Hieu Trung Huynh

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 20

Top Topics

Speaker Diarization

Diabetes Mellitus

Top Venues

FDSE (CCIS Volume)

Publications

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 (2024)
Nhu-Y Tran, Hieu Trung Huynh, Pham The Bao
A proposed scenario to improve the Ncut algorithm in segmentation. Frontiers Big Data 6 (2023)
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) (2023)
Nam V. Nguyen, Hieu Trung Huynh, Phuc-Lu Le
Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images. FDSE (2023)
Ho Dac Quan, Hieu Trung Huynh
Solving partial differential equation based on extreme learning machine. Math. Comput. Simul. 205 (2023)
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)
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)
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 (2022)
Hieu Trung Huynh, Tran Minh Hoang
A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial Intelligence. Comput. J. 65 (5) (2022)
Ho Dac Quan, Hieu Trung Huynh
An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning. FDSE (CCIS Volume) (2022)
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)
Nguyen Duc Nam, Hieu Trung Huynh
Speaker Diarization in Vietnamese Voice. FDSE (CCIS Volume) (2021)
Hieu Trung Huynh, Ho Dac Quan
Energy expenditure estimation based on artificial intelligence and microservice architecture. ICMLSC (2020)
Hieu Trung Huynh, Linh Nguyen
Nonparametric maximum likelihood estimation using neural networks. Pattern Recognit. Lett. 138 (2020)
Hieu Trung Huynh, Hoang Nguyen
Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet. SN Comput. Sci. 1 (5) (2020)
Hoang Nguyen, Hieu Trung Huynh
Age and Gender Estimation of Asian Faces Using Deep Residual Network. FDSE (2019)
Hieu Trung Huynh, Yonggwan Won
Application of Regularized Online Sequential Learning for Glucose Correction. Trans. Large Scale Data Knowl. Centered Syst. 41 (2019)
Hieu Trung Huynh, Vo Nguyen Nhat Anh
A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image. RIVF (2019)
Hieu Trung Huynh, Ho Dac Quan, Yonggwan Won
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks. FDSE (2017)
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) (2017)
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)
Hieu Trung Huynh, Yonggwan Won
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. Pattern Recognit. Lett. 32 (14) (2011)
Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. FGIT-BSBT (2009)
Hieu Trung Huynh, Yonggwan Won
Online training for single hidden-layer feedforward neural networks using RLS-ELM. CIRA (2009)
Hieu Trung Huynh, Yonggwan Won
Extreme Learning Machine with Fuzzy Activation Function. NCM (2009)
Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim
Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. ICNSC (2008)
Hieu Trung Huynh, Yonggwan Won
Evolutionary algorithm for training compact single hidden layer feedforward neural networks. IJCNN (2008)
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)
Hieu Trung Huynh, Yonggwan Won
Small Number of Hidden Units for ELM with Two-Stage Linear Model. IEICE Trans. Inf. Syst. (4) (2008)
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) (2008)
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) (2008)
Hieu Trung Huynh, Yonggwan Won
Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. NCM (1) (2008)
Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won
A Robust Online Sequential Extreme Learning Machine. ISNN (1) (2007)
Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won
Outlier Treatment for SLFNs in Classification. ICCSA Workshops (2007)
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)
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)
Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. FBIT (2007)