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https://doi.org/10.2139/ssrn.4047858

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s13246-017-0612-9openalex-extracted
A principal component analysis based data fusion method for ECG-derived respiration from single-lead ECG
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.02.008openalex-extracted
Development of an automaton model of rotational activity driving atrial fibrillation
inferredcites →https://doi.org/10.1016/j.compbiomed.2018.03.016openalex-extracted
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
inferredcites →https://doi.org/10.1016/j.eswa.2010.04.087openalex-extracted
ECG beat classification using particle swarm optimization and radial basis function neural network
inferredcites →https://doi.org/10.1016/j.future.2019.09.012openalex-extracted
A deep learning approach for atrial fibrillation signals classification based on convolutional and modified Elman neural network
inferredcites →https://doi.org/10.1016/j.ins.2017.04.012openalex-extracted
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
inferredcites →https://doi.org/10.1016/j.ins.2020.03.041openalex-extracted
Privacy preservation for machine learning training and classification based on homomorphic encryption schemes
inferredcites →https://doi.org/10.1016/j.ins.2020.03.089openalex-extracted
Anomaly detection in electronic invoice systems based on machine learning
inferredcites →https://doi.org/10.1016/j.ins.2021.11.066openalex-extracted
Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication
inferredcites →https://doi.org/10.1016/j.jacc.2017.07.723openalex-extracted
Computer-Interpreted Electrocardiograms
inferredcites →https://doi.org/10.1016/j.neucom.2018.06.084openalex-extracted
Multi-task deep convolutional neural network for cancer diagnosis
inferredcites →https://doi.org/10.1016/j.neucom.2020.07.056openalex-extracted
An End-to-End Multi-Level Wavelet Convolutional Neural Networks for heart diseases diagnosis
inferredcites →https://doi.org/10.1016/j.neunet.2020.07.025openalex-extracted
Deep learning on image denoising: An overview
inferredcites →https://doi.org/10.1016/s0893-6080(98)00010-0openalex-extracted
Automatic early stopping using cross validation: quantifying the criteria
inferredcites →https://doi.org/10.1049/el.2010.3191openalex-extracted
Improved ECG compression method using discrete cosine transform
inferredcites →https://doi.org/10.1051/matecconf/20165410001openalex-extracted
Detection of R-Peaks in ECG Signal by Adaptive Linear Neuron (ADALINE) Artificial Neural Network
inferredcites →https://doi.org/10.1080/03610926.2019.1568485openalex-extracted
On the confusion matrix in credit scoring and its analytical properties
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.683openalex-extracted
Residual Attention Network for Image Classification
inferredcites →https://doi.org/10.1109/cvpr.2018.00647openalex-extracted
MegDet: A Large Mini-Batch Object Detector
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-extracted
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/icosc.2017.7958696openalex-extracted
An improved QRS detection method using Hidden Markov Models
inferredcites →https://doi.org/10.1109/ises50453.2020.00044openalex-extracted
Classification of Normal and Abnormal ECG signals using Support Vector Machine and Fourier Decomposition Method
inferredcites →https://doi.org/10.1109/itme.2016.0109openalex-extracted
Construction and Application of New Intelligent MOOC Teaching System Based on Deep Learning Neural Network in Remote Sensing Course
inferredcites →https://doi.org/10.1109/iwcmc.2018.8450361openalex-extracted
An Enhanced Random Forest for Cardiac Diseases Identification based on ECG signal
inferredcites →https://doi.org/10.1109/jbhi.2018.2871510openalex-extracted
Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks
inferredcites →https://doi.org/10.1109/splitech.2016.7555930openalex-extracted
Cardiac arrhythmia detection using DCT based compressive sensing and random forest algorithm
inferredcites →https://doi.org/10.1109/tim.2016.2642758openalex-extracted
ECG Signal Analysis Using DCT-Based DOST and PSO Optimized SVM
inferredcites →https://doi.org/10.1109/wispnet.2016.7566382openalex-extracted
An iterative method of Ensemble Empirical Mode Decomposition for enhanced ECG signal denoising
inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-extracted
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
inferredcites →https://doi.org/10.1371/journal.pone.0118432openalex-extracted
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
inferredcites →https://doi.org/10.22489/cinc.2017.065-469openalex-extracted
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017
inferredcites →https://doi.org/10.3233/jifs-171742openalex-extracted
Rough set machine translation using deep structure and transfer learning
inferredcites →https://doi.org/10.3390/s20072136openalex-extracted
Detection of Atrial Fibrillation Using 1D Convolutional Neural Network
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1805.11604openalex-extracted
How Does Batch Normalization Help Optimization?

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121991openalex-snapshot
Prediction of plant LncRNA-protein interactions based on feature fusion and an improved residual network
inferred← citeshttps://doi.org/10.1016/j.jelectrocard.2025.153876openalex-snapshot
Residual-attention deep learning model for atrial fibrillation detection from Holter recordings
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