A Coupling Support Vector Machines with the Feature Learning of Deep Convolutional Neural Networks for Classifying Microarray Gene Expression Data. - Phuoc-Hai Huynh; Van Hoa Nguyen; Thanh-Nghi Do (ACIIDS (Extended Posters), 2018)

Random ensemble oblique decision stumps for classifying gene expression data. - Phuoc-Hai Huynh; Van Hoa Nguyen; Thanh-Nghi Do (SoICT, 2018)

A Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification. - Phuoc-Hai Huynh; Van Hoa Nguyen; Thanh-Nghi Do (FDSE, 2019)

Novel hybrid DCNN-SVM model for classifying RNA-sequencing gene expression data. - Phuoc-Hai Huynh; Van Hoa Nguyen; Thanh-Nghi Do (J. Inf. Telecommun., 2019)

Improvements in the Large p, Small n Classification Issue. - Phuoc-Hai Huynh; Van Hoa Nguyen; Thanh-Nghi Do (SN Comput. Sci., 2020)

Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification. - Phuoc-Hai Huynh; Luyl-Da Quach; Lan Thi Thu Le; Thanh-Nghi Doan (ICIIT, 2023)

First approach to Digitalize Academic Records in Viet Nam using Blockchain Technology: Provide concepts to apply Blockchain to decentralized academic record management in Viet Nam. - Luyl-Da Quach; Tien Quang Huynh; Uy Hoang Anh Cao; Khoi Minh Nguyen; Khoa Dang Nguyen; Tu Xuan Le; Phuoc-Hai Huynh (ICIIT, 2023)

Enhancing Explainable Herbal Recognition with Vision Transformer Features and SVM. - Phuoc-Hai Huynh (FDSE (1), 2024)

Clinical Data-Driven Explainable AI for COVID-19 Treatment Outcome Analysis. - Phuoc-Hai Huynh (FDSE (1), 2024)