Direct Lead Assignment: A Simple and Scalable Contrastive Learning Method for ECG and Its IoMT Applications.

CoRanking: Collaborative Ranking with Small and Large Ranking Agents.

Lead-fusion Barlow twins: A fused self-supervised learning method for multi-lead electrocardiograms.

Self-supervised learning for Electrocardiogram classification using Lead Correlation and Decorrelation.

Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.

How to personalize and whether to personalize? Candidate documents decide.

SIGxCL: A Signal-Image-Graph Cross-Modal Contrastive Learning Framework for CVD Diagnosis Based on Internet of Medical Things.

ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD.

Learning Representations for Multilead Electrocardiograms From Morphology-Rhythm Contrast.

Honest-GE: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ECG.

An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection.

DDDG: A dual bi-directional knowledge distillation method with generative self-supervised pre-training and its hardware implementation on SoC for ECG.

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models.

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.

CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms.

Bootstrap each lead's latent: A novel method for self-supervised learning of multilead electrocardiograms.

Universal 12-lead ECG representation for signal denoising and cardiovascular disease detection by fusing generative and contrastive learning.

Dense lead contrast for self-supervised representation learning of multilead electrocardiograms.

MaeFE: Masked Autoencoders Family of Electrocardiogram for Self-Supervised Pretraining and Transfer Learning.

Large Language Models for Information Retrieval: A Survey.

A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC.

Lead Separation and Combination: A Novel Unsupervised 12-Lead ECG Feature Learning Framework for Internet of Medical Things.

Boost-Type Single-Stage Step-Down Resonant Power Factor Correction Converter.

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.

MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs.

A Real Time QRS Detection Algorithm Based on ET and PD Controlled Threshold Strategy.

Multi-information fusion neural networks for arrhythmia automatic detection.

A novel ECG signal compression method using spindle convolutional auto-encoder.

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.

Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram.