Výsledky vyhledávání - "Kok-Chin Khor"

Akademický článek

PointADAM: Unsupervised Adversarial Domain Adaptation on Point Clouds With Metric Learning via Compact Feature Representation

Autor: Jiajia Lu, Wun-She Yap, Kok-Chin Khor

Publikováno v: IEEE Access, Vol 12, Pp 77486-77500 (2024)

Domain adaptation can mitigate the problem of limited labels in deep learning training. Nevertheless, extending the 2D domain adaptation method directly to 3D encounters challenges unique to point clouds, frequently resulting in inadequate feature al

Externí odkaz: https://doaj.org/article/53e2d6934df94bf0b47ba6babfc5863f

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Akademický článek

Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review

Autor: Suraya Nurain Kalid, Kok-Chin Khor, Keng-Hoong Ng, Gee-Kok Tong

Publikováno v: IEEE Access, Vol 12, Pp 23636-23652 (2024)

Credit card payments are one popular e-payment option apart from cash payments. Recent reports show that credit card fraud and payment defaults are increasing annually and are alarming. Thus, researchers have attempted various machine learning techni

Externí odkaz: https://doaj.org/article/9151ec217850430b974e1cc54d7ff5f1

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Akademický článek

Performance profiling of the unit trust funds in Malaysia with data mining techniques [version 1; peer review: 2 approved]

Autor: Aida Farah Khairuddin, Keng-Hoong Ng, Kok-Chin Khor

Publikováno v: F1000Research, Vol 10 (2021)

Background: Millennials are exposed to many investment opportunities, and they have shown their interest in gaining more income via investments. One popular investment avenue is unit trusts. However, analysing unit trusts’ financial data and gainin

Externí odkaz: https://doaj.org/article/8fe62785a1d446499b34bf10d360f3d7

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Akademický článek

A Multiple Classifiers System for Anomaly Detection in Credit Card Data With Unbalanced and Overlapped Classes

Autor: Suraya Nurain Kalid, Keng-Hoong Ng, Gee-Kok Tong, Kok-Chin Khor

Publikováno v: IEEE Access, Vol 8, Pp 28210-28221 (2020)

Frauds and default payments are two major anomalies in credit card transactions. Researchers have been vigorously finding solutions to tackle them and one of the solutions is to use data mining approaches. However, the collected credit card data can

Externí odkaz: https://doaj.org/article/4716aa2060ad43f5b86d1bc2b0c9349c

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Akademický článek

EVALUATION ON RAPID PROFILING WITH CLUSTERING ALGORITHMS FOR PLANTATION STOCKS ON BURSA MALAYSIA

Autor: Keng Hoong Ng, Kok-Chin Khor

Publikováno v: Journal of ICT, Vol 15, Iss 2 (2016)

Building a stock portfolio often requires extensive financial knowledge and Herculean efforts looking at the amount of financial data to analyse. In this study, we utilized Expectation Maximization (EM), K-Means (KM), and Hierarchical Clustering (HC)

Externí odkaz: https://doaj.org/article/0644e15c654a453783aca2c97146bffa

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Akademický článek

Enhancing Customer Churn Prediction With Resampling: A Comparative Study.

Autor: Jia-Xuan Ong, Gee-Kok Tong, Kok-Chin Khor, Su-Cheng Haw

Publikováno v: TEM Journal; Aug2024, Vol. 13 Issue 3, p1927-1936, 10p

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Medical equipment recognition using deep transfer learning

Autor: Shi-Ting Wong, Chian-Wen Too, Wun-She Yap, Kok-Chin Khor

Publikováno v: Journal of Intelligent & Fuzzy Systems. 43:1001-1010

With technological advancement, visual search has become an effective tool for searching important information by providing images. We propose a practical medical equipment recognition that can be used in visual search through deep transfer learning.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c9fa588addfd03e414812b067635ca0
https://doi.org/10.3233/jifs-212786

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