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ORCIDManh Truong Dang
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2020 – today
- 2025
[j9]Truong Dang, Tien Thanh Nguyen, Alan Wee-Chung Liew, Eyad Elyan:
Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers. Cogn. Comput. 17(1): 10 (2025)- 2024
- [j8]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) - [j7]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) - [c16]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 - [c15]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 - [c14]Truong Thanh Nguyen, Eyad Elyan, Truong Dang, Tien Thanh Nguyen, Martin Longmuir:
A Novel Ensemble Aggregation Method Based on Deep Learning Representation. ICPR (24) 2024: 31-46 - [c13]Trung Hieu Vu, Eyad Elyan, Will Vorley, Joe Goodlad, Truong Dang, Tien Thanh Nguyen:
FAT: Fusion-Attention Transformer for Remaining Useful Life Prediction. ICPR (10) 2024: 286-301 - 2023
- [j6]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) - [c12]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
- [c11]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 - [c10]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
- [c9]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 - [c8]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 - [i2]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) - [i1]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
- [j5]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) - [j4]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) - [c7]Carlos Francisco Moreno-García, Truong Dang, Kyle Martin, Manish Patel, Andrew Thompson, Lesley Leishman, Nirmalie Wiratunga:
Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. KDH@ECAI 2020: 63-70 - [c6]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 - [c5]Truong Dang, Tien Thanh Nguyen, John McCall:
Toward an Ensemble of Object Detectors. ICONIP (5) 2020: 458-467
2010 – 2019
- 2019
- [j3]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) - [j2]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) - [j1]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) - [c4]Duc-Minh Ngo, Binh Tran-Thanh, Truong Dang, Tuan Tran, Tran Ngoc Thinh, Cuong Pham-Quoc:
High-Throughput Machine Learning Approaches for Network Attacks Detection on FPGA. ICCASA/ICTCC 2019: 47-60 - [c3]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
- [c2]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 - 2017
- [c1]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
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