18. Nguyen Thi-Tuyen, Nguyen Van-Nui*, Tran Thi-Xuan and Nguyen Quoc Khanh Le*, “Improved Linear B-Cell Epitope Prediction Using CNN and BiLSTM", The 3rd International Conference on Advances in Information and Communication Technology (ICTA2024), November 16-17, 2024, Phu Tho, Viet Nam. (Scopus Q4).
17. Tran Thi-Xuan, Nguyen Thi-Tuyen, Nguyen Quoc Khanh Le and Nguyen Van-Nui*, “A Hybrid Deep Learning and Natural Language Processing Model for Plant Ubiquitination Site Prediction", The 3rd International Conference on Advances in Information and Communication Technology (ICTA2024), November 16-17, 2024, Phu Tho, Viet Nam. (Scopus Q4).
16. Nguyen Quoc Khanh Le, Van-Nui Nguyen, Thi-Tuyen Nguyen, Tran Thi-Xuan, Trang-Thi Ho, Van-Lam Ho “Deep Learning-Based Identification of Rab Proteins: A Convolutional Neural Network Approach with Evolutionary Information Integration", The Third International Conference on Intelligence of Things (ICIT2024), September 12-14, 2024, Da Nang, Vietnam. (Scopus Q3)
15. Nguyen Quoc Khanh Le, Van-Nui Nguyen, Thi-Tuyen Nguyen, Tran Thi-Xuan, Trang-Thi Ho, “Enhancing Protein Sequence Classification with a Fuzzy Neural Network: A Study in Anticancer Peptide Identification", 2024 International Conference on Fuzzy Theory and Its Applications (iFUZZY), August 10-13, 2024, Kagawa, Japan. DOI: 10.1109/iFUZZY63051.2024.10662887; (IEEE indexed).
14. Tran Thi-Xuan, Nguyen Thi-Tuyen, Le Nguyen Quoc
Khanh, Hong-Hai Nguyen and Nguyen Van-Nui*, “A Novel Deep Learning Approach for the
Prediction of Arabidopsis Thaliana Ubiquitination Sites", The 13th Conference on Information Technology and Its Application (CITA2024), July 19-20, 2024, Da Nang City, Viet Nam.
13. Nguyen Thi-Tuyen, Nguyen Van-Nui*, Tran Thi-Xuan
and Nguyen-Quoc-Khanh Le*, “A Machine Learning Approach for Predictive
Insights into Tight Junction Protein Functions", The 13th Conference on Information Technology and Its Application (CITA2024), July 19-20, 2024, Da Nang City, Viet Nam.
12. Nguyen Le Quoc Khanh, Quang-Thai Ho, Van-Nui Nguyen and Jung-Su Chang, “BERT-Promoter: an improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection", 20th
Asia Pacific Bioinformatics Conference, 04/2022, ISBN 978-629-96723.
11. Van-Nui Nguyen, Thi-Xuan Tran, Le Nguyen Quoc Khanh, Khoat Than, “Sequence-based machine learning model for phage virion proteins: a wrapper subset evaluation approach", The 24th National Symposium of Selected ICT problems, 13-14, December, 2021, Thai Nguyen, Viet Nam.
10. Trần Quang Qúy, Nguyễn Hải Minh, Nguyễn Văn Núi, Lê
Anh Tú; Ứng dụng mô hình toán học SIR và ngôn ngữ R trong phân tích dịch tễ; The 24th National Symposium of Selected ICT problems, 13-14, December, 2021, Thai Nguyen, Viet Nam, 591-597.
9. Quang-Quy Tran, Van-Nui Nguyen, Duc-Binh Nguyen, Kirpishnikov Alexandr Petrovich, “Probale characteristics of multi-channel queuing system with "impatient" claims", The 23th National Symposium of Selected ICT problems, 05-06, November, 2020, Quang Ninh, Viet Nam.
8. Van-Nui Nguyen*, Huy-Khoi Do, Thi-Xuan Tran, Nguyen-Quoc-Khanh Le, Anh-Tu Le and Tzong-Yi Lee , “
Exploiting two-layer support vector machine to predict protein SUMOylation sites", ICERA 2018 International Conference on Engineering Research and Applications, 1-2 December 2018, Thai Nguyen, Viet Nam. Springer Indexed.
7. Van-Nui Nguyen*, Thi-Xuan Tran and Huy-Khoi Do, “Towards more accurate prediction of protein SUMOylation sites by exploiting the maximal dependence decomposition method” The 21th National Symposium of Selected ICT problems, 27-28, July, 2018, Thanh Hoa, Viet Nam. pages 338-343.
6. Van-Nui Nguyen*, Hai-Minh Nguyen and Thi-Xuan Tran, “An
approach by exploiting support vector machine to characterize and identify
protein SUMOylation sites” The 20th National Symposium of Selected ICT
problems, 23-24, November, 2017, Quy Nhon, Viet Nam.
5. Hai-Minh Nguyen, Van-Nui Nguyen, and
Quang-Minh Le, “Flexible Render Medical Data in a CDA Document on
Mobile Browsers”, Fair 10, 17-18, August, 2017, Da Nang, Viet Nam.
4. Van-Nui Nguyen*, Thi-Xuan Tran, Hai-Minh Nguyen, Hong-Tan Nguyen and Tzong-Yi Lee*, 2017, “A new schema to identify S-farnesyl cysteine prenylation sites with substrate motifs” In: Akagi M., Nguyen TT., Vu DT., Phung TN., Huynh VN. (eds) Advances in Information and Communication Technology. ICTA 2016. Advances in Intelligent Systems and Computing, vol 538. Springer, Cham. ISBN: 9783319490731; ISSN: 2194-5365; DOI: 10.1007/978-3-319-49073-1.
3. Van-Minh Bui and Van-Nui Nguyen*, "The prediction of Succinylation site in protein by analyzing amino acid composition" In: Akagi M., Nguyen TT., Vu DT., Phung TN., Huynh VN. (eds) Advances in Information and Communication Technology. ICTA 2016. Advances in Intelligent Systems and Computing, vol 538. Springer, Cham. ISBN: 9783319490731; ISSN: 2194-5365; DOI: 10.1007/978-3-319-49073-1. 2. Van-Nui
Nguyen*, Hai-Minh Nguyen, Hong-Tan Nguyen, Thi-Xuan Tran, Kai-Yao Huang,
and Tzong-Yi Lee, “Apply support vector machine and maximal dependence
decomposition to identify protein ubiquitination sites with substrate motifs”,
ICTU December 2015, Thai Nguyen, Vietnam.
1. Van-Nui Nguyen*, Kai-Yao Huang,
Chien-Hsun Huang, Tzu-Hao Chang, Neil Arvin Bretaña, K. Robert Lai, Julia
Tzu-Ya Weng andTzong-Yi Lee, “Characterization and Identification of
Ubiquitin Conjugation Sites with E3 Ligase Recognition Specificities” The
Thirteenth Asia Pacific Bioinformatics Conference (APBC 2015), 21-23 January
2015, HsinChu, Taiwan.
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