Cao Truong Tran

32 papers A 3B 4C 1Journal 7Unranked 16
YearRankTypeTitle / Venue / Authors
2024 — conf
Adaptive Sampling Technique for Building Knockoff Text Sentiment Models.
RIVF
Xuan-Cong Pham, Trung-Nguyen Hoang, Viet-Binh Do, Cao Truong Tran
2024 J jnl
Improve Performance of Pareto Corner Search-based Objective Reduction in Many-Objective Optimization.
Evol. Intell.
Xuan Hung Nguyen, Cao Truong Tran, Lam Thu Bui
2024 — conf
Integrating Transformer and Enhanced YOLOv10 for Improved Small Object Detection in RGB and Infrared Remote Sensing Imagery.
RIVF
Nguyen Thi Lan, Cao Truong Tran, Nguyen Hai Dang, Tran Thi Toi
2024 J jnl
Random subspace ensemble for directly classifying high-dimensional incomplete data.
Evol. Intell.
Cao Truong Tran, Binh P. Nguyen
2023 — conf
Genetic Programming for Bee Audio Classification.
ICIIT
Hien Nguyen Thi, Thi-Thu-Hong Phan, Cao Truong Tran
2022 — conf
Hybrid ensemble learning approaches for cancer classification from gene expression data.
RIVF
Cao Truong Tran
2022 — conf
Improving the performance of imputation methods for gene expression classification using feature selection.
RIVF
Cao Truong Tran
2021 — conf
Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion.
KSE
Dinh Tan Nguyen, Cao Truong Tran, Trung Thanh Nguyen, Cao Bao Hoang, Van Phu Luu, Ba Ngoc Nguyen, Pou Ian Cheong
2021 — conf
Deep Representation Learning for Vietnamese Speaker Recognition.
KSE
Cao Truong Tran, Dinh Tan Nguyen, Ho Tan Hoang
2021 — conf
Key frame and skeleton extraction for deep learning-based human action recognition.
RIVF
Hai-Hong Phan, Trung Tin Nguyen, Huu Phuc Ngo, Huu-Nhan Nguyen, Do Minh Hieu, Cao Truong Tran, Bao Ngoc Vi
2021 — conf
Multiple Imputation by Generative Adversarial Networks for Classification with Incomplete Data.
RIVF
Bao Ngoc Vi, Dinh Tan Nguyen, Cao Truong Tran, Huu Phuc Ngo, Chi Cong Nguyen, Hai-Hong Phan
2020 J jnl
Improving many objective optimisation algorithms using objective dimensionality reduction.
Evol. Intell.
Xuan Hung Nguyen, Lam Thu Bui, Cao Truong Tran
2019 — conf
A Pareto Corner Search Evolutionary Algorithm and Principal Component Analysis for Objective Dimensionality Reduction.
KSE
Xuan Hung Nguyen, Lam Thu Bui, Cao Truong Tran
2019 — conf
Adversarial Examples Against Image-based Malware Classification Systems.
KSE
Bao Ngoc Vi, Huu Noi Nguyen, Ngoc Tran Nguyen, Cao Truong Tran
2019 — conf
Clustering Method using Pareto Corner Search Evolutionary Algorithm for Objective Reduction in Many-Objective Optimization Problems.
SoICT
Xuan Hung Nguyen, Lam Thu Bui, Cao Truong Tran
2019 B conf
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data.
CEC
Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue
2019 J jnl
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Comput. Methods Programs Biomed.
Binh P. Nguyen, Hung N. Pham, Hop Tran, Nhung Nghiem, Quang H. Nguyen, Trang T. T. Do, Cao Truong Tran, Colin R. Simpson
2018 J jnl
An effective and efficient approach to classification with incomplete data.
Knowl. Based Syst.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui
2018 — —
Evolutionary Machine Learning for Classification with Incomplete Data.
Cao Truong Tran
2018 — conf
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Australasian Conference on Artificial Intelligence
Cao Truong Tran, Mengjie Zhang, Bing Xue, Peter Andreae
2018 J jnl
Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui
2017 — conf
Bagging and Feature Selection for Classification with Incomplete Data.
EvoApplications (1)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2017 A conf
Genetic programming based feature construction for classification with incomplete data.
GECCO
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2017 A conf
Multiple imputation and genetic programming for classification with incomplete data.
GECCO
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 B conf
A Genetic Programming-Based Imputation Method for Classification with Missing Data.
EuroGP
Cao Truong Tran, Mengjie Zhang, Peter Andreae
2016 — conf
A Wrapper Feature Selection Approach to Classification with Missing Data.
EvoApplications (1)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 — conf
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
GECCO (Companion)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 B conf
Directly evolving classifiers for missing data using genetic programming.
CEC
Cao Truong Tran, Mengjie Zhang, Peter Andreae
2016 J jnl
Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui
2015 B conf
Impact of imputation of missing values on Genetic programming based multiple feature construction for classification.
CEC
Cao Truong Tran, Peter Andreae, Mengjie Zhang
2015 A conf
Multiple Imputation for Missing Data Using Genetic Programming.
GECCO
Cao Truong Tran, Mengjie Zhang, Peter Andreae