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- affiliation: Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia
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2020 – today
- 2024
[j11]Ming Ping Yong, Yan Chai Hum
, Khin Wee Lai, Ying Loong Lee, Choon-Hian Goh, Wun-She Yap, Yee-Kai Tee:
Histopathological Cancer Detection Using Intra-Domain Transfer Learning and Ensemble Learning. IEEE Access 12: 1434-1457 (2024)- [j10]Pauline Shan Qing Yeoh, Li Bing, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu, Yan Chai Hum, Yee-Kai Tee, Khin Wee Lai:
An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative. IEEE Access 12: 123757-123770 (2024) - [j9]Zhen Zhao, Joon Huang Chuah, Chee-Onn Chow, Kaijian Xia, Yee-Kai Tee, Yan Chai Hum, Khin Wee Lai:
Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices. Turkish J. Electr. Eng. Comput. Sci. 32(1): 93-107 (2024) - [j8]Wingates Voon, Yan Chai Hum, Yee-Kai Tee, Wun-She Yap, Khin Wee Lai, Humaira Nisar, Hamam Mokayed:
IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading. Expert Syst. Appl. 257: 124969 (2024) - [j7]Wong Yoke Kim, Yan Chai Hum, Yee-Kai Tee, Wun-She Yap, Hamam Mokayed, Khin Wee Lai:
A modified single image dehazing method for autonomous driving vision system. Multim. Tools Appl. 83(9): 25867-25899 (2024) - [c9]Qi Ke, Rong Gao, Wun-She Yap, Yee-Kai Tee, Yan Chai Hum, Yujian Gan:
Malaria Cell Images Classification with Deep Ensemble Learning. ICIC (LNBI 1) 2024: 417-427 - 2022
- [j6]Wan Shi Low, Chow Khuen Chan, Joon Huang Chuah, Yee-Kai Tee, Yan Chai Hum, Maheza Irna Mohamad Salim, Khin Wee Lai:
A Review of Machine Learning Network in Human Motion Biomechanics. J. Grid Comput. 20(1): 4 (2022) - [j5]Ching Wai Yong, Kareen Teo, Belinda Pingguan-Murphy, Yan Chai Hum, Yee-Kai Tee, Kaijian Xia, Khin Wee Lai:
Knee osteoarthritis severity classification with ordinal regression module. Multim. Tools Appl. 81(29): 41497-41509 (2022) - [j4]Yan Chai Hum, Hou Ren Tan, Yee-Kai Tee, Wun-She Yap, Tian Swee Tan, Maheza Irna Mohamad Salim, Khin Wee Lai:
The development of skin lesion detection application in smart handheld devices using deep neural networks. Multim. Tools Appl. 81(29): 41579-41610 (2022) - [j3]Yan Chai Hum, Yee-Kai Tee, Wun-She Yap, Hamam Mokayed, Tian Swee Tan, Maheza Irna Mohamad Salim, Khin Wee Lai:
A contrast enhancement framework under uncontrolled environments based on just noticeable difference. Signal Process. Image Commun. 103: 116657 (2022) - [c8]Jia Chun Koo, Yan Chai Hum, Khin Wee Lai, Wun-She Yap, Swaminathan Manickam, Yee-Kai Tee:
Deep Machine Learning Histopathological Image Analysis for Renal Cancer Detection. ICCAI 2022: 657-663 - [c7]Ren-Jun Choong, Wun-She Yap, Yan Chai Hum, Yee-Kai Tee:
A Study on the Effect of Video Resolution on the Quality of Sound Recovered using the Visual Microphone. IVSP 2022: 113-117 - 2021
- [j2]Pauline Shan Qing Yeoh, Khin Wee Lai, Siew-Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee-Kai Tee, Samiappan Dhanalakshmi:
Emergence of Deep Learning in Knee Osteoarthritis Diagnosis. Comput. Intell. Neurosci. 2021: 4931437:1-4931437:20 (2021)
2010 – 2019
- 2019
- [j1]Hoon-Keng Poon, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee, Bok-Min Goi:
Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification. Neural Networks 119: 299-312 (2019) - [c6]Lee Sze Foo, Wun-She Yap, Yee-Kai Tee:
Determination of Computationally Efficient Multi-pool Model Fitting Approach for Pulsed Chemical Exchange Saturation Transfer MRI. ICBBS 2019: 32-39 - [c5]Wen-Jet Nyee, Yan Chai Hum, Tong-Yuen Chai, Yee-Kai Tee:
The Design and Development of Automated Knee Cartilage Segmentation Framework. ICSIPA 2019: 84-88 - 2018
- [c4]S. Y. Lee, Wun-She Yap, Yan Chai Hum, Ban-Hoe Kwan, Bok-Min Goi, Yee-Kai Tee, Zhe Jin:
Study the Effect of Commonly Used Video Compression Techniques on Sound Recovery via Negligible Object Vibrations for Visual Surveillance System. ICAIP 2018: 111-115 - [c3]Hoon-Keng Poon, Wun-She Yap, Yee-Kai Tee, Bok-Min Goi, Wai-Kong Lee:
Document level polarity classification with attention gated recurrent unit. ICOIN 2018: 7-12 - [c2]Hon-Sang Cheong, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee:
Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets. RiTA 2018: 28-41 - [c1]Yat Hong Low, Wun-She Yap, Yee-Kai Tee:
Convolutional Neural Network-Based Collaborative Filtering for Recommendation Systems. RiTA 2018: 117-131
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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