Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification

Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification

Developing lifelong learning algorithms are mandatory for computational systems biology. Recently, many studies have shown how to extract biologically relevant information from high-dimensional data to understand the complexity of cancer by taking the benefit of deep learning (DL). Unfortunately, ne...

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Bibliographic Details
Main Authors: Erdenebileg Batbaatar, Kwang Ho Park, Tsatsral Amarbayasgalan, Khishigsuren Davagdorj, Lkhagvadorj Munkhdalai, Van-Huy Pham, Keun Ho Ryu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Computational biology
deep learning
class-incremental learning
continual learning
deep generative model
variational autoencoder
Online Access:https://ieeexplore.ieee.org/document/9265181/

Internet

https://ieeexplore.ieee.org/document/9265181/

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