Tien Thanh Nguyen

According to our database, Tien Thanh Nguyen authored at least 59 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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., February, 2025

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., May, 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

FAT: Fusion-Attention Transformer for Remaining Useful Life Prediction.

Trung Hieu Vu, Eyad Elyan, Will Vorley, Joe Goodlad, Truong Dang, Tien Thanh Nguyen

Proceedings of the Pattern Recognition - 27th International Conference, 2024

A Novel Ensemble Aggregation Method Based on Deep Learning Representation.

Truong Thanh Nguyen, Eyad Elyan, Truong Dang, Tien Thanh Nguyen, Martin Longmuir

Proceedings of the Pattern Recognition - 27th International Conference, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture.

Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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., July, 2023

DEFEG: Deep Ensemble with Weighted Feature Generation.

Anh Vu Luong, Tien Thanh Nguyen, Kate Han, Trung Hieu Vu, John McCall, Alan Wee-Chung Liew

Knowl. Based Syst., 2023

A Weighted Ensemble of Regression Methods for Gross Error Identification Problem.

Daniel Dobos, Truong Dang, Tien Thanh Nguyen, John McCall, Allan Wilson, Helen Corbett, Phil Stockton

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

LightVoc: An Upsampling-Free GAN Vocoder Based On Conformer And Inverse Short-time Fourier Transform.

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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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, Alan Wee-Chung Liew

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Ensemble of deep learning models with surrogate-based optimization for medical image segmentation.

Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, John McCall, Tien Thanh Nguyen

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Heterogeneous ensemble selection for evolving data streams.

Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shilin Wang

Pattern Recognit., 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

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm.

Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

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

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020

Ensemble Selection based on Classifier Prediction Confidence.

Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Alan Wee-Chung Liew, John McCall

Pattern Recognit., 2020

Evolving interval-based representation for multiple classifier fusion.

Tien Thanh Nguyen, Manh Truong Dang, Vimal Anand Baghel, Anh Vu Luong, John McCall, Alan Wee-Chung Liew

Knowl. Based Syst., 2020

Streaming Active Deep Forest for Evolving Data Stream Classification.

Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew

CoRR, 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

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Toward an Ensemble of Object Detectors.

Truong Dang, Tien Thanh Nguyen, John McCall

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-layer heterogeneous ensemble with classifier and feature selection.

Tien Thanh Nguyen, Nang Van Pham, Manh Truong Dang, Anh Vu Luong, John McCall, Alan Wee-Chung Liew

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolved ensemble of detectors for gross error detection.

Tien Thanh Nguyen, John McCall, Allan Wilson, Laud Ochei, Helen Corbett, Phil Stockton

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

WEC: Weighted Ensemble of Text Classifiers.

Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

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

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

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

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

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

Pattern Recognit., 2019

A lossless online Bayesian classifier.

Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Rabi Sharma, Alan Wee-Chung Liew

Inf. Sci., 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

Deep Heterogeneous Ensemble.

Tien Thanh Nguyen, Manh Truong Dang, Dung Pham, Lan Phuong Dao, Anh Vu Luong, John McCall, Alan Wee-Chung Liew

Aust. J. Intell. Inf. Process. Syst., 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

Proceedings of the Neural Information Processing - 26th International Conference, 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

Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

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

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

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

High-Level Reliability Evaluation of Reconfiguration-Based Fault Tolerance Techniques.

Tien Thanh Nguyen, Mathieu Thevenin, Anthony Mouraud, Gwenolé Corre, Olivier Pasquier, Sébastien Pillement

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 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

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

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

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

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

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

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

A Novel Bayesian Framework for Online Imbalanced Learning.

Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Tien Thanh Nguyen, Shilin Wang

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Model-driven reliability evaluation for MPSoC design.

Tien Thanh Nguyen, Anthony Mouraud, Mathieu Thevenin, Gwenolé Corre, Olivier Pasquier, Sébastien Pillement

Proceedings of the 2017 Conference on Design and Architectures for Signal and Image Processing, 2017

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

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

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

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

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 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

Proceedings of the 2nd International Conference on Systems and Informatics, 2014

A Hough Transform-Based Biclustering Algorithm for Gene Expression Data.

Cuong To, Tien Thanh Nguyen, Alan Wee-Chung Liew

Proceedings of the Machine Learning and Cybernetics, 2014

Fuzzy If-Then Rules Classifier on Ensemble Data.

Tien Thanh Nguyen, Alan Wee-Chung Liew, Cuong To, Xuan Cuong Pham, Mai Phuong Nguyen

Proceedings of the Machine Learning and Cybernetics, 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

Proceedings of the Machine Learning and Cybernetics, 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

Proceedings of the Machine Learning and Cybernetics, 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

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 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

Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 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

Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2014