Impact of imputation of missing values on Genetic programming based multiple feature construction for classification. - Cao Truong Tran; Peter Andreae; Mengjie Zhang 001 (CEC, 2015)

Multiple Imputation for Missing Data Using Genetic Programming. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae (GECCO, 2015)

Directly evolving classifiers for missing data using genetic programming. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae (CEC, 2016)

A Genetic Programming-Based Imputation Method for Classification with Missing Data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae (EuroGP, 2016)

A Wrapper Feature Selection Approach to Classification with Missing Data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (EvoApplications (1), 2016)

Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (GECCO (Companion), 2016)

Proceedings in Adaptation, Learning and Optimization. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001; Lam Thu Bui (IES, 2016)

Improving performance for classification with incomplete data using wrapper-based feature selection. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (Evol. Intell., 2016)

Bagging and Feature Selection for Classification with Incomplete Data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (EvoApplications (1), 2017)

Multiple imputation and genetic programming for classification with incomplete data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (GECCO, 2017)

Genetic programming based feature construction for classification with incomplete data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (GECCO, 2017)

Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. - Cao Truong Tran; Mengjie Zhang 001; Bing Xue 001; Peter Andreae (Australasian Conference on Artificial Intelligence, 2018)

Improving performance of classification on incomplete data using feature selection and clustering. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001; Lam Thu Bui (Appl. Soft Comput., 2018)

An effective and efficient approach to classification with incomplete data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001; Lam Thu Bui (Knowl. Based Syst., 2018)

Evolutionary Machine Learning for Classification with Incomplete Data. - Cao Truong Tran (2018)

Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. - Will Pearson; Cao Truong Tran; Mengjie Zhang 001; Bing Xue 001 (CEC, 2019)

A Pareto Corner Search Evolutionary Algorithm and Principal Component Analysis for Objective Dimensionality Reduction. - Xuan Hung Nguyen 001; Lam Thu Bui; Cao Truong Tran (KSE, 2019)

Adversarial Examples Against Image-based Malware Classification Systems. - Bao Ngoc Vi; Huu Noi Nguyen; Ngoc Tran Nguyen; Cao Truong Tran (KSE, 2019)

Clustering Method using Pareto Corner Search Evolutionary Algorithm for Objective Reduction in Many-Objective Optimization Problems. - Xuan Hung Nguyen 001; Lam Thu Bui; Cao Truong Tran (SoICT, 2019)

Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records. - Binh P. Nguyen; Hung N. Pham; Hop Tran; Nhung Nghiem; Quang H. Nguyen 001; Trang T. T. Do 001; Cao Truong Tran; Colin R. Simpson (Comput. Methods Programs Biomed., 2019)

Improving many objective optimisation algorithms using objective dimensionality reduction. - Xuan Hung Nguyen 001; Lam Thu Bui; Cao Truong Tran (Evol. Intell., 2020)

Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion. - Dinh Tan Nguyen; Cao Truong Tran; Trung Thanh Nguyen; Cao Bao Hoang; Van Phu Luu; Ba Ngoc Nguyen; Pou Ian Cheong (KSE, 2021)

Deep Representation Learning for Vietnamese Speaker Recognition. - Cao Truong Tran; Dinh Tan Nguyen; Ho Tan Hoang (KSE, 2021)

Key frame and skeleton extraction for deep learning-based human action recognition. - Hai-Hong Phan; Trung Tin Nguyen; Huu Phuc Ngo; Huu-Nhan Nguyen; Do Minh Hieu; Cao Truong Tran; Bao Ngoc Vi (RIVF, 2021)

Multiple Imputation by Generative Adversarial Networks for Classification with Incomplete Data. - Bao Ngoc Vi; Dinh Tan Nguyen; Cao Truong Tran; Huu Phuc Ngo; Chi Cong Nguyen; Hai-Hong Phan (RIVF, 2021)

Hybrid ensemble learning approaches for cancer classification from gene expression data. - Cao Truong Tran (RIVF, 2022)

Improving the performance of imputation methods for gene expression classification using feature selection. - Cao Truong Tran (RIVF, 2022)

Genetic Programming for Bee Audio Classification. - Hien Nguyen Thi; Thi-Thu-Hong Phan; Cao Truong Tran (ICIIT, 2023)

Integrating Transformer and Enhanced YOLOv10 for Improved Small Object Detection in RGB and Infrared Remote Sensing Imagery. - Nguyen Thi Lan; Cao Truong Tran; Nguyen Hai Dang; Tran Thi Toi (RIVF, 2024)

Random subspace ensemble for directly classifying high-dimensional incomplete data. - Cao Truong Tran; Binh P. Nguyen (Evol. Intell., 2024)

Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization. - Xuan Hung Nguyen 001; Cao Truong Tran; Lam Thu Bui (Evol. Intell., 2024)