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2020 – today
- 2024
[j2]Van Quan Nguyen, Long Thanh Ngo, Le Minh Nguyen, Viet Hung Nguyen
, Nathan Shone:
Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection. Knowl. Based Syst. 301: 112366 (2024)- [c13]Dinh Cong Nguyen, Tam Le Nhan, Mai Van Hoan, Tuong Quan Nguyen, Van Quan Nguyen, The Cuong Nguyen:
A Cascade Methodology to Evaluate Black-Box Recognition Systems Based on a Copycat Algorithm. VISIGRAPP (2): VISAPP 2024: 662-670 - 2023
- [c12]Quoc Trung Tran, Van Quan Nguyen, Thanh Long Ngo:
Particle Swarm Optimization of Deep Auto-Encoder Network Architectures for Anomaly-based Intrusion Detection Systems. ICCAIS 2023: 553-559 - [c11]Van Quan Nguyen, Thanh Long Ngo, Le Minh Nguyen, Viet Hung Nguyen, Van Van Nguyen, Thi Hang Nguyen:
Hybrid of Deep Auto-Encoder and Maximum Mean Discrepancy for Cyber Reconnaissance Detection. KSE 2023: 1-8 - [c10]Chi Duc Luu, Van Quan Nguyen, Truong Son Pham, Nhien-An Le-Khac:
A Zero-Shot Deep Learning Approach for Unknown IoT Botnet Attack Detection. RIVF 2023: 278-283 - [c9]Van Quan Nguyen, Thanh Long Ngo, Le Minh Nguyen, Viet Hung Nguyen, Nathan Shone:
Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection. RIVF 2023: 289-294 - 2022
- [c8]Van Quan Nguyen, Viet Hung Nguyen, Tuan Hao Hoang, Nathan Shone:
A Novel Deep Clustering Variational Auto-Encoder for Anomaly-based Network Intrusion Detection. KSE 2022: 1-7 - 2021
- [c7]Van Quan Nguyen, Viet Hung Nguyen, Nhien-An Le-Khac, Van Loi Cao:
Automatically Estimate Clusters in Autoencoder-based Clustering Model for Anomaly Detection. RIVF 2021: 1-6 - 2020
- [c6]Van Quan Nguyen, Viet Hung Nguyen, Nhien-An Le-Khac, Van Loi Cao:
Clustering-Based Deep Autoencoders for Network Anomaly Detection. FDSE 2020: 290-303
2010 – 2019
- 2019
- [j1]Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang:
Real-time event detection using recurrent neural network in social sensors. Int. J. Distributed Sens. Networks 15(6) (2019) - 2018
- [c5]Van Quan Nguyen, Linh Van Ma, Jin-Young Kim, Kwang-Ki Kim, Jinsul Kim:
Applications of Anomaly Detection Using Deep Learning on Time Series Data. DASC/PiCom/DataCom/CyberSciTech 2018: 393-396 - [c4]Dinh-Son Tran, Hyung-Jeong Yang, Soo-Hyung Kim, Gueesang Lee, Luu Ngoc Do, Ngoc-Huynh Ho, Van Quan Nguyen:
Audio-based emotion recognition using GMM supervector an SVM linear kernel. ICMLSC 2018: 169-173 - [c3]Linh Van Ma, Van Quan Nguyen, Jaehyung Park, Jinsul Kim:
NFV-Based Mobile Edge Computing for Lowering Latency of 4K Video Streaming. ICUFN 2018: 670-673 - 2017
- [b1]Van Quan Nguyen:
Mapping of a sound environment by a mobile robot. (Cartographie d'un environnement sonore par un robot mobile). University of Lorraine, Nancy, France, 2017 - [c2]Tien Duong Vu, Hyung-Jeong Yang, Van Quan Nguyen, A-Ran Oh, Mi-Sun Kim:
Multimodal learning using convolution neural network and Sparse Autoencoder. BigComp 2017: 309-312 - [c1]Van Quan Nguyen, Hyung-Jeong Yang, Kyungbaek Kim, A-Ran Oh:
Real-Time Earthquake Detection Using Convolutional Neural Network and Social Data. BigMM 2017: 154-157
Coauthor Index
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