Cover Image

EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Yuhao, Wang, Xiaoda, Lu, Jiaying, Ding, Sirui, Cao, Defu, Yao, Huaxiu, Liu, Yan, Hu, Xiao, Yang, Carl
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings
by: Xu, Yuhao, et al.
Published: (2025)

ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
by: Xu, Yuhao, et al.
Published: (2026)

Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
by: Wang, Xiaoda, et al.
Published: (2025)

ECG-FM: An Open Electrocardiogram Foundation Model
by: McKeen, Kaden, et al.
Published: (2024)

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
by: Yang, Wei, et al.
Published: (2025)

PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
by: Wang, Xiaoda, et al.
Published: (2026)

TolerantECG: A Foundation Model for Imperfect Electrocardiogram
by: Nguyen, Huynh Dang, et al.
Published: (2025)

EfficientECG: Cross-Attention with Feature Fusion for Efficient Electrocardiogram Classification
by: Deng, Hanhui, et al.
Published: (2025)

Lightweight Multi-task CNN for ECG Diagnosis with GRU-Diffusion
by: Xu, Lehuai, et al.
Published: (2025)

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling
by: Han, William, et al.
Published: (2024)

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
by: Gao, Hongxiang, et al.
Published: (2023)

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
by: Gao, Yuan, et al.
Published: (2025)

Deep Learning for Personalized Electrocardiogram Diagnosis: A Review
by: Ding, Cheng, et al.
Published: (2024)

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
by: Pokharel, Atit, et al.
Published: (2024)

ECG-NAT: A Self-supervised Neighborhood Attention Transformer for Multi-lead Electrocardiogram Classification
by: Gazeran, Mahsa, et al.
Published: (2026)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
by: Wan, Zhongwei, et al.
Published: (2024)

Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology
by: Qi Zeng, et al.
Published: (2026)

The Partition Principle Revisited: Non-Equal Volume Designs Achieve Minimal Expected Star Discrepancy
by: Xu, Xiaoda
Published: (2026)

Weighted $L_p$-Discrepancy Bounds for Parametric Stratified Sampling and Applications to High-Dimensional Integration
by: Xu, Xiaoda
Published: (2025)

Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors
by: Gkikas, Stefanos, et al.
Published: (2024)

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
by: Thambawita, Vajira, et al.
Published: (2026)

CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models
by: Shu, Yuxuan, et al.
Published: (2025)

ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
by: Nguyen, Phu X., et al.
Published: (2025)

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
by: Cao, Defu, et al.
Published: (2024)

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization
by: Shivashankara, Kshama Kodthalu, et al.
Published: (2023)

OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
by: Wan, Zhijiang, et al.
Published: (2025)

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare
by: Xie, Yuzhang, et al.
Published: (2025)

A Systematic Review on Foundation Models for Electrocardiogram Analysis: Initial Strides and Expansive Horizons
by: Han, Yu, et al.
Published: (2024)

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
by: Le, Khiem H., et al.
Published: (2022)

AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
by: Wang, Yue, et al.
Published: (2024)

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)

Large Language Models Powered Multiagent Ensemble for Mitigating Hallucination and Efficient Atrial Fibrillation Annotation of ECG Reports
by: Huang, Jingwei, et al.
Published: (2024)

BioMedJImpact: A Comprehensive Dataset and LLM Pipeline for AI Engagement and Scientific Impact Analysis of Biomedical Journals
by: Wang, Ruiyu, et al.
Published: (2025)

Structured Difference-of-Q via Orthogonal Learning
by: Cao, Defu, et al.
Published: (2024)

REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation
by: Yuan, Puzhen, et al.
Published: (2025)

Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
by: Yang, Wei, et al.
Published: (2026)

$C^3$: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding
by: Lu, Taixi, et al.
Published: (2024)

Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
by: Meng, Zeyuan, et al.
Published: (2025)

Expected star discrepancy based on stratified sampling
by: Xu, Xiaoda, et al.
Published: (2025)

Sharp Non-Asymptotic Bounds for the Star Discrepancy of Double-Infinite Random Matrices via Optimal Covering Numbers
by: Xu, Xiaoda, et al.
Published: (2025)