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ORCIDQuang-Vinh Dang 0001
Person information
- affiliation: Industrial University of Ho Chi Minh City, Vietnam
- affiliation (PhD 2018): University of Lorraine, Nancy, France
Other persons with the same name
- Quang-Vinh Dang 0002
![[0000-0001-9838-5073]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9838-5073")
— Masaryk University, Brno, Czech Republic (and 2 more) - Quang-Vinh Dang 0003 — Eastern International University, Binh Duong, Vietnam
- Quang-Vinh Dang 0004 — Chonnam National University, Gwangju, South Korea
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2020 – today
- 2023
[c23]Quang-Vinh Dang:
Using Transformer Technique for Intrusion Detection. FDSE 2023: 184-196- 2022
- [j4]Quang-Vinh Dang:
Using Machine Learning for Intrusion Detection Systems. Comput. Informatics 41(1): 12-33 (2022) - [c22]Quang-Vinh Dang:
Enhancing Obfuscated Malware Detection with Machine Learning Techniques. FDSE (CCIS Volume) 2022: 731-738 - [c21]Quang-Vinh Dang:
Detecting Intrusion Using Multiple Datasets in Software-Defined Networks. FDSE (CCIS Volume) 2022: 739-746 - 2021
- [j3]Quang-Vinh Dang:
Improving the performance of the intrusion detection systems by the machine learning explainability. Int. J. Web Inf. Syst. 17(5): 537-555 (2021) - [c20]Quang-Vinh Dang:
Evaluating machine learning algorithms for intrusion detection systems using the dataset CIDDS-002. CSSE 2021: 112-118 - [c19]Quang-Vinh Dang, Thai-Ha Pham, My-Linh Tran, Minh-Hung Dang, Quoc-Khanh Nguyen, Anh-Nguyen Nguyen:
Towards an automatic interior design system using GAN. DSIT 2021: 170-172 - [c18]Quang-Vinh Dang:
Intrusion Detection in Software-Defined Networks. FDSE 2021: 356-371 - [c17]Claudia-Lavinia Ignat, Quang Vinh Dang:
Users trust assessment based on their past behavior in large scale collaboration. ICCP 2021: 267-274 - [c16]Quang-Vinh Dang, My-Linh Tran, Minh-Hung Dang, Thi-Minh-Trang Tran, Huu-Nghia Nguyen, Thi-Minh-Hue Cai, Thanh-Duyen Phan:
Group's Influence Value in Logistic Regression Model and Gradient Boosting Model. ICICT (1) 2021: 713-721 - [c15]Quang-Vinh Dang, Thanh Hai Vo:
Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System. ICICT (2) 2021: 755-762 - [c14]Quang-Vinh Dang:
Assessing the Quality of Wikipedia Articles. ICMLSC 2021: 1-4 - 2020
- [c13]Quang Vinh Dang:
Understanding the Decision of Machine Learning Based Intrusion Detection Systems. FDSE 2020: 379-396 - [c12]Minh-Tuan Truong, Quang-Vinh Dang:
Digital Signatures Using Hardware Security Modules for Electronic Bills in Vietnam: Open Problems and Research Directions. FDSE (CCIS Volume) 2020: 469-475 - [c11]Quang-Vinh Dang:
Active Learning for Intrusion Detection Systems. RIVF 2020: 1-3
2010 – 2019
- 2019
- [j2]Claudia-Lavinia Ignat, Quang-Vinh Dang, Valerie L. Shalin:
The Influence of Trust Score on Cooperative Behavior. ACM Trans. Internet Techn. 19(4): 46:1-46:22 (2019) - [c10]Quang-Vinh Dang:
Studying Machine Learning Techniques for Intrusion Detection Systems. FDSE 2019: 411-426 - [c9]Quang-Vinh Dang:
Reinforcement Learning in Stock Trading. ICCSAMA 2019: 311-322 - [i2]Claudia-Lavinia Ignat, Quang-Vinh Dang, Valerie L. Shalin:
The Influence of Trust Score on Cooperative Behavior. CoRR abs/1910.09895 (2019) - 2018
- [b1]Quang-Vinh Dang:
Trust assessment in large-scale collaborative systems. (Évaluation de la confiance dans la collaboration à large échelle). University of Lorraine, Nancy, France, 2018 - [c8]Quang-Vinh Dang, Claudia-Lavinia Ignat:
Link-Sign Prediction in Dynamic Signed Directed Networks. CIC 2018: 36-45 - [c7]Quang-Vinh Dang, Jérôme François:
Utilizing attack enumerations to study SDN/NFV vulnerabilities. NetSoft 2018: 356-361 - [i1]Quang-Vinh Dang:
Outlier detection on network flow analysis. CoRR abs/1808.02024 (2018) - 2017
- [c6]Quang-Vinh Dang, Claudia-Lavinia Ignat:
dTrust: A Simple Deep Learning Approach for Social Recommendation. CIC 2017: 209-218 - [c5]Quang-Vinh Dang, Claudia-Lavinia Ignat:
An end-to-end learning solution for assessing the quality of Wikipedia articles. OpenSym 2017: 4:1-4:10 - 2016
- [j1]Quang Vinh Dang, Claudia-Lavinia Ignat:
Quality assessment of wikipedia articles: a deep learning approach by Quang Vinh Dang and Claudia-Lavinia Ignata with Martin Vesely as coordinator. SIGWEB Newsl. 2016(Autumn): 5:1-5:6 (2016) - [c4]Quang-Vinh Dang, Claudia-Lavinia Ignat:
Measuring Quality of Collaboratively Edited Documents: The Case of Wikipedia. CIC 2016: 266-275 - [c3]Quang Vinh Dang, Claudia-Lavinia Ignat:
Quality Assessment of Wikipedia Articles without Feature Engineering. JCDL 2016: 27-30 - [c2]Quang-Vinh Dang, Claudia-Lavinia Ignat:
Performance of real-time collaborative editors at large scale: User perspective. Networking 2016: 548-553 - [c1]Quang-Vinh Dang, Claudia-Lavinia Ignat:
Computational Trust Model for Repeated Trust Games. Trustcom/BigDataSE/ISPA 2016: 34-41
Coauthor Index
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last updated on 2024-04-07 22:29 CEST by the dblp team
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