Antônio H. Ribeiro

55 papers A* 4A 2C 1Misc 2Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anytime-Valid Conformal Risk Control. CoRR Bror Hultberg, Dave Zachariah, Antônio H. Ribeiro
2025	J	`jnl`	CODE-II: A large-scale dataset for artificial intelligence in ECG analysis. CoRR Petrus E. O. G. B. Abreu, Gabriela M. M. Paixão, Jiawei Li, Paulo R. Gomes, Peter W. Macfarlane, Ana C. S. Oliveira, Vinicius T. Carvalho, Thomas B. Schön, Antônio Luiz P. Ribeiro, Antônio H. Ribeiro
2025	—	`conf`	Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model. AIME (2) 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, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Arunashis Sau, Fu Siong Ng
2025	J	`jnl`	Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms. CoRR Gul Rukh Khattak, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi, Ahmed El-Medany, Hesham Aggour, Yixiu Liang, Antônio H. Ribeiro, Jeffrey Annis, Antônio Luiz Pinho Ribeiro, Junbo Ge, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Nicholas S. Peters, Fu Siong Ng, Arunashis Sau
2025	Misc	`conf`	Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets. ICASSP Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Danica Kragic
2025	J	`jnl`	Deep networks for system identification: A survey. Autom. Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2025	J	`jnl`	Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025. CoRR Matthew A. Reyna, Zuzana Koscova, Jan Pavlus, Soheil Saghafi, James Weigle, Andoni Elola, Salman Seyedi, Kiersten Campbell, Qiao Li, Ali Bahrami Rad, Antônio H. Ribeiro, Antonio Luiz P. Ribeiro, Reza Sameni, Gari D. Clifford
2025	A	`conf`	Efficient Optimization Algorithms for Linear Adversarial Training. AISTATS Antônio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach
2025	J	`jnl`	Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study. npj Digit. Medicine Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher
2025	J	`jnl`	Explaining deep learning for ECG using time-localized clusters. CoRR Ahcène Boubekki, Konstantinos Patlatzoglou, Joseph Barker, Fu Siong Ng, Antônio H. Ribeiro
2025	A*	`conf`	Human-Aligned Image Models Improve Visual Decoding from the Brain. ICML Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic
2025	J	`jnl`	Human-Aligned Image Models Improve Visual Decoding from the Brain. CoRR Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic
2025	J	`jnl`	Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization. CoRR Antônio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis R. Bach
2025	J	`jnl`	On the Interaction of Compressibility and Adversarial Robustness. CoRR Melih Barsbey, Antônio H. Ribeiro, Umut Simsekli, Tolga Birdal
2025	J	`jnl`	Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. CoRR Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton
2025	J	`jnl`	The cost of explainability in artificial intelligence-enhanced electrocardiogram models. npj Digit. Medicine Konstantinos Patlatzoglou, Libor Pastika, Joseph Barker, Ewa Sieliwonczyk, Gul Rukh Khattak, Boroumand Zeidaabadi, Antônio H. Ribeiro, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng
2024	J	`jnl`	Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. npj Digit. Medicine 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, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng
2024	A*	`conf`	Can Transformers Smell Like Humans? NeurIPS Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Can Transformers Smell Like Humans? CoRR Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Efficient Optimization Algorithms for Linear Adversarial Training. CoRR Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis R. Bach
2024	A*	`conf`	No Double Descent in Principal Component Regression: A High-Dimensional Analysis. ICML Daniel Gedon, Antônio H. Ribeiro, Thomas B. Schön
2023	J	`jnl`	Deep networks for system identification: a Survey. CoRR Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2023	J	`jnl`	End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön
2023	J	`jnl`	Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
2023	J	`jnl`	Invertible Kernel PCA with Random Fourier Features. CoRR Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
2023	J	`jnl`	On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG. IEEE Trans. Biomed. Eng. Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
2023	J	`jnl`	Overparameterized Linear Regression Under Adversarial Attacks. IEEE Trans. Signal Process. Antônio H. Ribeiro, Thomas B. Schön
2023	A*	`conf`	Regularization properties of adversarially-trained linear regression. NeurIPS Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	Regularization properties of adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2022	J	`jnl`	ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. CoRR Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön
2022	J	`jnl`	On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG. CoRR Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
2022	J	`jnl`	Overparameterized Linear Regression under Adversarial Attacks. CoRR Antônio H. Ribeiro, Thomas B. Schön
2022	J	`jnl`	Surprises in adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön
2021	—	`conf`	First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
2021	Misc	`conf`	How Convolutional Neural Networks Deal with Aliasing. ICASSP Antônio H. Ribeiro, Thomas B. Schön
2021	J	`jnl`	How Convolutional Neural Networks Deal with Aliasing. CoRR Antônio H. Ribeiro, Thomas B. Schön
2020	—	`conf`	Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble. CinC Antônio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Wagner Meira Jr.
2020	J	`jnl`	Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. CoRR Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön
2020	A	`conf`	Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness. AISTATS Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön
2020	J	`jnl`	Contextualized interpretable machine learning for medical diagnosis. Commun. ACM Wagner Meira Jr., Antônio Luiz P. Ribeiro, Derick M. de Oliveira, Antônio H. Ribeiro
2020	J	`jnl`	Deep Energy-Based NARX Models. CoRR Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön
2020	—	`conf`	Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists. CinC Derick M. de Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M. M. Paixão, Antônio Luiz P. Ribeiro, Wagner Meira Jr.
2020	—	`conf`	Explaining End-to-End ECG Automated Diagnosis Using Contextual Features. ECML/PKDD (5) Derick M. de Oliveira, Antônio H. Ribeiro, João A. O. Pedrosa, Gabriela M. M. Paixão, Antônio Luiz P. Ribeiro, Wagner Meira Jr.
2020	J	`jnl`	On the smoothness of nonlinear system identification. Autom. Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre
2019	J	`jnl`	Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study. CoRR 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
2019	—	`conf`	Deep Convolutional Networks in System Identification. CDC Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
2019	J	`jnl`	Deep Convolutional Networks in System Identification. CoRR Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
2019	J	`jnl`	On the Smoothness of Nonlinear System Identification. CoRR Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre
2019	J	`jnl`	SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. CoRR 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, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan 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
2019	J	`jnl`	The trade-off between long-term memory and smoothness for recurrent networks. CoRR Antônio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schön
2018	J	`jnl`	"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training. Neurocomputing Antônio H. Ribeiro, Luis Antonio Aguirre
2018	J	`jnl`	Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network. CoRR 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
2018	C	`conf`	Lasso Regularization Paths for NARMAX Models via Coordinate Descent. ACC Antônio H. Ribeiro, Luis Antonio Aguirre
2017	J	`jnl`	"Parallel Training Considered Harmful?": Comparing Series-Parallel and Parallel Feedforward Network Training. CoRR Antônio H. Ribeiro, Luis Antonio Aguirre
2017	J	`jnl`	Lasso Regularization Paths for NARMAX Models via Coordinate Descent. CoRR Antônio H. Ribeiro, Luis Antonio Aguirre