Yee-Kai Tee

According to our database, Yee-Kai Tee authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A modified single image dehazing method for autonomous driving vision system.

Wong Yoke Kim, Yan Chai Hum, Yee-Kai Tee, Wun-She Yap, Hamam Mokayed, Khin Wee Lai

Multim. Tools Appl., March, 2024

Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices.

Zhen Zhao, Joon Huang Chuah, Chee-Onn Chow, Kaijian Xia, Yee-Kai Tee, Yan Chai Hum, Khin Wee Lai

Turkish J. Electr. Eng. Comput. Sci., 2024

Histopathological Cancer Detection Using Intra-Domain Transfer Learning and Ensemble Learning.

Ming Ping Yong, Yan Chai Hum, Khin Wee Lai, Ying Loong Lee, Choon-Hian Goh, Wun-She Yap, Yee-Kai Tee

IEEE Access, 2024

2022

A contrast enhancement framework under uncontrolled environments based on just noticeable difference.

Yan Chai Hum, Yee-Kai Tee, Wun-She Yap, Hamam Mokayed, Tian Swee Tan, Maheza Irna Mohamad Salim, Khin Wee Lai

Signal Process. Image Commun., 2022

Knee osteoarthritis severity classification with ordinal regression module.

Ching Wai Yong, Kareen Teo, Belinda Pingguan-Murphy, Yan Chai Hum, Yee-Kai Tee, Kaijian Xia, Khin Wee Lai

Multim. Tools Appl., 2022

The development of skin lesion detection application in smart handheld devices using deep neural networks.

Yan Chai Hum, Hou Ren Tan, Yee-Kai Tee, Wun-She Yap, Tian Swee Tan, Maheza Irna Mohamad Salim, Khin Wee Lai

Multim. Tools Appl., 2022

A Review of Machine Learning Network in Human Motion Biomechanics.

Wan Shi Low, Chow Khuen Chan, Joon Huang Chuah, Yee-Kai Tee, Yan Chai Hum, Maheza Irna Mohamad Salim, Khin Wee Lai

J. Grid Comput., 2022

Deep Machine Learning Histopathological Image Analysis for Renal Cancer Detection.

Jia Chun Koo, Yan Chai Hum, Khin Wee Lai, Wun-She Yap, Swaminathan Manickam, Yee-Kai Tee

Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis.

Pauline Shan Qing Yeoh, Khin Wee Lai, Siew-Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee-Kai Tee, Samiappan Dhanalakshmi

Comput. Intell. Neurosci., 2021

2019

Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification.

Hoon-Keng Poon, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee, Bok-Min Goi

Neural Networks, 2019

The Design and Development of Automated Knee Cartilage Segmentation Framework.

Wen-Jet Nyee, Yan Chai Hum, Tong-Yuen Chai, Yee-Kai Tee

Proceedings of the 2019 IEEE International Conference on Signal and Image Processing Applications, 2019

Determination of Computationally Efficient Multi-pool Model Fitting Approach for Pulsed Chemical Exchange Saturation Transfer MRI.

Lee Sze Foo, Wun-She Yap, Yee-Kai Tee

Proceedings of the ICBBS 2019: 8th International Conference on Bioinformatics and Biomedical Science, 2019

2018

Convolutional Neural Network-Based Collaborative Filtering for Recommendation Systems.

Yat Hong Low, Wun-She Yap, Yee-Kai Tee

Proceedings of the Robot Intelligence Technology and Applications, 2018

Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets.

Hon-Sang Cheong, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee

Proceedings of the Robot Intelligence Technology and Applications, 2018

Document level polarity classification with attention gated recurrent unit.

Hoon-Keng Poon, Wun-She Yap, Yee-Kai Tee, Bok-Min Goi, Wai-Kong Lee

Proceedings of the 2018 International Conference on Information Networking, 2018

Study the Effect of Commonly Used Video Compression Techniques on Sound Recovery via Negligible Object Vibrations for Visual Surveillance System.

S. Y. Lee, Wun-She Yap, Yan Chai Hum, Ban-Hoe Kwan, Bok-Min Goi, Yee-Kai Tee, Zhe Jin

Proceedings of the 2nd International Conference on Advances in Image Processing, 2018