A Tabular Variational Auto Encoder-Based Hybrid Model for Imbalanced Data Classification With Feature Selection-Reference-Cited by-同舟云学术

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A Tabular Variational Auto Encoder-Based Hybrid Model for Imbalanced Data Classification With Feature Selection

Published:2023 Issue: Volume:11 Page:122760-122771
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abraham Asha¹,Mohideen Habeeb Shaik²,Kayalvizhi R.¹^ORCID

Affiliation:

1. Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10304147.pdf?arnumber=10304147

Reference43 articles.

1. SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

2. Human transcription factor and protein kinase gene fusions in human cancer

3. Optuna

4. CancerMine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer

5. Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor’s morphological information

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