CWAOMT: Class Weight balanced Artificial Neural Network model for the Classification of Ovarian Malignancy from Transcriptomic Profiles-Reference-Cited by-同舟云学术

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CWAOMT: Class Weight balanced Artificial Neural Network model for the Classification of Ovarian Malignancy from Transcriptomic Profiles

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Networking and Communications (ICNWC)
language:
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Author:

Abraham Asha¹,Kayalvizhi R¹,Mohideen Habeeb Shaik²,Abraham Ancy³

Affiliation:

1. School of Computing,Dept. of Networking and Communications

2. SRM Institute of Science and Technology Kattankulathur,College of Engineering and Technology,Dept. of Genetic Engineering,Chennai,India

3. FNP-BC, Great Lakes Bay Health Centres, David R. Gamez, 501 Lapeer Ave,Saginaw,MI,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127222/10127226/10127392.pdf?arnumber=10127392

Reference20 articles.

1. Ocular diseases classification using a lightweight CNN and class weight balancing on OCT images

2. Modeling transcriptomic age using knowledge-primed artificial neural networks

3. An Optimized Rice Leaf Disease Classification using Transfer Learning and Balanced Class Weight Distribution based on Bandit Approach;oddy virgantara;In 2022 5th International Conference on Information and Communications Technology (ICOIACT),2022

4. Prediction of Rainfall in Australia Using Machine Learning

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. A Tabular Variational Auto Encoder-Based Hybrid Model for Imbalanced Data Classification With Feature Selection;IEEE Access;2023

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