Antônio H. Ribeiro

Daniel B. Kramer

Jonathan W. Waks

Fu Siong Ng

npj Digit. Medicine, 2024

Can Transformers Smell Like Humans?

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Optimization Algorithms for Linear Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2024

No Double Descent in Principal Component Regression: A High-Dimensional Analysis.

[BibT_eX]

[DOI]

Daniel Gedon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

[BibT_eX]

[DOI]

Eran Zvuloni

Jesse Read

Joachim A. Behar

IEEE Trans. Biomed. Eng., July, 2023

Overparameterized Linear Regression Under Adversarial Attacks.

[BibT_eX]

[DOI]

Antônio Luiz Pinho Ribeiro

IEEE Trans. Signal Process., 2023

Invertible Kernel PCA With Random Fourier Features.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Regularization properties of adversarially-trained linear regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods.

[BibT_eX]

[DOI]

Philipp Von Bachmann

Daniel Gedon

Fredrik K. Gustafsson

CoRR, 2022

Surprises in adversarially-trained linear regression.

[BibT_eX]

[DOI]

Dave Zachariah

CoRR, 2022

2021

Sami-Trop: 12-lead ECG traces with age and mortality annotations.

[BibT_eX]

[DOI]

Emilly M. Lima

Marcelo M. Pinto Filho

Ester C. Sabino

Dataset, June, 2021

CODE-15%: a large scale annotated dataset of 12-lead ECGs.

[BibT_eX]

[DOI]

Emilly M. Lima

Marcelo M. Pinto Filho

Dataset, June, 2021

How Convolutional Neural Networks Deal with Aliasing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

CODE-test: An annotated 12-lead ECG dataset.

[BibT_eX]

[DOI]

Dataset, January, 2020

Annotated 12-lead ECG dataset.

[BibT_eX]

[DOI]

Dataset, January, 2020

Annotated 12-lead ECG dataset.

[BibT_eX]

[DOI]

Dataset, January, 2020

Annotated 12 lead ECG dataset.

[BibT_eX]

[DOI]

Dataset, January, 2020

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Energy-Based NARX Models.

[BibT_eX]

[DOI]

Johannes N. Hendriks

Fredrik K. Gustafsson

Adrian G. Wills

CoRR, 2020

Contextualized interpretable machine learning for medical diagnosis.

[BibT_eX]

[DOI]

Commun. ACM, 2020

On the smoothness of nonlinear system identification.

[BibT_eX]

[DOI]

Autom., 2020

Explaining End-to-End ECG Automated Diagnosis Using Contextual Features.

[BibT_eX]

[DOI]

João A. O. Pedrosa

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble.

[BibT_eX]

[DOI]

Daniel Gedon

Daniel Martins Teixeira

Antônio Luiz Pinho Ribeiro

Proceedings of the Computing in Cardiology, 2020

Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists.

[BibT_eX]

[DOI]

João A. O. Pedrosa

Proceedings of the Computing in Cardiology, 2020

Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.

[BibT_eX]

[DOI]

CoRR, 2019

The trade-off between long-term memory and smoothness for recurrent networks.

[BibT_eX]

[DOI]

CoRR, 2019

Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Convolutional Networks in System Identification.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training.

[BibT_eX]

[DOI]

Luis Antonio Aguirre

Neurocomputing, 2018

Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network.

[BibT_eX]

[DOI]

Gabriela Paixão

CoRR, 2018

Lasso Regularization Paths for NARMAX Models via Coordinate Descent.

[BibT_eX]

[DOI]