characteristics and Attention Mechanism Zhaojing Huang, Sarisha MacLachlan, Leping Yu, Luis Fernando Herbozo Contreras, Nhan Duy Truong, Antonio Horta Ribeiro, Omid Kavehei.
European Heart Journal - Digital Health (2024)	Decoding 2.3 Million ECGs: Interpretable Deep Learning for Advancing Cardiovascular Diagnosis and Mortality Risk Stratification Lei Lu, Tingting Zhu, Antonio H Ribeiro, Lei Clifton, Erying Zhao, Jiandong Zhou, Antonio Luiz P Ribeiro, Yuan-Ting Zhang, David A Clifton.
IEEE Transactions on Signal Processing (2023)	Overparameterized Linear Regression under Adversarial Attacks Antônio H. Ribeiro, Thomas B. Schön.
IEEE Transactions on Biomedical Engineering (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, Antonio Luiz P. Ribeiro, Joachim A. Behar.
Journal of Electrocardiology (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, Antonio Luiz P. Ribeiro, Thomas B. Schön.
Circulation (2023)	Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images Veer Sangha, Arash A. Nargesi, Lovedeep S. Dhingra, Bobak J. Mortazavi, Antônio H. Ribeiro, Cynthia A. Brandt, Edward J. Miller, Antonio Luiz P. Ribeiro, Eric J. Velazquez, Harlan M. Krumholz, Rohan Khera.
European Heart Journal - Digital Health (2023)	Heart Age Gap by Explainable Advanced Electrocardiography Is Associated with Cardiovascular Risk Factors and Survival Thomas Lindow, Maren Maanja, Erik B Schelbert, Antonio H Ribeiro, Antonio Luiz P Ribeiro, Todd T Schlegel, Martin Ugander.
Circulation: Cardiovascular Quality and Outcomes (2023)	Electrocardiographic Age Predicts Cardiovascular Events in Community: The Framingham Heart Study Luisa C C Brant, Antônio H Ribeiro, Marcelo M Pinto-Filho, Jelena Kornej, Sarah R. Preis, Benjamin Eromosele, Jared W. Magnani, Joanne M. Murabito, Martin G Larson, Emelia J Benjamin, Antonio L P Ribeiro, Honghuang Lin.
Plos Neglected Tropical Diseases (2023)	Screening for Chagas Disease from the Electrocardiogram Using a Deep Neural Network Carl Jidling, Daniel Gedon, Thomas B. Schön, Claudia Di Lorenzo Oliveira, Clareci Silva Cardos, Ariela Mota Ferreira, Luana Giatti, Sandhi Maria Barreto, Ester C. Sabino, Antônio L. P. Ribeiro, Antônio H. Ribeiro
IEEE Signal Processing Letters (2023)	Invertible Kernel PCA with Random Fourier Features Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön.
Frontiers in Cardiovascular Medicine (2023)	Association of Lifestyle with Deep-Learning Based ECG-age Cuili Zhang, Xiao Miao, Biqi Wang, Antônio H Ribeiro, Luisa Brant, Antonio L P Ribeiro, Honghuang Lin.
Scientific Reports (2022)	Development and Validation of Deep Learning ECG-based Prediction of Myocardial Infarction in Emergency Department Patients Stefan Gustafsson, Daniel Gedon, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström.
Nature Communications (2022)	Automated Multilabel Diagnosis on Electrocardiographic Images and Signals Veer Sangha, Bobak J. Mortazavi, Adrian D. Haimovich, Antônio H. Ribeiro, Cynthia A. Brandt, Daniel L. Jacoby, Wade L. Schulz, Harlan M. Krumholz, Antonio Luiz P. Ribeiro, Rohan Khera.
Hearts (2021)	Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients Gabriela M. M. Paixão, Emilly M. Lima, Paulo R. Gomes, Derick M. Oliveira, Manoel H. Ribeiro, Jamil S. Nascimento, Antonio H. Ribeiro, Peter W. Macfarlane, Antonio L. P. Ribeiro.
Nature Communications (2021)	Deep Neural Network Estimated Electrocardiographic-Age as a Mortality Predictor Emilly M. Lima, Antônio H. Ribeiro, Gabriela M M Paixão, Manoel Horta Ribeiro, Marcelo M. Pinto Filho, Paulo R. Gomes, Derick M. Oliveira, Ester C. Sabino, Bruce B. Duncan, Luana Giatti, Sandhi M. Barreto, Wagner Meira, Thomas B. Schön, Antonio Luiz P. Ribeiro.
European Heart Journal - Digital Health (2021)	Atrial Fibrillation Risk Prediction from the 12-Lead ECG Using Digital Biomarkers and Deep Representation Learning Shany Biton, Sheina Gendelman, Antônio H Ribeiro, Gabriela Miana, Carla Moreira, Antonio Luiz P Ribeiro, Joachim A Behar.
Communications of the ACM (2020)	Contextualized Interpretable Machine Learning for Medical Diagnosis Wagner Meira Jr, Antonio L. P. Ribeiro, Derick M. Oliveira, Antonio H. Ribeiro
Global Heart (2020)	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.
Automatica (2020)	On the Smoothness of Nonlinear System Identification Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis A. Aguirre.
Nature Communications (2020)	Automatic Diagnosis of the 12-Lead ECG Using a Deep Neural 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.
Nature Methods (2020)	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 R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C. J. Carey, İlhan 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.
Journal of Electrocardiology (2019)	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)	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. Ferreira, Derick M. Oliveira, Manoel Horta Ribeiro, Antônio H. Ribeiro, Jamil Nascimento, Jéssica A. Canazart, Gustavo Cardoso, Leonardo B. Ribeiro, Antonio Luiz P. Ribeiro.
Neurocomputing (2018)	”Parallel Training Considered Harmful?”: Comparing Series-Parallel and Parallel Feedforward Network Training Antônio H. Ribeiro, Luis A. Aguirre.

Conference papers

ICML (2025)	Human-Aligned Image Models Improve Visual Decoding from the Brain Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, M\aarten Björkman, Danica Kragic.
AISTATS (2025)	Efficient Optimization Algorithms for Linear Adversarial Training Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis Bach.
ICASSP (2025)	Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Danica Kragic.
NeurIPS (2024)	Can Transformers Smell Like Humans? Farzaneh Taleb, Miguel Vasco, Antonio H. Ribeiro, M\aarten Björkman, Danica Kragic.
CinC (2024)	Transferability and Adversarial Training in Automatic Classification of the Electrocardiogram with Deep Learning Arvid Eriksson, Thomas B Schön, Antonio H RIbeiro.
ICML (2024)	No Double Descent in Principal Component Regression: A High-Dimensional Analysis Daniel Gedon, Antonio H. Ribeiro, Thomas B. Schön.
NeurIPS (2023)	Regularization Properties of Adversarially-Trained Linear Regression Antônio H Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön.
SYSID (2021)	Deep Energy-Based NARX Models Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön.
SYSID (2021)	Beyond Occam's Razor in System Identification: Double-Descent When Modeling Dynamics Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön.
ICASSP (2021)	How Convolutional Neural Networks Deal with Aliasing Antonio H. Ribeiro, Thomas B. Schon.
CinC (2021)	First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön.
ECML-PKDD (2020)	Explaining End-to-End ECG Automated Diagnosis Using Contextual Features Derick M. Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M.M. Paixao, Antonio Luiz P. Ribeiro, Wagner Meira Jr.
CinC (2020)	Automatic 12-Lead ECG Classification Using a Convolutional Network Ensemble Antonio H Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antonio L Pinho Ribeiro, Thomas B Schon, Wagner Meira Jr.
AISTATS (2020)	Beyond Exploding and Vanishing Gradients: Attractors and Smoothness in the Analysis of Recurrent Neural Network Training Antônio H. Ribeiro, Koen Tiels, Luis A. Aguirre, Thomas B. Schön.
CinC (2020)	Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists Derick M Oliveira, Antonio H Ribeiro, Joao A O Pedrosa, Gabriela M M Paixao, Antonio L Ribeiro, Wagner Meira Jr.
CDC (2019)	Deep Convolutional Networks in System Identification Carl Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön.
ACC (2018)	Lasso Regularization Paths for NARMAX Models via Coordinate Descent Antonio H. Ribeiro, Luis A. Aguirre.
IFAC World Congress (2017)	Shooting Methods for Parameter Estimation of Output Error Models Antônio H. Ribeiro, Luis A. Aguirre.
IFAC Oil and Gas (2015)	Selecting Transients Automatically for the Identification of Models for an Oil Well Antônio H. Ribeiro, Luis A. Aguirre.