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2020 – today
- 2023
[c23]Viet-Thang Vu
, Thanh Quyen Bui Thi, Hong-Seng Gan, Viet-Vu Vu, Do Manh Quang, Vu Thanh Duc, Dinh-Lam Pham:
Activation functions for deep learning: an application for rare attack detection in wireless local area network (WLAN). ICACT 2023: 59-64- [c22]Viet-Vu Vu, Byeongnam Yoon, Dinh-Lam Pham, Hong-Quan Do, Hai-Minh Nguyen, Tran-Chung Dao, Thi-Hai-Yen Nguyen, Doan-Vinh Tran, Thi-Huong-Ly Nguyen, Viet-Thang Vu:
Density peak clustering evaluation. ICACT 2023: 126-129 - [c21]Dinh-Lam Pham, Byeongnam Yoon, Viet-Vu Vu, Joo-Chang Kim, Sang-Eun Ahn, Jeong-Hyun Chang, Hyun Yoo, Kyonghee Sun, Kyong-Sook Kim, Kwanghoon Pio Kim:
A Deep Learning-Based Real-Time Video Object Contextualizing and Archiving System. ICACT 2023: 137-144 - [c20]Anh Thi Lan Nguyen, Hong-Quan Do, Tung Trung Doan, Viet-Vu Vu, Cuong Le:
FGW-VnText: A Deep Learning-based System for Detecting and Recognizing Vietnamese Identity Cards and Citizen Identities. ICIIT 2023: 145-151 - [c19]Thanh-Hung Nguyen, Hong-Quan Do, Danh-Tuyen Pham, Tung Trung Doan, Viet-Vu Vu:
A Fast Skeleton-Based Recognition of Traffic Police Gestures with Spatial-Temporal Graph Convolutional Network. RIVF 2023: 25-30 - 2022
- [c18]Dinh-Lam Pham, Viet-Vu Vu, Byeongnam Yoon, Kyoungsook Kim, Kwanghoon Pio Kim:
A Conceptual Architecture for Deep-learning-based Video-Objects Retrieving System. ICACT 2022: 234-238 - [c17]Hong-Quan Do, T. H.-An Nguyen, Quoc-Anh Nguyen, Trung-Hieu Nguyen, Viet-Vu Vu, Cuong Le:
A Fast Clustering-based Recommender System for Big Data. ICACT 2022: 353-359 - [c16]Vu-Tuan Dang, Hong-Quan Do, Viet-Vu Vu, Byeongnam Yoon:
Facial Expression Recognition: A Survey and its Applications. ICACT 2022: 359-367 - [c15]Viet-Vu Vu, Byeongnam Yoon, Hong-Quan Do, Hai-Minh Nguyen, Tran-Chung Dao, Cong-Mau Tran, Doan-Vinh Tran:
An empirical study for density peak clustering. ICACT 2022: 365-369 - [c14]Viet-Vu Vu, Byeongnam Yoon, Cuong Le, Hong-Quan Do, Hai-Minh Nguyen, Chung Tran, Viet-Thang Vu, Cong-Mau Tran, Doan-Vinh Tran, Tien-Dung Duong:
Active learning for density peak clustering. ICACT 2022: 442-446 - [c13]Viet-Vu Vu, Byeongnam Yoon, Hong-Quan Do, Hai-Minh Nguyen, Tran-Chung Dao, Cong-Mau Tran, Doan-Vinh Tran, Thi-Nhuong Phi, Viet-Thang Vu, Tien-Dung Duong:
Active constraints selection based on density peak. ICACT 2022: 447-452 - 2021
- [c12]Hong-Quan Do, Thi-Ha Nguyen, Viet-Vu Vu, Thi-Mai Hoang, Hai-Minh Nguyen, T. Thuy-Duong Nguyen:
Evaluation of U-Net and Its Variants in Solving Upper Gastrointestinal Endoscopy Segmentation. ACOMP 2021: 70-77 - [c11]Vu-Tuan Dang, Hong-Quan Do, Viet-Vu Vu, Byeongnam Yoon:
Facial Expression Recognition: A Survey and its Applications. ICACT 2021: 359-367 - 2020
- [j6]Ahmad Ali Abin, Viet-Vu Vu:
A density-based approach for querying informative constraints for clustering. Expert Syst. Appl. 161: 113690 (2020) - [j5]Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu:
Mining shape of expertise: A novel approach based on convolutional neural network. Inf. Process. Manag. 57(4): 102239 (2020) - [c10]Hai Vu, Van Ngoc Duong, Viet-Vu Vu:
Exploiting the fine-grained similarity of a large-scale rice species using shape motif discovery. RIVF 2020: 1-6 - [i1]Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu:
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network. CoRR abs/2004.02184 (2020)
2010 – 2019
- 2019
- [j4]Viet-Vu Vu, Hong-Quan Do, Vu-Tuan Dang, Nang-Toan Do:
An efficient density-based clustering with side information and active learning: A case study for facial expression recognition task. Intell. Data Anal. 23(1): 227-240 (2019) - [c9]Byeongnam Yoon, Dinh-Lam Pham, Pham Hai Son, Pham Thanh Dat, Do Van Thien, Viet-Vu Vu, Hong-Quan Do, Nang-Toan Do:
A Study on EA based IT Governance. ICACT 2019: 686-691 - 2018
- [j3]Viet-Vu Vu:
An efficient semi-supervised graph based clustering. Intell. Data Anal. 22(2): 297-307 (2018) - [c8]Byeongnam Yoon, Kwanghoon Pio Kim, Dinh-Lam Pham, Pham Thanh Dat, Viet-Vu Vu, Hong-Quan Do, Nang-Toan Do:
Study of p-ICN defined performance measurement Enterprise Architecture. ICACT 2018: 744-748 - 2017
- [j2]Viet-Vu Vu, Nicolas Labroche:
Active seed selection for constrained clustering. Intell. Data Anal. 21(3): 537-552 (2017) - [c7]Viet-Vu Vu, Hong-Quan Do:
Density-based clustering with side information and active learning. KSE 2017: 166-171 - [c6]Viet-Vu Vu, Hong-Quan Do:
Graph-based Clustering with Background Knowledge. SoICT 2017: 167-172 - 2014
- [c5]Violaine Antoine, Nicolas Labroche, Viet-Vu Vu:
Evidential seed-based semi-supervised clustering. SCIS&ISIS 2014: 706-711 - 2012
- [j1]Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier:
Improving constrained clustering with active query selection. Pattern Recognit. 45(4): 1749-1758 (2012) - 2010
- [c4]Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier:
Boosting Clustering by Active Constraint Selection. ECAI 2010: 297-302 - [c3]Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier:
An Efficient Active Constraint Selection Algorithm for Clustering. ICPR 2010: 2969-2972 - [c2]Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier:
Active Learning for Semi-Supervised K-Means Clustering. ICTAI (1) 2010: 12-15
2000 – 2009
- 2009
- [c1]Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier:
Leader Ant Clustering with Constraints. RIVF 2009: 1-8
Coauthor Index
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