Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation-Reference-Cited by-同舟云学术

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Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation

Published:2024-01-08 Issue: Volume: Page:0527-0533
ISSN:
Container-title:2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Das Saikat¹,Das Raktim Ranjan²,Sheldon Frederick T.³,Shiva Sajjan⁴

Affiliation:

1. Utah Valley University,Department of Computer Scinece,Orem,UT,USA

2. Stamford University,Department of Computer Science and Engineering,Bangladesh

3. University of Idaho,Department of Computer Science,Moscow,ID,USA

4. The University of Memphis,Department of Computer Science,Memphis,TN,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426790/10427556/10427828.pdf?arnumber=10427828

Reference34 articles.

1. “Why Should I Trust You?”: Explaining the Predictions of Any Classifier

2. DDoS Intrusion Detection Through Machine Learning Ensemble

3. A Holistic Approach for Detecting DDoS Attacks by Using Ensemble Unsupervised Machine Learning

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