Yanrui Jin
Orcid: 0000-0001-9489-5447
According to our database1,
Yanrui Jin
authored at least 25 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Biomed. Signal Process. Control., January, 2024
Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data.
IEEE Trans. Instrum. Meas., 2024
Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models.
Eng. Appl. Artif. Intell., 2024
M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion.
Eng. Appl. Artif. Intell., 2024
Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks.
Biomed. Signal Process. Control., 2024
Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs.
Appl. Soft Comput., 2024
Appl. Soft Comput., 2024
2023
A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning.
Appl. Intell., November, 2023
Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module.
CAAI Trans. Intell. Technol., September, 2023
Biomed. Signal Process. Control., 2023
Proceedings of the Fuzzy Systems and Data Mining IX, 2023
Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023
Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023
A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023
Proceedings of the Fuzzy Systems and Data Mining IX, 2023
2022
A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection.
IEEE Trans. Instrum. Meas., 2022
An efficient neural network-based method for patient-specific information involved arrhythmia detection.
Knowl. Based Syst., 2022
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks.
Comput. Biol. Medicine, 2022
2021
A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples.
IEEE Trans. Instrum. Meas., 2021
Deep domain adversarial residual neural network for sustainable wind turbine cyber-physical system fault diagnosis.
Softw. Pract. Exp., 2021
Precise and efficient heartbeat classification using a novel lightweight-modified method.
Biomed. Signal Process. Control., 2021
2020
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection.
Knowl. Based Syst., 2020
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks.
Knowl. Based Syst., 2020
2019
Automated Heartbeat Classification Based on Convolutional Neural Network with Multiple Kernel Sizes.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019