Cao Truong Tran

Orcid: 0000-0002-6323-4387

According to our database1, Cao Truong Tran authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization.
Evol. Intell., April, 2024

2023
Genetic Programming for Bee Audio Classification.
Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023

2022
Improving the performance of imputation methods for gene expression classification using feature selection.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Hybrid ensemble learning approaches for cancer classification from gene expression data.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

2021
Multiple Imputation by Generative Adversarial Networks for Classification with Incomplete Data.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Key frame and skeleton extraction for deep learning-based human action recognition.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Deep Representation Learning for Vietnamese Speaker Recognition.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

2020
Improving many objective optimisation algorithms using objective dimensionality reduction.
Evol. Intell., 2020

2019
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Comput. Methods Programs Biomed., 2019

Clustering Method using Pareto Corner Search Evolutionary Algorithm for Objective Reduction in Many-Objective Optimization Problems.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Adversarial Examples Against Image-based Malware Classification Systems.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

A Pareto Corner Search Evolutionary Algorithm and Principal Component Analysis for Objective Dimensionality Reduction.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Evolutionary Machine Learning for Classification with Incomplete Data.
PhD thesis, 2018

An effective and efficient approach to classification with incomplete data.
Knowl. Based Syst., 2018

Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput., 2018

Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Genetic programming based feature construction for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple imputation and genetic programming for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Bagging and Feature Selection for Classification with Incomplete Data.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell., 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Wrapper Feature Selection Approach to Classification with Missing Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A Genetic Programming-Based Imputation Method for Classification with Missing Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Directly evolving classifiers for missing data using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multiple Imputation for Missing Data Using Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Impact of imputation of missing values on Genetic programming based multiple feature construction for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015


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