Yee-Kai Tee

Orcid: 0000-0002-0263-6358

Affiliations:
  • Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia


According to our database1, Yee-Kai Tee authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A modified single image dehazing method for autonomous driving vision system.
Multim. Tools Appl., March, 2024

IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading.
Expert Syst. Appl., 2024

Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices.
Turkish J. Electr. Eng. Comput. Sci., 2024

Histopathological Cancer Detection Using Intra-Domain Transfer Learning and Ensemble Learning.
IEEE Access, 2024

An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative.
IEEE Access, 2024

Malaria Cell Images Classification with Deep Ensemble Learning.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2022
A contrast enhancement framework under uncontrolled environments based on just noticeable difference.
Signal Process. Image Commun., 2022

Knee osteoarthritis severity classification with ordinal regression module.
Multim. Tools Appl., 2022

The development of skin lesion detection application in smart handheld devices using deep neural networks.
Multim. Tools Appl., 2022

A Review of Machine Learning Network in Human Motion Biomechanics.
J. Grid Comput., 2022

A Study on the Effect of Video Resolution on the Quality of Sound Recovered using the Visual Microphone.
Proceedings of the IVSP 2022: 4th International Conference on Image, Video and Signal Processing, Singapore, March 18, 2022

Deep Machine Learning Histopathological Image Analysis for Renal Cancer Detection.
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.
Comput. Intell. Neurosci., 2021

2019
Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification.
Neural Networks, 2019

The Design and Development of Automated Knee Cartilage Segmentation Framework.
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.
Proceedings of the ICBBS 2019: 8th International Conference on Bioinformatics and Biomedical Science, 2019

2018
Convolutional Neural Network-Based Collaborative Filtering for Recommendation Systems.
Proceedings of the Robot Intelligence Technology and Applications, 2018

Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets.
Proceedings of the Robot Intelligence Technology and Applications, 2018

Document level polarity classification with attention gated recurrent unit.
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.
Proceedings of the 2nd International Conference on Advances in Image Processing, 2018


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