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Cardiac Arrhythmia Classification by Multi-Layer Perceptron and Convolution Neural Networks

May 2, 2020 vemamian Leave a comment

Cardiac Arrhythmia Classification by Multi-Layer Perceptron and Convolution Neural Networks

Shalin Savalia 1,* and Vahid Emamian 2

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About the PI

Vahid Emamian, Ph.D.

Dr. Emamian office is Ritcher-Math Building, Room 223 • San Antonio, TX 78228 • 210-431-2049 • http://sites.stmarytx.edu/vemamian

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Application of Convolutional Neural Network and Deep Learning for Detection of Cardiac Arrhythmia Heart Disease
CLASSIFICATION OF CARDIAC ARRHYTHMIA USING A 2D CONVOLUTIONAL NEURAL NETWORK
Cardiac Arrhythmia Classification by Multi-Layer Perceptron and Convolution Neural Networks
PUBLICATIONS IN MACHINE LEARNING, DEEP LEARNING, AND NEURAL NETWORKS
Deep Learning, Machine Learning, and AI
Machine Learning Research
University gets $268K grant to enhance deep learning

Deep Learning | Machine Learning | Artificial Intellegence

Recent Posts
Machine Learning Publications
Access Request to Deep Learning Platform
University gets $268K grant to enhance deep learning
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