Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach
Author:
Affiliation:
1. Nottingham Trent University,Department of Computer Science,Nottingham,UK,NG11 8NS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892714.pdf?arnumber=9892714
Reference33 articles.
1. SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals
2. Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials
3. A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
4. SENSE: a Student Performance Quantifier using Sentiment Analysis
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