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2020 – today
- 2024
[j7]Xuan Hung Nguyen, Cao Truong Tran
, Lam Thu Bui:
Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization. Evol. Intell. 17(2): 1079-1094 (2024)- [j6]Cao Truong Tran, Binh P. Nguyen:
Random subspace ensemble for directly classifying high-dimensional incomplete data. Evol. Intell. 17(5): 3303-3315 (2024) - 2023
- [c22]Hien Nguyen Thi, Thi-Thu-Hong Phan, Cao Truong Tran:
Genetic Programming for Bee Audio Classification. ICIIT 2023: 246-250 - 2022
- [c21]Cao Truong Tran:
Hybrid ensemble learning approaches for cancer classification from gene expression data. RIVF 2022: 88-93 - [c20]Cao Truong Tran:
Improving the performance of imputation methods for gene expression classification using feature selection. RIVF 2022: 334-339 - 2021
- [c19]Dinh Tan Nguyen, Cao Truong Tran, Trung Thanh Nguyen, Cao Bao Hoang, Van Phu Luu, Ba Ngoc Nguyen, Pou Ian Cheong:
Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion. KSE 2021: 1-6 - [c18]Cao Truong Tran, Dinh Tan Nguyen, Ho Tan Hoang:
Deep Representation Learning for Vietnamese Speaker Recognition. KSE 2021: 1-4 - [c17]Hai-Hong Phan, Trung Tin Nguyen, Huu Phuc Ngo, Huu-Nhan Nguyen, Do Minh Hieu, Cao Truong Tran, Bao Ngoc Vi:
Key frame and skeleton extraction for deep learning-based human action recognition. RIVF 2021: 1-6 - [c16]Bao Ngoc Vi, Dinh Tan Nguyen, Cao Truong Tran, Huu Phuc Ngo, Chi Cong Nguyen, Hai-Hong Phan:
Multiple Imputation by Generative Adversarial Networks for Classification with Incomplete Data. RIVF 2021: 1-6 - 2020
- [j5]Xuan Hung Nguyen, Lam Thu Bui, Cao Truong Tran:
Improving many objective optimisation algorithms using objective dimensionality reduction. Evol. Intell. 13(3): 365-380 (2020)
2010 – 2019
- 2019
- [j4]Binh P. Nguyen, Hung N. Pham, Hop Tran, Nhung Nghiem, Quang H. Nguyen, Trang T. T. Do, Cao Truong Tran, Colin R. Simpson:
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records. Comput. Methods Programs Biomed. 182 (2019) - [c15]Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue:
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. CEC 2019: 2544-2551 - [c14]Xuan Hung Nguyen, Lam Thu Bui, Cao Truong Tran:
A Pareto Corner Search Evolutionary Algorithm and Principal Component Analysis for Objective Dimensionality Reduction. KSE 2019: 1-6 - [c13]Bao Ngoc Vi, Huu Noi Nguyen, Ngoc Tran Nguyen, Cao Truong Tran:
Adversarial Examples Against Image-based Malware Classification Systems. KSE 2019: 1-5 - [c12]Xuan Hung Nguyen, Lam Thu Bui, Cao Truong Tran:
Clustering Method using Pareto Corner Search Evolutionary Algorithm for Objective Reduction in Many-Objective Optimization Problems. SoICT 2019: 78-84 - 2018
- [b1]Cao Truong Tran:
Evolutionary Machine Learning for Classification with Incomplete Data. Victoria University of Wellington, New Zealand, 2018 - [j3]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Improving performance of classification on incomplete data using feature selection and clustering. Appl. Soft Comput. 73: 848-861 (2018) - [j2]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
An effective and efficient approach to classification with incomplete data. Knowl. Based Syst. 154: 1-16 (2018) - [c11]Cao Truong Tran, Mengjie Zhang, Bing Xue, Peter Andreae:
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. Australasian Conference on Artificial Intelligence 2018: 577-589 - 2017
- [c10]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Bagging and Feature Selection for Classification with Incomplete Data. EvoApplications (1) 2017: 471-486 - [c9]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Multiple imputation and genetic programming for classification with incomplete data. GECCO 2017: 521-528 - [c8]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Genetic programming based feature construction for classification with incomplete data. GECCO 2017: 1033-1040 - 2016
- [j1]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Improving performance for classification with incomplete data using wrapper-based feature selection. Evol. Intell. 9(3): 81-94 (2016) - [c7]Cao Truong Tran, Mengjie Zhang, Peter Andreae:
Directly evolving classifiers for missing data using genetic programming. CEC 2016: 5278-5285 - [c6]Cao Truong Tran, Mengjie Zhang, Peter Andreae:
A Genetic Programming-Based Imputation Method for Classification with Missing Data. EuroGP 2016: 149-163 - [c5]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
A Wrapper Feature Selection Approach to Classification with Missing Data. EvoApplications (1) 2016: 685-700 - [c4]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. GECCO (Companion) 2016: 69-70 - [c3]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 401-415 - 2015
- [c2]Cao Truong Tran, Peter Andreae, Mengjie Zhang:
Impact of imputation of missing values on Genetic programming based multiple feature construction for classification. CEC 2015: 2398-2405 - [c1]Cao Truong Tran, Mengjie Zhang, Peter Andreae:
Multiple Imputation for Missing Data Using Genetic Programming. GECCO 2015: 583-590
Coauthor Index
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