Blending Ensemble Learning Model for 12-Lead Electrocardiogram-Based Arrhythmia Classification by Hai-Long Nguyen, Van Su Pham, Hai-Chau Le

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Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks by Suzhao Bi, Rongjian Lu, Qiang Xu, Peiwen Zhang

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Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation by Jaewon Lee, Miyoung Shin

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Comparison of shallow and deep learning methods of ECG signals clas-sification for arrhythmia detection by Dodon Turianto Nugrahadi, Rudy Herteno, Dwi Kartini, Muhammad Haekal, Mohammad Reza Faisal

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Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning by Hasballah Zakaria, Elsa Sari Hayunah Nurdiniyah, Astri Maria Kurniawati, Dziban Naufal, Nana Sutisna

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Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images by Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, Yoshifumi Okada

Subjects: “…arrhythmia classification…”
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Intra- and Interpatient ECG Heartbeat Classification Based on Multimodal Convolutional Neural Networks with an Adaptive Attention Mechanism by Ítalo Flexa Di Paolo, Adriana Rosa Garcez Castro

Subjects: “…arrhythmia classification…”
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A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid

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Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems by Xiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu

Subjects: “…arrhythmia classification…”
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Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG by H. Solieman, S. Sali

Subjects: “…arrhythmia classification…”
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GAF-GradCAM: Guided dynamic weighted fusion of temporal and frequency GAF 2D matrices for ECG-based arrhythmia detection using deep learning by Zakaria Khatar, Dounia Bentaleb, Noreddine Abghour, Khalid Moussaid

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Research on ECG Signal Classification Based on Hybrid Residual Network by Tianyu Qi, He Zhang, Huijun Zhao, Chong Shen, Xiaochen Liu

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Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier by Ali Kirkbas, Aydin Kizilkaya

Subjects: “…arrhythmia classification…”
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