An Evolutionary Algorithm-Based Neural Architecture Search for Feature Separation in Classification Problems-Reference-Cited by-同舟云学术

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An Evolutionary Algorithm-Based Neural Architecture Search for Feature Separation in Classification Problems

Published:2023-11-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
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Author:

Zhang Qing¹,Luo YingMing¹,Gong Guoliang²,Lin Lin³

Affiliation:

1. School of Software, Dalian University of Technology,Dalian,China,116620

2. Alibaba Limited,Hangzhou,China,310099

3. DUT-RU International School of Information Scienceand Engineering, Dalian University of Technology,Key Laboratory for Ubiquitous Network and ServicSoftware of Liaoning Province,Dalian,China,116620

Funder

National Key RD Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490445/10490449/10490799.pdf?arnumber=10490799

Reference20 articles.

1. An adaptive machine learning algorithm for the resource-constrained classification problem

2. Learning the transfer function in binary metaheuristic algorithm for feature selection in classification problems

3. Gene Selection in Binary Classification Problems Within Functional Genomics Experiments via Robust Fisher Score

4. Detection and classification of groundnut leaf nutrient level extraction in RGB images

5. Audio adversarial detection through classification score on speech recognition systems

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