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Hieu Trung Huynh
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2020 – today
- 2024
- [j14]Thi Anh Ngoc Nguyen
, Quang-Bang Tao, Hyung-Jeong Yang
, Hieu Trung Huynh, Nguyen Tran Quoc Vinh, Duy Khanh Ninh
:
iTa-DFiE: An Innovative Tensor Algebra-Based Detection Framework for Incomplete Noninvasive Electroencephalography. IEEE Access 12: 61717-61740 (2024) - 2023
- [j13]Hieu Minh Truong
, Hieu Trung Huynh
:
A Novel Approach For CT-Based COVID-19 Classification and Lesion Segmentation Based On Deep Learning. Comput. J. 66(6): 1366-1375 (2023) - [j12]Nhu-Y Tran, Hieu Trung Huynh, Pham The Bao:
A proposed scenario to improve the Ncut algorithm in segmentation. Frontiers Big Data 6 (2023) - [j11]Ho Dac Quan
, Hieu Trung Huynh
:
Solving partial differential equation based on extreme learning machine. Math. Comput. Simul. 205: 697-708 (2023) - [c23]Nam V. Nguyen, Hieu Trung Huynh, Phuc-Lu Le:
Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images. FDSE 2023: 471-483 - 2022
- [j10]Ho Dac Quan, Huynh Duc Khai, Hieu Trung Huynh
:
Ordinary differential equation based neural network coupled with random forest in the quality assessment of hand hygiene processes. Appl. Soft Comput. 130: 109627 (2022) - [j9]Hieu Trung Huynh
, Tran Minh Hoang:
A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial Intelligence. Comput. J. 65(5): 1088-1097 (2022) - [c22]Ho Dac Quan
, Hieu Trung Huynh
:
An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning. FDSE (CCIS Volume) 2022: 407-418 - [c21]Hieu Minh Truong
, Hieu Trung Huynh
:
A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-Images. FDSE (CCIS Volume) 2022: 640-652 - [c20]Nghia Vo-Dinh, Anh Ha-Bao, Hieu Trung Huynh:
An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks. RIVF 2022: 140-144 - 2021
- [c19]Hieu Trung Huynh, Vo Vuong Thanh Dat, Ha Bao Anh:
White Blood Cell Segmentation and Classification Using Deep Learning Coupled with Image Processing Technique. FDSE (CCIS Volume) 2021: 399-410 - [c18]Nguyen Duc Nam, Hieu Trung Huynh:
Speaker Diarization in Vietnamese Voice. FDSE (CCIS Volume) 2021: 444-451 - 2020
- [j8]Hieu Trung Huynh
, Linh Nguyen:
Nonparametric maximum likelihood estimation using neural networks. Pattern Recognit. Lett. 138: 580-586 (2020) - [j7]Hieu Trung Huynh
, Hoang Nguyen:
Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet. SN Comput. Sci. 1(5): 284 (2020) - [c17]Hieu Trung Huynh, Ho Dac Quan:
Energy expenditure estimation based on artificial intelligence and microservice architecture. ICMLSC 2020: 159-163
2010 – 2019
- 2019
- [j6]Hieu Trung Huynh, Yonggwan Won:
Application of Regularized Online Sequential Learning for Glucose Correction. Trans. Large Scale Data Knowl. Centered Syst. 41: 160-171 (2019) - [c16]Hoang Nguyen, Hieu Trung Huynh:
Age and Gender Estimation of Asian Faces Using Deep Residual Network. FDSE 2019: 274-286 - [c15]Hieu Trung Huynh, Vo Nguyen Nhat Anh:
A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image. RIVF 2019: 1-5 - 2017
- [j5]Hieu Trung Huynh
, Ngoc Le-Trong
, Pham The Bao
, Aytek Oto, Kenji Suzuki
:
Fully automated MR liver volumetry using watershed segmentation coupled with active contouring. Int. J. Comput. Assist. Radiol. Surg. 12(2): 235-243 (2017) - [c14]Hieu Trung Huynh, Ho Dac Quan, Yonggwan Won:
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks. FDSE 2017: 299-308 - 2013
- [c13]Kenji Suzuki
, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori:
Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring. EMBC 2013: 2984-2987 - 2011
- [j4]Hieu Trung Huynh, Yonggwan Won:
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. Pattern Recognit. Lett. 32(14): 1930-1935 (2011)
2000 – 2009
- 2009
- [c12]Hieu Trung Huynh, Yonggwan Won:
Online training for single hidden-layer feedforward neural networks using RLS-ELM. CIRA 2009: 469-473 - [c11]Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won:
DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. FGIT-BSBT 2009: 108-114 - [c10]Hieu Trung Huynh, Yonggwan Won:
Extreme Learning Machine with Fuzzy Activation Function. NCM 2009: 303-307 - 2008
- [j3]Hieu Trung Huynh, Yonggwan Won:
Small Number of Hidden Units for ELM with Two-Stage Linear Model. IEICE Trans. Inf. Syst. 91-D(4): 1042-1049 (2008) - [j2]Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim:
An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks. Int. J. Neural Syst. 18(5): 433-441 (2008) - [j1]Hieu Trung Huynh, Yonggwan Won:
Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine. J. Digit. Content Technol. its Appl. 2(3): 40-46 (2008) - [c9]Hieu Trung Huynh, Yonggwan Won:
Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. IEEE Congress on Evolutionary Computation 2008: 2962-2966 - [c8]Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim:
Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. ICNSC 2008: 1517-1520 - [c7]Hieu Trung Huynh, Yonggwan Won:
Evolutionary algorithm for training compact single hidden layer feedforward neural networks. IJCNN 2008: 3028-3033 - [c6]Hieu Trung Huynh, Yonggwan Won:
Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. NCM (1) 2008: 256-260 - 2007
- [c5]Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won:
DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. FBIT 2007: 193-198 - [c4]Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won:
Outlier Treatment for SLFNs in Classification. ICCSA Workshops 2007: 104-109 - [c3]Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won:
A Robust Online Sequential Extreme Learning Machine. ISNN (1) 2007: 1077-1086 - [c2]Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won:
Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase. MDAI 2007: 341-350 - [c1]Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won, Jung-Ja Kim:
Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. RIVF 2007: 274-280
Coauthor Index
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last updated on 2024-05-19 01:01 CEST by the dblp team
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