Trường Đại học Công nghiệp TP. Hồ Chí Minh
Khoa Công nghệ thông tin
Đội ngũ giảng viên
Thông tin giảng viên

Research interests:

  • Computational intelligence
  • Machine Learning
  • Digital Image Processing
  • Pattern recognition
  • Biological and medical data analysis

Few selected publications:

1. Hieu Trung Huynh and Yonggwan Won, "Small Number of Hidden Units for ELM with Two-Stage linear Model", IEICE Trans. on Information and Systems, vol. E91-D, no.4, pp.1042-1049, 2008.

2. Hieu Trung Huynh, Jung-ja Kim and Yonggwan Won, "An improvement of Extreme Learning Machine for Compact Single-Hidden Layer Feedforward neural Networks", International Journal of Neural Systems, vol. 18, no. 5, pp.433-441, 2008.

3. Hieu Trung Huynh and Yonggwan Won, "Weighted Least Squares Scheme for Reducing  Effects of Outliers in Regression Based on Extreme Learning machine", International Journal of Digital Content Technology and its Applications, vol. 3, no. 3, pp. 40-46, 2008.

4. Hieu Trung Huynh and Yonggwan Won, "Performance Comparison of SLFN Training Algorithms for DNA Microarray Classification", Adv Exp Med Biol 696, pp. 153-143, 2011.

5. Hieu Trung Huynh and Yonggwan Won, "Regularized online sequential learning algorithm for single-hidden layer feedforward neural network", Pattern Recognition Letters 32 (14), pp. 1930-1935, 2011.

6. Hieu Trung Huynh, Karademir I, Oto A, Suzuki K. Computerized liver volumetry on MRI by using 3D geodesic active contour segmentation. Medical physics and Informatics, AJR 202, pp. 152-159, 2014.

7. Hieu Trung Huynh, Karademir I, Oto A, Suzuki K, "Liver volumetry in MRI by using fast marching algorithm coupled with 3D geodesic active contour segmentation", Computational Intelligence in Biomedical Imaging (Springer), pp. 141-157, 2014.

8. Le TN, Bao PT, Hieu Trung Huynh, “Fully automatic scheme for measuring liver volume in 3D MR images”, Bio-Medical Materials and Engineering, pp. S1361-S1369, 2015.

9. Hieu Trung Huynh, Yonggwan Won, and Jinsul Kim, "Hematocrit Estimation using Online Sequential Extreme Learning Machine", Bio-Medical Materials and Engineering, pp. S2025-S2032, 2015.

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