Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks.

CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training.

Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images.

HITS: Binarizing physiological time series with deep hashing neural network.

Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network.

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training.

A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings.

MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs.

Building and training a deep spiking neural network for ECG classification.

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management.

Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates.

CardioID: learning to identification from electrocardiogram data.

Game-theoretic analysis for an emission-dependent supply chain in a 'cap-and-trade' system.