Transfer Learning in ECG Diagnosis: Is It Effective?
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Cuong V., Do, Cuong D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
by: Nguyen, Cuong V., et al.
Published: (2023)
by: Nguyen, Cuong V., et al.
Published: (2023)
Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
by: Nguyen, Cuong V., et al.
Published: (2025)
by: Nguyen, Cuong V., et al.
Published: (2025)
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
Sequence Transferability and Task Order Selection in Continual Learning
by: Nguyen, Thinh, et al.
Published: (2025)
by: Nguyen, Thinh, et al.
Published: (2025)
MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
by: Hoang, Dung Anh, et al.
Published: (2022)
by: Hoang, Dung Anh, et al.
Published: (2022)
Coverage-Constrained Human-AI Cooperation with Multiple Experts
by: Zhang, Zheng, et al.
Published: (2024)
by: Zhang, Zheng, et al.
Published: (2024)
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
by: Le, Khiem, et al.
Published: (2024)
by: Le, Khiem, et al.
Published: (2024)
Learning in the Null Space: Small Singular Values for Continual Learning
by: Pham, Cuong Anh, et al.
Published: (2026)
by: Pham, Cuong Anh, et al.
Published: (2026)
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
by: Nguyen, Duc-Anh, et al.
Published: (2023)
by: Nguyen, Duc-Anh, et al.
Published: (2023)
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
by: Le, Khiem, et al.
Published: (2024)
by: Le, Khiem, et al.
Published: (2024)
Sharpness-Aware Data Generation for Zero-shot Quantization
by: Hoang-Anh, Dung, et al.
Published: (2025)
by: Hoang-Anh, Dung, et al.
Published: (2025)
Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)
by: Hoang, Dung Anh, et al.
Published: (2026)
Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques
by: Bui, Bao Q., et al.
Published: (2024)
by: Bui, Bao Q., et al.
Published: (2024)
Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy
by: Hurry, Christian John, et al.
Published: (2025)
by: Hurry, Christian John, et al.
Published: (2025)
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
by: Hong, Dang Nguyen, et al.
Published: (2026)
by: Hong, Dang Nguyen, et al.
Published: (2026)
Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
by: Hoang, Cuong Manh, et al.
Published: (2025)
by: Hoang, Cuong Manh, et al.
Published: (2025)
Provably Improving Generalization of Few-Shot Models with Synthetic Data
by: Nguyen, Lan-Cuong, et al.
Published: (2025)
by: Nguyen, Lan-Cuong, et al.
Published: (2025)
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
by: Dupuis, Tom, et al.
Published: (2023)
by: Dupuis, Tom, et al.
Published: (2023)
SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
by: Nguyen, Kien, et al.
Published: (2025)
by: Nguyen, Kien, et al.
Published: (2025)
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
by: Le, Khiem H., et al.
Published: (2022)
by: Le, Khiem H., et al.
Published: (2022)
Learning to Complement with Multiple Humans
by: Zhang, Zheng, et al.
Published: (2023)
by: Zhang, Zheng, et al.
Published: (2023)
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
by: Le, Van-Duc, et al.
Published: (2023)
by: Le, Van-Duc, et al.
Published: (2023)
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
by: Özdemir, Zeynep, et al.
Published: (2024)
by: Özdemir, Zeynep, et al.
Published: (2024)
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
by: Garg, Arpit, et al.
Published: (2023)
by: Garg, Arpit, et al.
Published: (2023)
DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
by: Neifar, Nour, et al.
Published: (2023)
by: Neifar, Nour, et al.
Published: (2023)
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization
by: Shivashankara, Kshama Kodthalu, et al.
Published: (2023)
by: Shivashankara, Kshama Kodthalu, et al.
Published: (2023)
Attention Transfer Is Not Universally Effective for Vision Transformers
by: Qin, Huaiyuan, et al.
Published: (2026)
by: Qin, Huaiyuan, et al.
Published: (2026)
Long-Tailed Learning for Generalized Category Discovery
by: Hoang, Cuong Manh
Published: (2025)
by: Hoang, Cuong Manh
Published: (2025)
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
by: Garg, Arpit, et al.
Published: (2023)
by: Garg, Arpit, et al.
Published: (2023)
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
by: Garg, Arpit, et al.
Published: (2025)
by: Garg, Arpit, et al.
Published: (2025)
k-NN as a Simple and Effective Estimator of Transferability
by: Sorkhei, Moein, et al.
Published: (2025)
by: Sorkhei, Moein, et al.
Published: (2025)
Deep Transfer Learning for Kidney Cancer Diagnosis
by: Habchi, Yassine, et al.
Published: (2024)
by: Habchi, Yassine, et al.
Published: (2024)
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
by: Vusirikala, Srivishnu, et al.
Published: (2024)
by: Vusirikala, Srivishnu, et al.
Published: (2024)
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand
by: Gupta, Hari Prabhat, et al.
Published: (2024)
by: Gupta, Hari Prabhat, et al.
Published: (2024)
Improving Diversity in Black-box Few-shot Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)
by: Vo, Tri-Nhan, et al.
Published: (2026)
Retrospective Feature Estimation for Continual Learning
by: Nguyen, Nghia D., et al.
Published: (2024)
by: Nguyen, Nghia D., et al.
Published: (2024)
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance
by: Yamaç, Mehmet, et al.
Published: (2022)
by: Yamaç, Mehmet, et al.
Published: (2022)
ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics
by: Parvan, Milad
Published: (2026)
by: Parvan, Milad
Published: (2026)
Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
by: Nguyen, Duy A., et al.
Published: (2025)
by: Nguyen, Duy A., et al.
Published: (2025)
Similar Items
-
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
by: Nguyen, Cuong V., et al.
Published: (2023) -
Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
by: Nguyen, Cuong V., et al.
Published: (2025) -
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024) -
Sequence Transferability and Task Order Selection in Continual Learning
by: Nguyen, Thinh, et al.
Published: (2025) -
MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)