A Comparative Performance of Genetic Algorithm and Bayesian Optimization for Hyperparameter Tuning for Mammogram Classification-Reference-Cited by-同舟云学术

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A Comparative Performance of Genetic Algorithm and Bayesian Optimization for Hyperparameter Tuning for Mammogram Classification

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)
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Author:

Razali Noor Fadzilah¹,Isa Iza Sazanita¹,Sulaiman Siti Noraini¹,Karim Noor Khairiah A.²,Osman Muhammad Khusairi¹,Soh Zainal Hisham Che¹,Yusoff Zakiah Mohd³

Affiliation:

1. Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus,Electrical Engineering Studies, College of Engineering,Permatang Pauh,Penang,Malaysia,13500

2. Advanced Medical and Dental Institute, Universiti Sains Malaysia Bertam,Department of Biomedical Imaging,Kepala Batas,Pulau Pinang,Malaysia,13200

3. Universiti Teknologi MARA, Cawangan Johor, Pasir Gudang Campus,Electrical Engineering Studies, College of Engineering,Pasir Gudang,Johor,Malaysia,81750

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10237087/10237006/10237178.pdf?arnumber=10237178

Reference25 articles.

1. Random Search for Hyper-Parameter Optimization;bergstra;J Mach Learn Res,2012

2. Hyper Parameter Optimization of Convolutional Neural Networks for Breast Cancer Classification

3. Practical Bayesian Optimization of Machine Learning Algorithms;snoek;Adv Neural Inf Process Syst,2012

4. Hyperband: A novel bandit-based approach to hyperparameter optimization;li;J Mach Learn Res,2018

5. Enhancement Technique Based on the Breast Density Level for Mammogram for Computer-Aided Diagnosis

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