Tien Thanh Nguyen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Topics

Ensemble Classifier

Medical Image Segmentation

Ensemble Selection

Top Venues

Pattern Recognit.

ICMLC (CCIS volume)

Publications

Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew
A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. CEC (2024)
Kate Han, Truong Thanh Nguyen, Viet Anh Vu, Alan Wee-Chung Liew, Truong Dang, Tien Thanh Nguyen
VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System. CEC (2024)
Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Eyad Elyan, Carlos Francisco Moreno-García
Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. Cogn. Comput. 16 (3) (2024)
Dinh Son Dang, Tung Lam Nguyen, Bao Thang Ta, Tien Thanh Nguyen, Thi Ngoc Anh Nguyen, Dang Linh Le, Nhat Minh Le, Van Hai Do
LightVoc: An Upsampling-Free GAN Vocoder Based On Conformer And Inverse Short-time Fourier Transform. INTERSPEECH (2023)
Daniel Dobos, Tien Thanh Nguyen, Truong Dang, Allan Wilson, Helen Corbett, John A. W. McCall, Phil Stockton
A comparative study of anomaly detection methods for gross error detection problems. Comput. Chem. Eng. 175 (2023)
Anh Vu Luong, Tien Thanh Nguyen, Kate Han, Trung Hieu Vu, John McCall, Alan Wee-Chung Liew
DEFEG: Deep Ensemble with Weighted Feature Generation. Knowl. Based Syst. 275 (2023)
Daniel Dobos, Truong Dang, Tien Thanh Nguyen, John McCall, Allan Wilson, Helen Corbett, Phil Stockton
A Weighted Ensemble of Regression Methods for Gross Error Identification Problem. SSCI (2023)
Truong Dang, Tien Thanh Nguyen, John McCall, Alan Wee-Chung Liew
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. SSCI (2022)
Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, John McCall, Tien Thanh Nguyen
Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. CEC (2022)
Truong Dang, Tien Thanh Nguyen, John McCall, Eyad Elyan, Carlos Francisco Moreno-García
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation. CoRR (2021)
Kate Han, Tien Pham, Trung Hieu Vu, Truong Dang, John A. W. McCall, Tien Thanh Nguyen
VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning. ACIIDS (2021)
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm. DICTA (2021)
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shilin Wang
Heterogeneous ensemble selection for evolving data streams. Pattern Recognit. 112 (2021)
Daniel Dobos, Tien Thanh Nguyen, John A. W. McCall, Allan Wilson, Phil Stockton, Helen Corbett
Weighted ensemble of gross error detection methods based on particle swarm optimization. GECCO Companion (2021)
Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Alan Wee-Chung Liew
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. CoRR (2021)
Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. CEC (2021)
Duc Thuan Do, Tien Thanh Nguyen, The Trung Nguyen, Anh Vu Luong, Alan Wee-Chung Liew, John McCall
Confidence in Prediction: An Approach for Dynamic Weighted Ensemble. ACIIDS (1) (2020)
Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen
A Homogeneous-Heterogeneous Ensemble of Classifiers. ICONIP (5) (2020)
Truong Dang, Tien Thanh Nguyen, John McCall
Toward an Ensemble of Object Detectors. ICONIP (5) (2020)
Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall
WEC: Weighted Ensemble of Text Classifiers. CEC (2020)
Tien Thanh Nguyen, Manh Truong Dang, Vimal Anand Baghel, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
Evolving interval-based representation for multiple classifier fusion. Knowl. Based Syst. (2020)
Tien Thanh Nguyen, Nang Van Pham, Manh Truong Dang, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
Multi-layer heterogeneous ensemble with classifier and feature selection. GECCO (2020)
Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Alan Wee-Chung Liew, John McCall
Ensemble Selection based on Classifier Prediction Confidence. Pattern Recognit. 100 (2020)
Tien Thanh Nguyen, John McCall, Allan Wilson, Laud Ochei, Helen Corbett, Phil Stockton
Evolved ensemble of detectors for gross error detection. GECCO Companion (2020)
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
Streaming Active Deep Forest for Evolving Data Stream Classification. CoRR (2020)
Tien Thanh Nguyen, Manh Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, Tiancai Liang, John McCall
Multi-label classification via incremental clustering on an evolving data stream. Pattern Recognit. 95 (2019)
Tien Thanh Nguyen, Manh Truong Dang, Alan Wee-Chung Liew, James C. Bezdek
A weighted multiple classifier framework based on random projection. Inf. Sci. 490 (2019)
Tien Thanh Nguyen, Anh Vu Luong, Thi Minh Van Nguyen, Trong Sy Ha, Alan Wee-Chung Liew, John McCall
Simultaneous meta-data and meta-classifier selection in multiple classifier system. GECCO (2019)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Rabi Sharma, Alan Wee-Chung Liew
A lossless online Bayesian classifier. Inf. Sci. 489 (2019)
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Anh Vu Luong, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Bela Stantic
Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern Recognit. 90 (2019)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shi-Lin Wang, Tiancai Liang, Yongjiang Hu
An Online Variational Inference and Ensemble Based Multi-label Classifier for Data Streams. ICACI (2019)
Tien Thanh Nguyen, Manh Truong Dang, Dung Pham, Lan Phuong Dao, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
Deep Heterogeneous Ensemble. Aust. J. Intell. Inf. Process. Syst. 16 (1) (2019)
Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
Aggregation of Classifiers: A Justifiable Information Granularity Approach. IEEE Trans. Cybern. 49 (6) (2019)
Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Lan Phuong Dao, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, John McCall
Evolving an Optimal Decision Template for Combining Classifiers. ICONIP (1) (2019)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shi-Lin Wang
Variational inference based bayes online classifiers with concept drift adaptation. Pattern Recognit. 81 (2018)
Tien Thanh Nguyen, Mathieu Thevenin, Anthony Mouraud, Gwenolé Corre, Olivier Pasquier, Sébastien Pillement
High-Level Reliability Evaluation of Reconfiguration-Based Fault Tolerance Techniques. IPDPS Workshops (2018)
Anh Vu Luong, Tien Thanh Nguyen, Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Bela Stantic
Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System. ACIIDS (1) (2018)
Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew
Heterogeneous classifier ensemble with fuzzy rule-based meta learner. Inf. Sci. 422 (2018)
Manh Truong Dang, Anh Vu Luong, Tuyet-Trinh Vu, Quoc Viet Hung Nguyen, Tien Thanh Nguyen, Bela Stantic
An Ensemble System with Random Projection and Dynamic Ensemble Selection. ACIIDS (1) (2018)
Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
Combining heterogeneous classifiers via granular prototypes. Appl. Soft Comput. 73 (2018)
Tien Thanh Nguyen, Anthony Mouraud, Mathieu Thevenin, Gwenolé Corre, Olivier Pasquier, Sébastien Pillement
Model-driven reliability evaluation for MPSoC design. DASIP (2017)
Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
Aggregation of Classifiers: A Justifiable Information Granularity Approach. CoRR (2017)
Xuan Cuong Pham, Manh Truong Dang, Dinh Viet Sang, Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew
Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier. DICTA (2017)
Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Tien Thanh Nguyen, Shilin Wang
A Novel Bayesian Framework for Online Imbalanced Learning. DICTA (2017)
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, James C. Bezdek
An ensemble-based online learning algorithm for streaming data. CoRR (2017)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Yongjian Hu, Tiancai Liang, Chang-Tsun Li
A Novel Online Bayes Classifier. DICTA (2016)
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew
A novel combining classifier method based on Variational Inference. Pattern Recognit. 49 (2016)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Xuan Cuong Pham, Mai Phuong Nguyen
A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system. IEEE Congress on Evolutionary Computation (2014)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen
Combining Classifiers Based on Gaussian Mixture Model Approach to Ensemble Data. ICMLC (CCIS volume) (2014)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen
Combining Multi Classifiers Based on a Genetic Algorithm - A Gaussian Mixture Model Framework. ICIC (2) (2014)
Tuan Son Nguyen, Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Anh Hai Nguyen
Application of digital technology in ballistic mortar for determining the power of high explosives. ICSAI (2014)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen
Optimization of ensemble classifier system based on multiple objectives genetic algorithm. ICMLC (2014)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Cuong To, Xuan Cuong Pham, Mai Phuong Nguyen
Fuzzy If-Then Rules Classifier on Ensemble Data. ICMLC (CCIS volume) (2014)
Tien Thanh Nguyen, Hai Van Nguyen, Tien Vu Hoa
Synthetic tracking controller for robot manipulator with flexible joints, dynamics of executive motors and affect of disturbance based on radial basic function (RBF) neural network. ROBIO (2014)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen
A Novel 2-Stage Combining Classifier Model with Stacking and Genetic Algorithm Based Feature Selection. ICIC (2) (2014)
Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Thi Thu Thuy Nguyen, Mai Phuong Nguyen
Fusion of Classifiers Based on a Novel 2-Stage Model. ICMLC (CCIS volume) (2014)
Cuong To, Tien Thanh Nguyen, Alan Wee-Chung Liew
A Hough Transform-Based Biclustering Algorithm for Gene Expression Data. ICMLC (CCIS volume) (2014)