Citation

Liaw, Chuin Ming and Tan, Shing Chiang and Goh, Pey Yun (2022) Deep Neural Network with Incremental Learning for Imbalanced Data Classification. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 41_LIAW CHUIN MING_FIST.pdf - Submitted Version Restricted to Registered users only Download (284kB)

Abstract

Many machine/deep-learning models have been introduced to perform data classification. • An open question in the research for data classification is the presence of a class imbalance problem. • The aim of this project is to design a deep neural network with an incremental learning capability to classify imbalanced data.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Machine learning
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	19 Dec 2022 03:39
Last Modified:	19 Dec 2022 06:11
URII:	http://shdl.mmu.edu.my/id/eprint/10905

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