Hieu Trung Huynh

44 papers B 4Journal 15Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Transformer-Based Framework for Chest X-Ray Captioning with Clinical Sign Detection.
SN Comput. Sci.
Thanh T. Tran, Duy V. M. Nguyen, Hieu Trung Huynh
2025 — conf
Classification of Breast Cancer for Mammography Using High-Resolution Network.
IUKM (1)
Ngo Quoc Thai, Hieu Trung Huynh
2025 — ed.
Integrated Uncertainty in Knowledge Modelling and Decision Making - 11th International Symposium, IUKM 2025, Ho Chi Minh City, Vietnam, March 17-19, 2025, Proceedings, Part I
IUKM (1)
Van-Nam Huynh, Katsuhiro Honda, Bac Le, Masahiro Inuiguchi, Hieu Trung Huynh
2025 — ed.
Integrated Uncertainty in Knowledge Modelling and Decision Making - 11th International Symposium, IUKM 2025, Ho Chi Minh City, Vietnam, March 17-19, 2025, Proceedings, Part II
IUKM (2)
Van-Nam Huynh, Katsuhiro Honda, Bac Le, Masahiro Inuiguchi, Hieu Trung Huynh
2025 — conf
Nonparametric Estimation Using Kolmogorov-Arnold Network.
IUKM (1)
Hieu Trung Huynh
2025 B conf
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content.
CAIN
Vince Nguyen, Vidya Dhopate, Hieu Trung Huynh, Hiba Bouhlal, Anusha Annengala, Gian Luca Scoccia, Matias Martinez, Vincenzo Stoico, Ivano Malavolta
2024 — conf
White Blood Cell Segmentation Using Kolmogorov-Arnold Network Coupled with UNet.
FDSE (2)
Hao Vu Le, Hieu Trung Huynh
2024 J jnl
iTa-DFiE: An Innovative Tensor Algebra-Based Detection Framework for Incomplete Noninvasive Electroencephalography.
IEEE Access
Thi Anh Ngoc Nguyen, Quang-Bang Tao, Hyung-Jeong Yang, Hieu Trung Huynh, Nguyen Tran Quoc Vinh, Duy Khanh Ninh
2023 J jnl
A Novel Approach For CT-Based COVID-19 Classification and Lesion Segmentation Based On Deep Learning.
Comput. J.
Hieu Minh Truong, Hieu Trung Huynh
2023 J jnl
A proposed scenario to improve the Ncut algorithm in segmentation.
Frontiers Big Data
Nhu-Y Tran, Hieu Trung Huynh, Pham The Bao
2023 — conf
Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images.
FDSE
Nam V. Nguyen, Hieu Trung Huynh, Phuc-Lu Le
2023 J jnl
Solving partial differential equation based on extreme learning machine.
Math. Comput. Simul.
Ho Dac Quan, Hieu Trung Huynh
2022 J jnl
A Novel Approach for Determining Meal Plan for Gestational Diabetes Mellitus Using Artificial Intelligence.
Comput. J.
Hieu Trung Huynh, Tran Minh Hoang
2022 — conf
A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-Images.
FDSE (CCIS Volume)
Hieu Minh Truong, Hieu Trung Huynh
2022 — conf
An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks.
RIVF
Nghia Vo-Dinh, Anh Ha-Bao, Hieu Trung Huynh
2022 — conf
An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning.
FDSE (CCIS Volume)
Ho Dac Quan, Hieu Trung Huynh
2022 J jnl
Ordinary differential equation based neural network coupled with random forest in the quality assessment of hand hygiene processes.
Appl. Soft Comput.
Ho Dac Quan, Huynh Duc Khai, Hieu Trung Huynh
2021 — conf
Speaker Diarization in Vietnamese Voice.
FDSE (CCIS Volume)
Nguyen Duc Nam, Hieu Trung Huynh
2021 — conf
White Blood Cell Segmentation and Classification Using Deep Learning Coupled with Image Processing Technique.
FDSE (CCIS Volume)
Hieu Trung Huynh, Vo Vuong Thanh Dat, Anh Ha-Bao
2020 — conf
Energy expenditure estimation based on artificial intelligence and microservice architecture.
ICMLSC
Hieu Trung Huynh, Ho Dac Quan
2020 J jnl
Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet.
SN Comput. Sci.
Hieu Trung Huynh, Hoang Nguyen
2020 J jnl
Nonparametric maximum likelihood estimation using neural networks.
Pattern Recognit. Lett.
Hieu Trung Huynh, Linh Nguyen
2019 — conf
A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image.
RIVF
Hieu Trung Huynh, Vo Nguyen Nhat Anh
2019 — conf
Age and Gender Estimation of Asian Faces Using Deep Residual Network.
FDSE
Hoang Nguyen, Hieu Trung Huynh
2019 J jnl
Application of Regularized Online Sequential Learning for Glucose Correction.
Trans. Large Scale Data Knowl. Centered Syst.
Hieu Trung Huynh, Yonggwan Won
2017 — conf
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks.
FDSE
Hieu Trung Huynh, Ho Dac Quan, Yonggwan Won
2017 J jnl
Fully automated MR liver volumetry using watershed segmentation coupled with active contouring.
Int. J. Comput. Assist. Radiol. Surg.
Hieu Trung Huynh, Ngoc Le-Trong, Pham The Bao, Aytek Oto, Kenji Suzuki
2013 — conf
Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring.
EMBC
Kenji Suzuki, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori
2011 J jnl
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks.
Pattern Recognit. Lett.
Hieu Trung Huynh, Yonggwan Won
2009 — conf
DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD.
FGIT-BSBT
Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
2009 — conf
Extreme Learning Machine with Fuzzy Activation Function.
NCM
Hieu Trung Huynh, Yonggwan Won
2009 — conf
Online training for single hidden-layer feedforward neural networks using RLS-ELM.
CIRA
Hieu Trung Huynh, Yonggwan Won
2008 J jnl
An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks.
Int. J. Neural Syst.
Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim
2008 — conf
Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks.
NCM (1)
Hieu Trung Huynh, Yonggwan Won
2008 B conf
Evolutionary algorithm for training compact single hidden layer feedforward neural networks.
IJCNN
Hieu Trung Huynh, Yonggwan Won
2008 B conf
Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm.
IEEE Congress on Evolutionary Computation
Hieu Trung Huynh, Yonggwan Won
2008 — conf
Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns.
ICNSC
Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim
2008 J jnl
Small Number of Hidden Units for ELM with Two-Stage Linear Model.
IEICE Trans. Inf. Syst.
Hieu Trung Huynh, Yonggwan Won
2008 J jnl
Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine.
J. Digit. Content Technol. its Appl.
Hieu Trung Huynh, Yonggwan Won
2007 — conf
A Robust Online Sequential Extreme Learning Machine.
ISNN (1)
Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won
2007 — conf
DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks.
FBIT
Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
2007 — conf
Outlier Treatment for SLFNs in Classification.
ICCSA Workshops
Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won
2007 B conf
Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase.
MDAI
Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won
2007 — conf
Two-Step Iterative Registration for 2D-Gel Electrophoresis Images.
RIVF
Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won, Jung-Ja Kim