[1]. Nguyen Q.D., Pham T.H., Ho T.B., Tran D.H., Pham Q.T., Computational Reconstruction of Metabolic Networks from High-throughput Profiling Data, Journal of Computer Science and Cybernetics, Vol. 27, 2011, No.1, 23-35

[2]. Pham Q.T., Hoang T.L., Nguyen T.T., Improving Simplification of Support Vector Machine for Classification, International Journal of Machine Learning and Computing, vol. 8, no. 4, pp. 372-376, 2018 (Scopus, Q3)

[3]. Pham Q.T., Hoang T.L., Deep Learning and RBF Hybrid Models for Flower Image Recognition, International Journal of Science, Engineering and Technology, Vol. 11, Iss. 2, 2023

[1]. Pham Q.T., Nguyen D.D., Nguyen T.T., A comparison of SimpSVM and RVM on sign language recognition, In the Proceedings of the International Conference on Machine Learning and Soft Computing (ICMLSC 2017), ISBN: 978-1-4503-4828-7, ACM, 2017, pp. 98-104 (Scopus)

[2]. Pham Q.T., Nguyen T.T., Hoang T.L., The SVM, SimpSVM and RVM on sign language recognition problem, In the Proceedings of the 7th International Conference on Information Science and Technology (ICIST 2017), ISBN: 978-1-5090-5401-5, IEEE, 2017, pp. 398-403

[3]. Nguyen D.H., Pham Q.T., Nguyen D.D., RBF Models with Shallow and Deep Feature for Skeleton-based Human Gesture Recognition, In the Proceedings of the National Foundation for Science and Technology Development (NAFOSTED) Conference on Information and Computer Science (NICS), IEEE, 2017, pp. 72-77.

[4]. Pham Q.T., Nguyen T.T., Hoang T.L., A Modification of Solution Optimization in Support Vector Machine Simplification for Classification, In: Bhateja V., Nguyen B., Nguyen N., Satapathy S., Le DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore, 2018, pp. 149-158 (ISI Web of Science, Scopus)