An effective reliability-based improved constrained differential evolution for reliability-based design optimization of truss structures. - Vinh Ho-Huu; Trung Nguyen-Thoi; L. Le-Anh; Thao Nguyen-Trang (Adv. Eng. Softw., 2016)

Textural features selection for image classification by Bayesian method. - Tai Vo-Van; Ha Che-Ngoc; Thao Nguyen-Trang (ICNC-FSKD, 2017)

A new approach for determining the prior probabilities in the classification problem by Bayesian method. - Thao Nguyen-Trang; Tai Vovan (Adv. Data Anal. Classif., 2017)

Factors Influencing the Intentions of Using Tax Consulting Services of Firms in Ho Chi Minh City: A Structural Equation Model. - Thao Nguyen-Trang; Long Vu-Hoang; Trieu Nguyen-Thi; Ha Che-Ngoc (J. Adv. Eng. Comput., 2017)

An Improved Fuzzy Time Series Forecasting Model. - Ha Che-Ngoc; Tai Vo-Van; Quoc-Chanh Huynh-Le; Vu Ho 001; Thao Nguyen-Trang; Minh-Tuyet Chu-Thi (ECONVN, 2018)

A Differential Evolution-Based Clustering for Probability Density Functions. - Ho Kieu Diem; Vo Duy Trung; Trung Nguyen-Thoi; Vo Van Tai; Thao Nguyen-Trang (IEEE Access, 2018)

Clustering for Probability Density Functions by New k-Medoids Method. - D. Ho-Kieu; Tai Vo-Van; Thao Nguyen-Trang (Sci. Program., 2018)

An improved fuzzy time series forecasting model using the differential evolution algorithm. - Thao Nguyen-Trang (J. Intell. Fuzzy Syst., 2019)

An Efficient Hybrid Optimization Approach Using Adaptive Elitist Differential Evolution and Spherical Quadratic Steepest Descent and Its Application for Clustering. - Thao Nguyen-Trang; Trung Nguyen-Thoi; Tung Khac Truong; A. T. Pham-Chau; HungLinh Ao (Sci. Program., 2019)

A New Clustering Algorithm and Its Application in Assessing the Quality of Underground Water. - Tai Vovan; A. Nguyen-Hai; M. V. Tat-Hong; Thao Nguyen-Trang (Sci. Program., 2020)

An automatic clustering for interval data using the genetic algorithm. - Tai Vovan; Dinh Phamtoan; Le Hoang Tuan; Thao Nguyen-Trang (Ann. Oper. Res., 2021)

A new approach for face detection using the maximum function of probability density functions. - Ha Che-Ngoc; Thao Nguyen-Trang; Tran Nguyen-Bao; Trung Nguyen-Thoi; Tai Vo-Van (Ann. Oper. Res., 2022)

A new image classification method using interval texture feature and improved Bayesian classifier. - Ngoc Lethikim; Thao Nguyen-Trang; Tai Vovan (Multim. Tools Appl., 2022)

Balance-driven automatic clustering for probability density functions using metaheuristic optimization. - Thao Nguyen-Trang; Trung Nguyen-Thoi; Kim-Ngan Nguyen-Thi; Tai Vo-Van (Int. J. Mach. Learn. Cybern., 2023)

Globally automatic fuzzy clustering for probability density functions and its application for image data. - Thao Nguyen-Trang; Trung Nguyen-Thoi; Tai Vo-Van (Appl. Intell., 2023)

An efficient robust automatic clustering algorithm for interval data. - Tai Vo-Van; Ngoc Lethikim; Thao Nguyen-Trang (Commun. Stat. Simul. Comput., 2023)

Unsupervised detecting anomalies in multivariate time series by Robust Convolutional LSTM Encoder-Decoder (RCLED). - Tuan Le; Hai Canh Vu; Amélie Ponchet-Durupt; Nassim Boudaoud; Zohra Cherfi-Boulanger; Thao Nguyen-Trang (Neurocomputing, 2024)

A new semi-supervised clustering algorithm for probability density functions and applications. - Thao Nguyen-Trang; Yen Nguyen-Hoang; Tai Vo-Van (Neural Comput. Appl., 2024)

Modeling Behaviors for a New Compliant Mechanism by Recursive Hierarchy of Random Forest Models. - Hieu Giang Le; Thanh-Phong Dao; Minh Phung Dang; Thao Nguyen-Trang (IEEE Access, 2025)