Cover Image

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Le, Khiem H., Pham, Hieu H., Nguyen, Thao BT., Nguyen, Tu A., Thanh, Tien N., Do, Cuong D.
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
by: Nguyen, Cuong V., et al.
Published: (2025)

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

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
by: Nguyen, Cuong V., et al.
Published: (2023)

Transfer Learning in ECG Diagnosis: Is It Effective?
by: Nguyen, Cuong V., et al.
Published: (2024)

X-SHIELD: Regularization for eXplainable Artificial Intelligence
by: Sevillano-García, Iván, et al.
Published: (2024)

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
by: Nguyen, Dac Thai, et al.
Published: (2024)

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
by: Nguyen, Huyen, et al.
Published: (2025)

VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning
by: Nguyen, Dang H., et al.
Published: (2025)

TabReX : Tabular Referenceless eXplainable Evaluation
by: Anvekar, Tejas, et al.
Published: (2025)

Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning
by: Pham, Ha-Hieu, et al.
Published: (2026)

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
by: Hong, Dang Nguyen, et al.
Published: (2026)

Extremality of families of sets and set-valued optimization
by: Cuong, Nguyen Duy, et al.
Published: (2024)

Extremality of families of sets
by: Cuong, Nguyen Duy, et al.
Published: (2024)

XANE: eXplainable Acoustic Neural Embeddings
by: Dumpala, Sri Harsha, et al.
Published: (2024)

Human-Centric eXplainable AI in Education
by: Maity, Subhankar, et al.
Published: (2024)

XPose: eXplainable Human Pose Estimation
by: Qiu, Luyu, et al.
Published: (2024)

Xi–Lorenz eXplainable Artificial Intelligence
by: Paolo Giudici, et al.
Published: (2026)

A Cost-Optimization Model for EV Charging Stations Utilizing Solar Energy and Variable Pricing
by: Nguyen, An, et al.
Published: (2025)

ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
by: Nguyen, Trong-Hieu, et al.
Published: (2024)

eXIAA: eXplainable Injections for Adversarial Attack
by: Pesce, Leonardo, et al.
Published: (2025)

XABPs: Towards eXplainable Autonomous Business Processes
by: Fettke, Peter, et al.
Published: (2025)

ICX360: In-Context eXplainability 360 Toolkit
by: Wei, Dennis, et al.
Published: (2025)

eXplainable Bayesian Multi-Perspective Generative Retrieval
by: Song, EuiYul, et al.
Published: (2024)

MUPAX: Multidimensional Problem Agnostic eXplainable AI
by: Dentamaro, Vincenzo, et al.
Published: (2025)

X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
by: Zhang, Qi, et al.
Published: (2026)

X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents
by: Tian, Lin, et al.
Published: (2025)

Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
by: Tran, Trong Khiem, et al.
Published: (2026)

Tuning the optoelectronic and magnetic properties of Penta-PtN2 nanoribbons via edge engineering and defects
by: My, Le Thi Thuy, et al.
Published: (2026)

Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
by: Nguyen, Duc T., et al.
Published: (2026)

FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)

X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection
by: Chen, Yize, et al.
Published: (2024)

eXplainable Artificial Intelligence for RL-based Networking Solutions
by: Murcia, Yeison Stiven, et al.
Published: (2025)

XXAI: Towards eXplicitly eXplainable Artificial Intelligence
by: Kalmykov, V. L., et al.
Published: (2024)

AXCEL: Automated eXplainable Consistency Evaluation using LLMs
by: Sreekar, P Aditya, et al.
Published: (2024)

MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification
by: Cao, Tue M., et al.
Published: (2024)

RBCTest: Leveraging LLMs to Mine and Verify Oracles of API Response Bodies for RESTful API Testing
by: Huynh, Hieu, et al.
Published: (2025)

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques
by: Bui, Bao Q., et al.
Published: (2024)

Symmetry-Driven Valleytronics in Single-Layer Tin Chalcogenides
by: Dien, Vo Khuong, et al.
Published: (2024)

Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
by: Pham, Cuong, et al.
Published: (2025)