Publications

I am interested in the intersection between machine learning, automatic control, signal processing, and to its application in medicine. See a curated publication list bellow:

Journal articles

[J1] Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study (2025). 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. The Lancet Digital Health. [doi]
[J2] Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study (2025). Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher. npj Digital Medicine. [doi]
[J3] Deep networks for system identification: a Survey (2025). Gianluigi Pillonetto, Aleksandr Aravkin, Daniel Gedon, Lennart Ljung, Antonio H. Ribeiro, Thomas Bo Schön. Automatica. [doi]
[J4] AI-ECG and prediction of new atrial fibrillation: when the heart tells the age (2024). Antonio H Ribeiro, Antonio Luiz P Ribeiro. European Heart Journal. [doi]
[J5] A comparison of artificial intelligence-enhanced electrocardiography approaches for prediction of time-to-mortality using electrocardiogram images (2024). 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. European Heart Journal - Digital Health. [doi]
[J6] Genetic and phenotypic architecture of human myocardial trabeculation (2024). 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. Nature Cardiovascular Research. [doi]
[J7] Prognostic Significance and Associations of Neural Network–Derived Electrocardiographic Features (2024). 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. Circulation: Cardiovascular Quality and Outcomes. [doi]
[J8] Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study (2024). 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. The Lancet Digital Health. [doi]
[J9] Artificial intelligence–enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platform (2024). 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. npj Digital Medicine. [doi]
[J10] Generalization challenges in electrocardiogram deep learning: insights from dataset characteristics and attention mechanism (2024). Zhaojing Huang, Sarisha MacLachlan, Leping Yu, Luis Fernando Herbozo Contreras, Nhan Duy Truong, Antonio Horta Ribeiro, Omid Kavehei. Future Cardiology. [doi]
[J11] Decoding 2.3 Million ECGs: Interpretable Deep Learning for Advancing Cardiovascular Diagnosis and Mortality Risk Stratification (2024). Lei Lu, Tingting Zhu, Antonio H Ribeiro, Lei Clifton, Erying Zhao, Jiandong Zhou, Antonio Luiz P Ribeiro, Yuan-Ting Zhang, David A Clifton. European Heart Journal - Digital Health. [doi]
[J12] Overparameterized Linear Regression under Adversarial Attacks (2023). Antônio H. Ribeiro, Thomas B. Schön. IEEE Transactions on Signal Processing. [doi] - [arxiv]
[J13] On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG (2023). Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antonio Luiz P. Ribeiro, Joachim A. Behar. IEEE Transactions on Biomedical Engineering. [doi] - [arxiv]
[J14] End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks (2023). Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antonio Luiz P. Ribeiro, Thomas B. Schön. Journal of Electrocardiology. [doi]
[J15] Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images (2023). 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. Circulation. [doi]
[J16] Heart age gap by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival (2023). Thomas Lindow, Maren Maanja, Erik B Schelbert, Antonio H Ribeiro, Antonio Luiz P Ribeiro, Todd T Schlegel, Martin Ugander. European Heart Journal - Digital Health. [doi]
[J17] Electrocardiographic Age Predicts Cardiovascular Events in Community: The Framingham Heart Study (2023). 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. Circulation: Cardiovascular Quality and Outcomes. [doi]
[J18] Screening for Chagas disease from the electrocardiogram using a deep neural network (2023). 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 Plos Neglected Tropical Diseases. [doi] - [code]
[J19] Invertible Kernel PCA with Random Fourier Features (2023). Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön. IEEE Signal Processing Letters. [doi] - [arxiv] - [code]
[J20] Association of lifestyle with deep-learning based ECG-age (2023). Cuili Zhang, Xiao Miao, Biqi Wang, Antônio H Ribeiro, Luisa Brant, Antonio L P Ribeiro, Honghuang Lin. Frontiers in Cardiovascular Medicine. [doi]
[J21] Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients (2022). Stefan Gustafsson, Daniel Gedon, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström. Scientific Reports. [doi]
[J22] Automated multilabel diagnosis on electrocardiographic images and signals (2022). 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. Nature Communications. [doi] - [medrxiv] - [webapp]
[J23] Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients (2021). 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. Hearts. [doi]
[J24] Deep neural network estimated electrocardiographic-age as a mortality predictor (2021). 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. Nature Communications. [doi] - [code] - [medRxiv] - [dataset 1] - [dataset 2] - [model]
[J25] Atrial fibrillation risk prediction from the 12-lead ECG using digital biomarkers and deep representation learning (2021). Shany Biton, Sheina Gendelman, Antônio H Ribeiro, Gabriela Miana, Carla Moreira, Antonio Luiz P Ribeiro, Joachim A Behar. European Heart Journal - Digital Health. [doi]
[J26] Contextualized Interpretable Machine Learning for Medical Diagnosis (2020). Wagner Meira Jr, Antonio L. P. Ribeiro, Derick M. Oliveira, Antonio H. Ribeiro Communications of the ACM. [doi]
[J27] Evaluation of Mortality in Atrial Fibrillation: Clinical Outcomes in Digital Electrocardiography (CODE) Study (2020). 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. [doi]
[J28] On the smoothness of nonlinear system identification (2020). Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis A. Aguirre. Automatica. [doi] - [code] - [arXiv]
[J29] Automatic diagnosis of the 12-lead ECG using a deep neural network (2020). 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. [doi] - [arXiv] - [code] - [data] - [models]
[J30] SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python (2020). Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. 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 Mulbregt, SciPy 1.0 Contributors. Nature Methods. [doi] - [arXiv]
[J31] Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study (2019). 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 Moraes, Nathalia Castro, Leonardo B. Ribeiro, Peter W. MacFarlane. Journal of Electrocardiology. [doi]
[J32] Evaluation of mortality in bundle branch block patients from an electronic cohort: Clinical Outcomes in Digital Electrocardiography (CODE) study (2019). 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. Journal of Electrocardiology. [doi]
[J33] ''Parallel Training Considered Harmful?'': Comparing series-parallel and parallel feedforward network training (2018). Antônio H. Ribeiro, Luis A. Aguirre. Neurocomputing. [doi] - [arXiv] - [code]

Conference papers

[C1] Human-Aligned Image Models Improve Visual Decoding from the Brain (2025). Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic. International Conference on Machine Learning (ICML). [doi]
[C2] Efficient Optimization Algorithms for Linear Adversarial Training (2025). Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis Bach. International Conference on Artificial Intelligence and Statistics (AISTATS). [arxiv]
[C3] Deep learning amplified early stopping bias: Overestimating performance on small datasets (2025). Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Danica Kragic. International conference on acoustics, speech, and signal processing (ICASSP).
[C4] Can Transformers Smell Like Humans? (2024). Farzaneh Taleb, Miguel Vasco, Antonio H. Ribeiro, Mårten Björkman, Danica Kragic. Advances in Neural Information Processing Systems. [neurips website]
[C5] Transferability and Adversarial Training in Automatic Classification of the Electrocardiogram with Deep Learning (2024). Arvid Eriksson, Thomas B Schön, Antonio H RIbeiro. Computers in Cardiology (CinC). [pdf]
[C6] No Double Descent in Principal Component Regression: A High-Dimensional Analysis (2024). Daniel Gedon, Antonio H. Ribeiro, Thomas B. Schön. International Conference on Machine Learning (ICML). [icml website] - [code]
[C7] Regularization properties of adversarially-trained linear regression (2023). Antônio H Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön. Advances in Neural Information Processing Systems (NeurIPS). [arxiv] - [neurips website] - [code]
[C8] Deep Energy-Based NARX Models (2021). Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön. IFAC Symposium on System Identification (SYSID). [doi] - [arXiv] - [code]
[C9] Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics (2021). Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön. IFAC Symposium on System Identification (SYSID). [doi] - [arxiv] - [code] - [slides]
[C10] How convolutional neural networks deal with aliasing (2021). Antonio H. Ribeiro, Thomas B. Schon. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [doi] - [arXiv] - [code] - [slides] - [poster] - [sigport]
[C11] First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG (2021). Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön. Computing in Cardiology (CinC). [doi]
[C12] Explaining end-to-end ECG automated diagnosis using contextual features (2020). Derick M. Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M.M. Paixao, Antonio Luiz P. Ribeiro, Wagner Meira Jr. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). [doi] - [IEEE] - [url]
[C13] Automatic 12-lead ECG classification using a convolutional network ensemble (2020). Antonio H Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antonio L Pinho Ribeiro, Thomas B Schon, Wagner Meira Jr. Computing in Cardiology (CinC). [doi] - [IEEE] - [url] - [code] - [slides] - [presentation]
[C14] Beyond exploding and vanishing gradients: attractors and smoothness in the analysis of recurrent neural network training (2020). Antônio H. Ribeiro, Koen Tiels, Luis A. Aguirre, Thomas B. Schön. International Conference on Artificial Intelligence and Statistics (AISTATS). [url] - [presentation] - [code] - [models]
[C15] Explaining black-box automated electrocardiogram classification to cardiologists (2020). Derick M Oliveira, Antonio H Ribeiro, Joao A O Pedrosa, Gabriela M M Paixao, Antonio L Ribeiro, Wagner Meira Jr. 2020 Computing in Cardiology (CinC). [doi] - [presentation] - [code]
[C16] Deep Convolutional Networks in System Identification (2019). Carl Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön. IEEE Conference on Decision and Control (CDC). [doi] - [arXiv] - [code]
[C17] Lasso Regularization Paths for NARMAX Models via Coordinate Descent (2018). Antonio H. Ribeiro, Luis A. Aguirre. 2018 Annual American Control Conference (ACC). [doi] - [arXiv] - [slides] - [code]
[C18] Shooting Methods for Parameter Estimation of Output Error Models (2017). Antônio H. Ribeiro, Luis A. Aguirre. IFAC World Congress. [doi] - [poster] - [code]
[C19] Selecting transients automatically for the identification of models for an oil well (2015). Antônio H. Ribeiro, Luis A. Aguirre. IFAC Workshop on Automatic Control in Offshore Oil and Gas Production. [doi] - [slides]

Peer-reviewed but non-archival workshop papers

[W1] Amplified Early Stopping Bias: Overestimated Performance with Deep Learning (2024). Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Danica Kragic. NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning. [open review]
[W2] ResNet-based ECG Diagnosis of Myocardial Infarction in the Emergency Department (2021). Daniel Gedon, Stefan Gustafsson, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström. Machine learning from ground truth: New medical imaging datasets for unsolved medical problems Workshop at NeurIPS. [extended abstract] - [slides]
[W3] Deep Energy-Based NARX Models (2021). Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön. Workshop on Nonlinear System Identification. [book of abstracts] - [slides]
[W4] Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics (2021). Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön. Workshop on Nonlinear System Identification. [book of abstracts] - [slides]
[W5] Overparametrized Regression Under L2 Adversarial Attacks (2021). Antonio H Ribeiro, Thomas B Schön. Workshop on the Theory of Overparameterized Machine Learning (TOPML). [abstract] - [slides]
[W6] Deep Convolutional Networks are Useful in System Identification (2019). Antonio H Ribeiro, Carl Andersson, Koen Tiels, Niklas Wahlstrom, Thomas B Schon. Workshop on Nonlinear System Identification. [extended abstract] - [slides]
[W7] Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network (2018). 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. [arXiv] - [poster]