Lasso Regularization Paths for NARMAX Models via Coordinate Descent. - Antônio H. Ribeiro; Luis Antonio Aguirre (ACC, 2018)

Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network. - Antônio H. Ribeiro; Manoel Horta Ribeiro; Gabriela Paixão; Derick M. de Oliveira; Paulo R. Gomes; Jéssica A. Canazart; Milton P. S. Ferreira; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (CoRR, 2018)

"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training. - Antônio H. Ribeiro; Luis Antonio Aguirre (Neurocomputing, 2018)

Deep Convolutional Networks in System Identification. - Carl R. Andersson; Antônio H. Ribeiro; Koen Tiels; Niklas Wahlström; Thomas B. Schön (CDC, 2019)

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. de Oliveira; Paulo R. Gomes; Jéssica A. Canazart; Milton P. S. Ferreira; Carl R. Andersson; Peter W. Macfarlane; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (CoRR, 2019)

The trade-off between long-term memory and smoothness for recurrent networks. - Antônio H. Ribeiro; Koen Tiels; Luis Antonio Aguirre; Thomas B. Schön (CoRR, 2019)

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 van der Walt; Matthew Brett; et al. (CoRR, 2019)

Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness. - Antônio H. Ribeiro; Koen Tiels; Luis Antonio Aguirre; Thomas B. Schön (AISTATS, 2020)

Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists. - Derick M. de Oliveira; Antônio H. Ribeiro; João A. O. Pedrosa; Gabriela M. M. Paixão; Antônio Luiz P. Ribeiro; Wagner Meira Jr. (CinC, 2020)

Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble. - Antônio H. Ribeiro; Daniel Gedon; Daniel Martins Teixeira; Manoel Horta Ribeiro; Antônio Luiz Pinho Ribeiro; Thomas B. Schön; Wagner Meira Jr. (CinC, 2020)

Explaining End-to-End ECG Automated Diagnosis Using Contextual Features. - Derick M. de Oliveira; Antônio H. Ribeiro; João A. O. Pedrosa; Gabriela M. M. Paixão; Antônio Luiz P. Ribeiro; Wagner Meira Jr. (ECML/PKDD (5), 2020)

On the smoothness of nonlinear system identification. - Antônio H. Ribeiro; Koen Tiels; Jack Umenberger; Thomas B. Schön; Luis Antonio Aguirre (Autom., 2020)

Contextualized interpretable machine learning for medical diagnosis. - Wagner Meira Jr.; Antônio Luiz P. Ribeiro; Derick M. de Oliveira; Antônio H. Ribeiro (Commun. ACM, 2020)

Deep Energy-Based NARX Models. - Johannes N. Hendriks; Fredrik K. Gustafsson; Antônio H. Ribeiro; Adrian G. Wills; Thomas B. Schön (CoRR, 2020)

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. - Antônio H. Ribeiro; Johannes N. Hendriks; Adrian G. Wills; Thomas B. Schön (CoRR, 2020)

Annotated 12 lead ECG dataset. - Antônio H. Ribeiro; Manoel Horta Ribeiro; Gabriela M. M. Paixão; Derick M. de Oliveira; Paulo R. Gomes; Jéssica A. Canazart; Milton P. S. Ferreira; Carl R. Andersson; Peter W. Macfarlane; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (Zenodo, 2020)

Annotated 12-lead ECG dataset. - Antônio H. Ribeiro; Manoel Horta Ribeiro; Gabriela M. M. Paixão; Derick M. de Oliveira; Paulo R. Gomes; Jéssica A. Canazart; Milton P. S. Ferreira; Carl R. Andersson; Peter W. Macfarlane; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (Zenodo, 2020)

Annotated 12-lead ECG dataset. - Antônio H. Ribeiro; Manoel Horta Ribeiro; Gabriela M. M. Paixão; Derick M. de Oliveira; Paulo R. Gomes; Jéssica A. Canazart; Milton P. S. Ferreira; Carl R. Andersson; Peter W. Macfarlane; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (Zenodo, 2020)

CODE-test: An annotated 12-lead ECG dataset. - Antônio H. Ribeiro; Manoel Horta Ribeiro; Gabriela M. M. Paixão; Derick M. de Oliveira; Paulo R. Gomes; Jéssica A. Canazart; Milton P. S. Ferreira; Carl R. Andersson; Peter W. Macfarlane; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (Zenodo, 2020)

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. - Daniel Gedon; Antônio H. Ribeiro; Niklas Wahlström; Thomas B. Schön (CinC, 2021)

How Convolutional Neural Networks Deal with Aliasing. - Antônio H. Ribeiro; Thomas B. Schön (ICASSP, 2021)

CODE-15%: a large scale annotated dataset of 12-lead ECGs. - Antônio H. Ribeiro; Gabriela M. M. Paixão; Emilly M. Lima; Manoel Horta Ribeiro; Marcelo M. Pinto Filho; Paulo R. Gomes; Derick M. de Oliveira; Wagner Meira Jr.; Thomas B. Schön; Antônio Luiz P. Ribeiro (Zenodo, 2021)

Sami-Trop: 12-lead ECG traces with age and mortality annotations. - Antônio Luiz P. Ribeiro; Antônio H. Ribeiro; Gabriela M. M. Paixão; Emilly M. Lima; Manoel Horta Ribeiro; Marcelo M. Pinto Filho; Paulo R. Gomes; Derick M. de Oliveira; Wagner Meira Jr.; Thomas B. Schön; Ester C. Sabino (Zenodo, 2021)

Surprises in adversarially-trained linear regression. - Antônio H. Ribeiro; Dave Zachariah; Thomas B. Schön (CoRR, 2022)

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. - Philipp Von Bachmann; Daniel Gedon; Fredrik K. Gustafsson; Antônio H. Ribeiro; Erik Lampa; Stefan Gustafsson; Johan Sundström; Thomas B. Schön (CoRR, 2022)

Regularization properties of adversarially-trained linear regression. - Antônio H. Ribeiro; Dave Zachariah; Francis R. Bach; Thomas B. Schön (NeurIPS, 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; Antônio Luiz Pinho Ribeiro; Thomas B. Schön (CoRR, 2023)

Invertible Kernel PCA With Random Fourier Features. - Daniel Gedon; Antônio H. Ribeiro; Niklas Wahlström; Thomas B. Schön (IEEE Signal Process. Lett., 2023)

Overparameterized Linear Regression Under Adversarial Attacks. - Antônio H. Ribeiro; Thomas B. Schön (IEEE Trans. Signal Process., 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; Antônio Luiz P. Ribeiro; Joachim A. Behar (IEEE Trans. Biomed. Eng., 2023)

No Double Descent in Principal Component Regression: A High-Dimensional Analysis. - Daniel Gedon; Antônio H. Ribeiro; Thomas B. Schön (ICML, 2024)

Can Transformers Smell Like Humans? - Farzaneh Taleb; Miguel Vasco; Antônio H. Ribeiro; Mårten Björkman; Danica Kragic (NeurIPS, 2024)

Efficient Optimization Algorithms for Linear Adversarial Training. - Antônio H. Ribeiro; Thomas B. Schön; Dave Zahariah; Francis R. Bach (CoRR, 2024)

Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. - Libor Pastika; Arunashis Sau; Konstantinos Patlatzoglou; Ewa Sieliwonczyk; Antônio H. Ribeiro; Kathryn A. McGurk; Sadia Khan; Danilo P. Mandic; William R. Scott; James S. Ware; Nicholas S. Peters; Antônio Luiz P. Ribeiro; et al. (npj Digit. Medicine, 2024)

Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model. - Gul Rukh Khattak; Konstantinos Patlatzoglou; Yixiu Liang; Libor Pastika; Boroumand Zeidaabadi; Joseph Barker; Mehak Gurnani; Antônio H. Ribeiro; Jeffrey Annis; Antônio L. P. Ribeiro; Nicholas S. Peters; Junbo Ge; et al. (AIME (2), 2025)

Efficient Optimization Algorithms for Linear Adversarial Training. - Antônio H. Ribeiro; Thomas B. Schön; Dave Zachariah; Francis Bach 001 (AISTATS, 2025)

Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets. - Nona Rajabi; Antônio H. Ribeiro; Miguel Vasco; Danica Kragic (ICASSP, 2025)

Deep networks for system identification: A survey. - Gianluigi Pillonetto; Aleksandr Y. Aravkin; Daniel Gedon; Lennart Ljung; Antônio H. Ribeiro; Thomas B. Schön (Autom., 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 (npj Digit. Medicine, 2025)

Human-Aligned Image Models Improve Visual Decoding from the Brain. - Nona Rajabi; Antônio H. Ribeiro; Miguel Vasco; Farzaneh Taleb; Mårten Björkman; Danica Kragic (CoRR, 2025)

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. - Xiao Gu 003; Wei Tang; Jinpei Han; Veer Sangha; Fenglin Liu; Shreyank N. Gowda; Antônio H. Ribeiro; Patrick Schwab; Kim Branson 001; Lei A. Clifton; Antonio Luiz P. Ribeiro; Zhangdaihong Liu; et al. (CoRR, 2025)

On the Interaction of Compressibility and Adversarial Robustness. - Melih Barsbey; Antônio H. Ribeiro; Umut Simsekli; Tolga Birdal (CoRR, 2025)