Cao Truong Tran

发表

Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data

Mengjie Zhang, Bing Xue, Peter Andreae, 2018, Australasian Conference on Artificial Intelligence.

An ensemble of rule-based classifiers for incomplete data

Mengjie Zhang, Bing Xue, Peter Andreae, 2017, 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES).

Evolutionary Machine Learning for Classification with Incomplete Data

Cao Truong Tran, 2018 .

Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data

Mengjie Zhang, Bing Xue, Cao Truong Tran, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

An effective and efficient approach to classification with incomplete data

Mengjie Zhang, Bing Xue, Peter Andreae, 2018, Knowl. Based Syst..

Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions

Mengjie Zhang, Bing Xue, Peter Andreae, 2016, GECCO.

A Genetic Programming-Based Imputation Method for Classification with Missing Data

Mengjie Zhang, Peter Andreae, Cao Truong Tran, 2016, EuroGP.

Directly evolving classifiers for missing data using genetic programming

Mengjie Zhang, Peter Andreae, Cao Truong Tran, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A Wrapper Feature Selection Approach to Classification with Missing Data

Mengjie Zhang, Bing Xue, Peter Andreae, 2016, EvoApplications.

Impact of imputation of missing values on genetic programming based multiple feature construction for classification

Mengjie Zhang, Peter Andreae, Cao Truong Tran, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Multiple imputation and genetic programming for classification with incomplete data

Mengjie Zhang, Bing Xue, Peter Andreae, 2017, GECCO.

Bagging and Feature Selection for Classification with Incomplete Data

Mengjie Zhang, Bing Xue, Peter Andreae, 2017, EvoApplications.

Clustering Method using Pareto Corner Search Evolutionary Algorithm for Objective Reduction in Many-Objective Optimization Problems

Lam Thu Bui, Cao Truong Tran, Xuan Hung Nguyen, 2019, SoICT 2019.

Adversarial Examples Against Image-based Malware Classification Systems

Cao Truong Tran, Ngoc Tran Nguyen, Bao Ngoc Vi, 2019, 2019 11th International Conference on Knowledge and Systems Engineering (KSE).

Improving many objective optimisation algorithms using objective dimensionality reduction

Lam Thu Bui, Cao Truong Tran, Xuan Hung Nguyen, 2019, Evolutionary Intelligence.

Proceedings in Adaptation, Learning and Optimization

Mengjie Zhang, Peter Andreae, Lam Thu Bui, 2016, IES.

Proceedings in Adaptation, Learning and Optimization

Bing Xue, Mengjie Zhang, Peter Andreae, 2016, IES.

Genetic programming based feature construction for classification with incomplete data

Mengjie Zhang, Bing Xue, Peter Andreae, 2017, GECCO.

Improving performance for classification with incomplete data using wrapper-based feature selection

Mengjie Zhang, Bing Xue, Peter Andreae, 2016, Evol. Intell..

Improving performance of classification on incomplete data using feature selection and clustering

Mengjie Zhang, Bing Xue, Peter Andreae, 2018, Appl. Soft Comput..

Multiple Imputation for Missing Data Using Genetic Programming

Mengjie Zhang, Peter Andreae, Cao Truong Tran, 2015, GECCO.

Multiple Imputation by Generative Adversarial Networks for Classification with Incomplete Data

Cao Truong Tran, Hai-Hong Phan, Bao Ngoc Vi, 2021, 2021 RIVF International Conference on Computing and Communication Technologies (RIVF).

Deep Representation Learning for Vietnamese Speaker Recognition

Cao Truong Tran, Dinh Tan Nguyen, Ho Tan Hoang, 2021, 2021 13th International Conference on Knowledge and Systems Engineering (KSE).

Key frame and skeleton extraction for deep learning-based human action recognition

Cao Truong Tran, Hai-Hong Phan, Bao Ngoc Vi, 2021, 2021 RIVF International Conference on Computing and Communication Technologies (RIVF).

Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion

Trung Thanh Nguyen, Cao Truong Tran, Dinh Tan Nguyen, 2021, 2021 13th International Conference on Knowledge and Systems Engineering (KSE).

Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization

Cao Truong Tran, L. Bui, X. Nguyen, 2022, Evolutionary Intelligence.

Improving the performance of imputation methods for gene expression classification using feature selection

Cao Truong Tran, 2022, 2022 RIVF International Conference on Computing and Communication Technologies (RIVF).

Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records

Binh P Nguyen, Binh P. Nguyen, Colin R Simpson, 2019, Comput. Methods Programs Biomed..

Improving performance for classification with incomplete data using wrapper-based feature selection

Cao Truong Tran, Mengjie Zhang, Bing Xue, 2016, Evol. Intell..

Hybrid ensemble learning approaches for cancer classification from gene expression data

Cao Truong Tran, 2022, Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies.

Genetic Programming for Bee Audio Classification

Cao Truong Tran, Hien Nguyen Thi, Thi-Thu-Hong Phan, 2023, ICIIT.

Development of GMDH-Based Storm Surge Forecast Models for Sakaiminato, Tottori, Japan

Cao Truong Tran, Sooyoul Kim, H. Mase, 2020, Journal of Marine Science and Engineering.

Genetic Programming for storm surge forecasting

Cao Truong Tran, Cao Truong Tran, Vu Dinh Phai, 2020 .