An Efficient Optimized Feature Selection with Machine Learning Approach for ECG Biometric Recognition
Author:
Affiliation:
1. Department of ECE, Aditya Institute of Technology, Tekkali, AP 532201, India
2. Department of ECE, National Institute of Technology, Rourkela, Odisha 769008, India
3. Department of ECE, Andhra University, Tekkali, AP 532201, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2020.1725663
Reference21 articles.
1. A Multiscale Autoregressive Model-Based Electrocardiogram Identification Method
2. Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach
3. A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection
4. Heartbeat Classification Using Feature Selection Driven by Database Generalization Criteria
5. Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images
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