Email: ng_phloc@yahoo.com (preferred), ngphloc@sunflowersoft.net

1. Nguyen, L. (2015). Introduction to A Framework of E-commercial Recommendation Algorithms. AASCIT Communications – The official publication of American Association for Science and Technology (AASCIT).
2. Nguyen, L., & Ho, H. (2015). A fast computational formula for Kappa coefficient. (A. Genc, S.-A. Xue, R. Rison, & V. Rocha, Eds.) Science Journal of Clinical Medicine (SJCM), 4 (1), 1-3.
3. Nguyen, L. (2015). Theorem of SIGMA-gate Inference in Bayesian Network. (V. S. Franz, Ed.) Wulfenia Journal.
4. Nguyen, L. (2014). Feasible length of Taylor polynomial on given interval and application to find the number of roots of equation. International Journal of Mathematical Analysis and Applications, 1 (5), 80-83.
5. Nguyen, L. (2014). Improving analytic function approximation by minimizing square error of Taylor polynomial. International Journal of Mathematical Analysis and Applications, 1 (4), 63-67.
6. Nguyen, L. (2014). Theorem of logarithm expectation and its application to prove sample correlation coefficient as unbiased estimate. (A. Guezane-Lakoud, W. P. Fox, E. Francomano, S. A. Episkoposian, E. Nadaraya, A. N. Raikov, et al., Eds.) Journal of Mathematics and System Science, 4 (9), 605-608.
7. Nguyen, L. (2014). A New Algorithm for Modeling and Inferring User’s Knowledge by Using Dynamic Bayesian Network. (M. Z. Raqab, Ed.) Statistics Research Letters (SRL), 3 (2).
8. Nguyen, L. (2014). User Model Clustering. (F. Shi, Ed.) Journal of Data Analysis and Information Processing (JDAIP), 2 (2), 41-48.
9. Nguyen, L. (2014). A User Modeling System for Adaptive Learning. University of Science, Ho Chi Minh city, Vietnam. Abuja, Nigeria: Standard Research Journals.
10. Nguyen, L., & Ho, H. (2014). A framework of fetal age and weight estimation. (B. S. Shetty, J. Morales, a. badawy, C. Mowa, K. K. Shukla, T. Chen, et al., Eds.) Journal of Gynecology and Obstetrics (JGO), 2 (2), 20-25.
11. Nguyen, L. (2014). A New Aware-context Collaborative Filtering Approach by Applying Multivariate Logistic Regression Model into General User Pattern. (F. Shi, Ed.) Journal of Data Analysis and Information Processing (JDAIP).
12. Nguyen, L., & Ho, H. (2014). A proposed method for choice of sample size without pre-defining error. (F. Shi, Ed.) Journal of Data Analysis and Information Processing (JDAIP).
13. Nguyen, L. (2014). An Advanced Approach of Local Counter Synchronization in Timestamp Ordering Algorithm in Distributed Concurrency Control. (S. Alwarappan, Ed.) Open Access Library Journal (OALib Journal).
14. Nguyen, L. (2014). Evaluating Adaptive Learning Model. Interactive Collaborative Learning (ICL), 2014 International Conference on (pp. 818-822). Dubai, UAE: IEEE Publisher.
15. Nguyen, L. (2014). Specifying Prior Probabilities in Bayesian Network by Maximum Likelihood Estimation method. (B. N. Buszewski, Ed.) Sylwan Journal.
16. Nguyen, L. (2013). A Maximum Likelihood Mixture Approach for Multivariate Hypothesis Testing in case of Incomplete Data. (A. Guezane-Lakoud, W. P. Fox, E. Francomano, S. A. Episkoposian, E. Nadaraya, A. N. Raikov, et al., Eds.) Journal of Mathematics and System Science.
17. Nguyen, L. (2013). A New Approach for Modeling and Discovering Learning Styles by Using Hidden Markov Model. (G. Perry, Ed.) Global Journal of Human Social Science: G - Linguistics & Education, 13 (4 Version 1.0 Year 2013), 1-10.
18. Nguyen, L. (2013). A new method to determine separated hyper-plane for non-parametric sign test in multivariate data. (A. Guezane-Lakoud, W. P. Fox, E. Francomano, S. A. Episkoposian, E. Nadaraya, A. N. Raikov, et al., Eds.) Journal of Mathematics and System Science.
19. Nguyen, L. (2013). Overview of Bayesian Network. University of Technology, Ho Chi Minh city, Vietnam. Warri, Delta State, Nigeria: Science Journal Publication.
20. Nguyen, L. (2010). Discovering User Interests by Document Classification. In I.-H. Ting, H.-J. Wu, T.-H. Ho, I.-H. Ting, H.-J. Wu, & T.-H. Ho (Eds.), Mining and Analyzing Social Networks (Vol. 288 In series “Studies in Computational Intelligence”, pp. 139-159). Springer Berlin Heidelberg.
21. Nguyen, L. (2009). A Proposal Discovering User Interests by Support Vector Machine and Decision Tree on Document Classification. The International Workshop on Social Networks Mining and Analysis for Business Applications (SNMABA2009) in conjunction with The 2009 IEEE International Conference on Social Computing (SocialCom), 4, pp. 809-814. Vancouver, Canada: Computational International Conference on Science and Engineering 2009 (CSE ’09), IEEE Publisher.
22. Nguyen, L., & Do, P. (2009). Evolution of parameters in Bayesian Overlay Model. In H. R. Arabnia, D. d. Fuente, & J. A. Olivas (Ed.), Proceedings of The 2009 International Conference on Artificial Intelligence (IC-AI’09), The 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP’09) (pp. 324-329). Monte Carlo Resort, Las Vegas, Nevada, USA: CSREA Press USA.
23. Nguyen, L. (2009). ZEBRA: A new User Modeling System for Triangular Model of Learners' Characteristics. In G. D. Magoulas, P. Charlton, D. Laurillard, K. Papanikolaou, & M. Grigoriadou (Ed.), AIED 2009: 14th conference on Artificial Intelligence in Education, Proceedings of the Workshop on “Enabling creative learning design: how HCI, User Modeling and Human Factors Help” (pp. 42-51). Brighton, United Kingdom: IOS Press Amsterdam, The Netherlands, The Netherlands.
24. Nguyen, L., & Do, P. (2009). Learning Concept Recommendation based on Sequential Pattern Mining. In E. Chang, F. Hussain, & E. Kayacan (Ed.), Proceedings of The 2009 Third International Digital Ecosystems and Technologies Conference (IEEE-DEST 2009) (pp. 66-71). Istanbul, Turkey: IEEE Publisher.
25. Nguyen, L., & Do, P. (2009). Combination of Bayesian Network and Overlay Model in User Modeling. (M. E. Auer, Ed.) International Journal of Emerging Technologies in Learning (iJET), 4 (4), 41-45.

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