Comparing Deep Learning and Genetic Algorithms Techniques for Age and Gender Classification-Reference-Cited by-同舟云学术

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Comparing Deep Learning and Genetic Algorithms Techniques for Age and Gender Classification

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Ciobotaru Alexandru¹,Gota Dan Ioan¹,Puscasiu Adela¹,Stan Ovidiu¹,Fanca Alexandra¹,Domuta Claudiu¹,Valean Honoriu¹,Miclea Liviu¹

Affiliation:

1. Technical University of Cluj-Napoca,Automation Department,Cluj-Napoca,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10253422.pdf?arnumber=10253422

Reference14 articles.

1. A new and fast rival genetic algorithm for feature selection

2. Adam: a method for stochastic optimization;kingma,2014

3. Pygad: An intuitive genetic algorithm python library;ahmed fawzy,2021

4. Activation functions in artificial neural networks: A systematic overview;lederer,2021

5. A review of crossover methods and problem representation of genetic algorithm in recent engineering applications;farah ayiesya;International Journal of Advanced Science and Technology,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning based features extraction for facial gender classification using ensemble of machine learning technique;Multimedia Systems;2024-07-06

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