A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Minh Toan Tran; Xuan Cuong Pham; Mai Phuong Nguyen (IEEE Congress on Evolutionary Computation, 2014)

A Novel 2-Stage Combining Classifier Model with Stacking and Genetic Algorithm Based Feature Selection. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Xuan Cuong Pham; Mai Phuong Nguyen (ICIC (2), 2014)

Combining Multi Classifiers Based on a Genetic Algorithm - A Gaussian Mixture Model Framework. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Minh Toan Tran; Mai Phuong Nguyen (ICIC (2), 2014)

Optimization of ensemble classifier system based on multiple objectives genetic algorithm. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Xuan Cuong Pham; Mai Phuong Nguyen (ICMLC, 2014)

Combining Classifiers Based on Gaussian Mixture Model Approach to Ensemble Data. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Minh Toan Tran; Mai Phuong Nguyen (ICMLC (CCIS volume), 2014)

Fusion of Classifiers Based on a Novel 2-Stage Model. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Minh Toan Tran; Thi Thu Thuy Nguyen; Mai Phuong Nguyen (ICMLC (CCIS volume), 2014)

Fuzzy If-Then Rules Classifier on Ensemble Data. - Tien Thanh Nguyen; Alan Wee-Chung Liew; Cuong To; Xuan Cuong Pham; Mai Phuong Nguyen (ICMLC (CCIS volume), 2014)

A Hough Transform-Based Biclustering Algorithm for Gene Expression Data. - Cuong To; Tien Thanh Nguyen; Alan Wee-Chung Liew (ICMLC (CCIS volume), 2014)

Application of digital technology in ballistic mortar for determining the power of high explosives. - Tuan Son Nguyen; Tien Thanh Nguyen; Thi Thu Thuy Nguyen; Anh Hai Nguyen (ICSAI, 2014)

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. - Tien Thanh Nguyen; Hai Van Nguyen; Tien Vu Hoa (ROBIO, 2014)

A Novel Online Bayes Classifier. - Thi Thu Thuy Nguyen; Tien Thanh Nguyen; Xuan Cuong Pham; Alan Wee-Chung Liew; Yongjian Hu; Tiancai Liang; Chang-Tsun Li (DICTA, 2016)

A novel combining classifier method based on Variational Inference. - Tien Thanh Nguyen; Thi Thu Thuy Nguyen; Xuan Cuong Pham; Alan Wee-Chung Liew (Pattern Recognit., 2016)

Model-driven reliability evaluation for MPSoC design. - Tien Thanh Nguyen; Anthony Mouraud; Mathieu Thevenin; Gwenolé Corre; Olivier Pasquier; Sébastien Pillement (DASIP, 2017)

A Novel Bayesian Framework for Online Imbalanced Learning. - Thi Thu Thuy Nguyen; Alan Wee-Chung Liew; Tien Thanh Nguyen; Shilin Wang (DICTA, 2017)

Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier. - Xuan Cuong Pham; Manh Truong Dang; Dinh Viet Sang; Son Hoang; Tien Thanh Nguyen; Alan Wee-Chung Liew (DICTA, 2017)

An ensemble-based online learning algorithm for streaming data. - Tien Thanh Nguyen; Thi Thu Thuy Nguyen; Xuan Cuong Pham; Alan Wee-Chung Liew; James C. Bezdek (CoRR, 2017)

An Ensemble System with Random Projection and Dynamic Ensemble Selection. - Manh Truong Dang; Anh Vu Luong; Tuyet-Trinh Vu; Quoc Viet Hung Nguyen; Tien Thanh Nguyen; Bela Stantic (ACIIDS (1), 2018)

Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System. - Anh Vu Luong; Tien Thanh Nguyen; Xuan Cuong Pham; Thi Thu Thuy Nguyen; Alan Wee-Chung Liew; Bela Stantic (ACIIDS (1), 2018)

High-Level Reliability Evaluation of Reconfiguration-Based Fault Tolerance Techniques. - Tien Thanh Nguyen; Mathieu Thevenin; Anthony Mouraud; Gwenolé Corre; Olivier Pasquier; Sébastien Pillement (IPDPS Workshops, 2018)

Combining heterogeneous classifiers via granular prototypes. - Tien Thanh Nguyen; Mai Phuong Nguyen; Xuan Cuong Pham; Alan Wee-Chung Liew; Witold Pedrycz (Appl. Soft Comput., 2018)

Heterogeneous classifier ensemble with fuzzy rule-based meta learner. - Tien Thanh Nguyen; Mai Phuong Nguyen; Xuan Cuong Pham; Alan Wee-Chung Liew (Inf. Sci., 2018)

Variational inference based bayes online classifiers with concept drift adaptation. - Thi Thu Thuy Nguyen; Tien Thanh Nguyen; Alan Wee-Chung Liew; Shi-Lin Wang (Pattern Recognit., 2018)

Simultaneous meta-data and meta-classifier selection in multiple classifier system. - Tien Thanh Nguyen; Anh Vu Luong; Thi Minh Van Nguyen; Trong Sy Ha; Alan Wee-Chung Liew; John McCall 001 (GECCO, 2019)

An Online Variational Inference and Ensemble Based Multi-label Classifier for Data Streams. - Thi Thu Thuy Nguyen; Tien Thanh Nguyen; Alan Wee-Chung Liew; Shi-Lin Wang; Tiancai Liang; Yongjiang Hu (ICACI, 2019)

Evolving an Optimal Decision Template for Combining Classifiers. - Tien Thanh Nguyen; Anh Vu Luong; Manh Truong Dang; Lan Phuong Dao; Thi Thu Thuy Nguyen; Alan Wee-Chung Liew; John McCall 001 (ICONIP (1), 2019)

Deep Heterogeneous Ensemble. - Tien Thanh Nguyen; Manh Truong Dang; Dung Pham; Lan Phuong Dao; Anh Vu Luong; John McCall 001; Alan Wee-Chung Liew (Aust. J. Intell. Inf. Process. Syst., 2019)

A weighted multiple classifier framework based on random projection. - Tien Thanh Nguyen; Manh Truong Dang; Alan Wee-Chung Liew; James C. Bezdek (Inf. Sci., 2019)

A lossless online Bayesian classifier. - Thi Thu Thuy Nguyen; Tien Thanh Nguyen; Rabi Sharma; Alan Wee-Chung Liew (Inf. Sci., 2019)

Multi-label classification via incremental clustering on an evolving data stream. - Tien Thanh Nguyen; Manh Truong Dang; Anh Vu Luong; Alan Wee-Chung Liew; Tiancai Liang; John McCall 001 (Pattern Recognit., 2019)

Multi-label classification via label correlation and first order feature dependance in a data stream. - Tien Thanh Nguyen; Thi Thu Thuy Nguyen; Anh Vu Luong; Quoc Viet Hung Nguyen; Alan Wee-Chung Liew; Bela Stantic (Pattern Recognit., 2019)

Aggregation of Classifiers: A Justifiable Information Granularity Approach. - Tien Thanh Nguyen; Xuan Cuong Pham; Alan Wee-Chung Liew; Witold Pedrycz (IEEE Trans. Cybern., 2019)

Confidence in Prediction: An Approach for Dynamic Weighted Ensemble. - Duc Thuan Do; Tien Thanh Nguyen; The Trung Nguyen; Anh Vu Luong; Alan Wee-Chung Liew; John McCall 001 (ACIIDS (1), 2020)

WEC: Weighted Ensemble of Text Classifiers. - Ashish Upadhyay; Tien Thanh Nguyen; Stewart Massie; John A. W. McCall (CEC, 2020)

Evolved ensemble of detectors for gross error detection. - Tien Thanh Nguyen; John McCall 001; Allan Wilson; Laud Ochei; Helen Corbett; Phil Stockton (GECCO Companion, 2020)

Multi-layer heterogeneous ensemble with classifier and feature selection. - Tien Thanh Nguyen; Nang Van Pham; Manh Truong Dang; Anh Vu Luong; John McCall 001; Alan Wee-Chung Liew (GECCO, 2020)

Toward an Ensemble of Object Detectors. - Truong Dang; Tien Thanh Nguyen; John McCall 001 (ICONIP (5), 2020)

A Homogeneous-Heterogeneous Ensemble of Classifiers. - Anh Vu Luong; Trung Hieu Vu; Phuong Minh Nguyen; Nang Van Pham; John A. W. McCall; Alan Wee-Chung Liew; Tien Thanh Nguyen (ICONIP (5), 2020)

Streaming Active Deep Forest for Evolving Data Stream Classification. - Anh Vu Luong; Tien Thanh Nguyen; Alan Wee-Chung Liew (CoRR, 2020)

Evolving interval-based representation for multiple classifier fusion. - Tien Thanh Nguyen; Manh Truong Dang; Vimal Anand Baghel; Anh Vu Luong; John McCall 001; Alan Wee-Chung Liew (Knowl. Based Syst., 2020)

Ensemble Selection based on Classifier Prediction Confidence. - Tien Thanh Nguyen; Anh Vu Luong; Manh Truong Dang; Alan Wee-Chung Liew; John McCall 001 (Pattern Recognit., 2020)

VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning. - Kate Han; Tien Pham; Trung Hieu Vu; Truong Dang; John A. W. McCall; Tien Thanh Nguyen (ACIIDS, 2021)

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; Carlos Francisco Moreno-García; Eyad Elyan; John A. W. McCall (CEC, 2021)

Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm. - Anh Vu Luong; Tien Thanh Nguyen; Alan Wee-Chung Liew (DICTA, 2021)

Weighted ensemble of gross error detection methods based on particle swarm optimization. - Daniel Dobos; Tien Thanh Nguyen; John A. W. McCall; Allan Wilson; Phil Stockton; Helen Corbett (GECCO Companion, 2021)

Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. - Truong Dang; Tien Thanh Nguyen; John A. W. McCall; Alan Wee-Chung Liew (CoRR, 2021)

Heterogeneous ensemble selection for evolving data streams. - Anh Vu Luong; Tien Thanh Nguyen; Alan Wee-Chung Liew; Shilin Wang (Pattern Recognit., 2021)

Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. - Truong Dang; Anh Vu Luong; Alan Wee-Chung Liew; John McCall 001; Tien Thanh Nguyen (CEC, 2022)

Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; John McCall 001; Alan Wee-Chung Liew (SSCI, 2022)

LightVoc: An Upsampling-Free GAN Vocoder Based On Conformer And Inverse Short-time Fourier Transform. - Dinh Son Dang; Tung Lam Nguyen 002; Bao Thang Ta; Tien Thanh Nguyen; Thi Ngoc Anh Nguyen; Dang Linh Le; Nhat Minh Le; Van Hai Do (INTERSPEECH, 2023)

A Weighted Ensemble of Regression Methods for Gross Error Identification Problem. - Daniel Dobos; Truong Dang; Tien Thanh Nguyen; John McCall 001; Allan Wilson; Helen Corbett; Phil Stockton (SSCI, 2023)

DEFEG: Deep Ensemble with Weighted Feature Generation. - Anh Vu Luong; Tien Thanh Nguyen; Kate Han; Trung Hieu Vu; John McCall 001; Alan Wee-Chung Liew (Knowl. Based Syst., 2023)

A comparative study of anomaly detection methods for gross error detection problems. - Daniel Dobos; Tien Thanh Nguyen; Truong Dang; Allan Wilson; Helen Corbett; John A. W. McCall; Phil Stockton (Comput. Chem. Eng., 2023)

A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. - Truong Dang; Tien Thanh Nguyen; John McCall 001; Kate Han; Alan Wee-Chung Liew (CEC, 2024)

VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System. - Kate Han; Truong Thanh Nguyen; Viet Anh Vu; Alan Wee-Chung Liew; Truong Dang; Tien Thanh Nguyen (CEC, 2024)

A Novel Ensemble Aggregation Method Based on Deep Learning Representation. - Truong Thanh Nguyen; Eyad Elyan; Truong Dang; Tien Thanh Nguyen; Martin Longmuir (ICPR (24), 2024)

FAT: Fusion-Attention Transformer for Remaining Useful Life Prediction. - Trung Hieu Vu; Eyad Elyan; Will Vorley; Joe Goodlad; Truong Dang; Tien Thanh Nguyen (ICPR (10), 2024)

Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. - Truong Dang; Tien Thanh Nguyen; Alan Wee-Chung Liew; Eyad Elyan; John A. W. McCall (Knowl. Based Syst., 2024)

Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; John A. W. McCall; Eyad Elyan; Carlos Francisco Moreno-García (Cogn. Comput., 2024)

A Feature Transformation Technique for Improving Ensemble Learning Systems. - Truong Thanh Nguyen; Hieu Vu; Truong Dang; Eyad Elyan; Thanh Son Vu; Tien Thanh Nguyen (ACIIDS (2), 2025)

An Evolutionary Neural Architecture Search-Based Approach for Time Series Forecasting. - Trung Hieu Vu; Tien Thanh Nguyen; Eyad Elyan (CEC, 2025)

Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers. - Truong Dang; Tien Thanh Nguyen; Alan Wee-Chung Liew; Eyad Elyan (Cogn. Comput., 2025)