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2020 – today
- 2024
[j17]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): 1141-1160 (2024)- [j16]Truong Dang, Tien Thanh Nguyen, Alan Wee-Chung Liew, Eyad Elyan, John A. W. McCall:
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. Knowl. Based Syst. 304: 112522 (2024) - [c36]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: 1-8 - [c35]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: 1-9 - 2023
- [j15]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: 108263 (2023) - [j14]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: 110691 (2023) - [c34]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: 3043-3047 - [c33]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: 413-420 - 2022
- [c32]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: 1-8 - [c31]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: 269-276 - 2021
- [j13]Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shilin Wang:
Heterogeneous ensemble selection for evolving data streams. Pattern Recognit. 112: 107743 (2021) - [c30]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: 168-180 - [c29]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: 744-751 - [c28]Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm. DICTA 2021: 1-8 - [c27]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: 307-308 - [i5]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 abs/2104.04809 (2021) - [i4]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 abs/2104.04832 (2021) - 2020
- [j12]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. 201-202: 106034 (2020) - [j11]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: 107104 (2020) - [c26]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: 358-370 - [c25]Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall:
WEC: Weighted Ensemble of Text Classifiers. CEC 2020: 1-8 - [c24]Tien Thanh Nguyen, John McCall, Allan Wilson, Laud Ochei, Helen Corbett, Phil Stockton:
Evolved ensemble of detectors for gross error detection. GECCO Companion 2020: 281-282 - [c23]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: 725-733 - [c22]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: 251-259 - [c21]Truong Dang, Tien Thanh Nguyen, John McCall:
Toward an Ensemble of Object Detectors. ICONIP (5) 2020: 458-467 - [i3]Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Streaming Active Deep Forest for Evolving Data Stream Classification. CoRR abs/2002.11816 (2020)
2010 – 2019
- 2019
- [j10]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): 1-9 (2019) - [j9]Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Rabi Sharma, Alan Wee-Chung Liew:
A lossless online Bayesian classifier. Inf. Sci. 489: 1-17 (2019) - [j8]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: 36-58 (2019) - [j7]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: 35-51 (2019) - [j6]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: 96-113 (2019) - [j5]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): 2168-2177 (2019) - [c20]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: 39-46 - [c19]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: 302-307 - [c18]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: 608-620 - 2018
- [j4]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: 795-815 (2018) - [j3]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: 144-160 (2018) - [j2]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: 280-293 (2018) - [c17]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: 576-586 - [c16]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: 599-609 - [c15]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: 202-205 - 2017
- [c14]Tien Thanh Nguyen, Anthony Mouraud, Mathieu Thevenin, Gwenolé Corre, Olivier Pasquier, Sébastien Pillement:
Model-driven reliability evaluation for MPSoC design. DASIP 2017: 1-6 - [c13]Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Tien Thanh Nguyen, Shilin Wang:
A Novel Bayesian Framework for Online Imbalanced Learning. DICTA 2017: 1-7 - [c12]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: 1-8 - [i2]Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Aggregation of Classifiers: A Justifiable Information Granularity Approach. CoRR abs/1703.05411 (2017) - [i1]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 abs/1704.07938 (2017) - 2016
- [j1]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: 198-212 (2016) - [c11]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: 1-6 - 2014
- [c10]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: 1698-1705 - [c9]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: 33-43 - [c8]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: 56-67 - [c7]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: 3-12 - [c6]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: 46-51 - [c5]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: 60-68 - [c4]Cuong To, Tien Thanh Nguyen, Alan Wee-Chung Liew:
A Hough Transform-Based Biclustering Algorithm for Gene Expression Data. ICMLC (CCIS volume) 2014: 97-106 - [c3]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: 362-370 - [c2]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: 471-476 - [c1]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: 1469-1474
Coauthor Index
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