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Journal Articles
- 2024
[j5]Nga Nguyen Thi, Anh Huy Phan, Van Loi Cao, Pham Thanh Hiep
:
Reliable Pilot Search Method for Enhancing BER Performance in Underwater Acoustic OFDM Systems with MMSE Estimator. Int. J. Wirel. Inf. Networks 31(2): 84-95 (2024)- 2022
- [j4]Huu Noi Nguyen, Nguyen Ngoc Tran, Tuan Hao Hoang, Van Loi Cao:
Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection. SN Comput. Sci. 3(6): 474 (2022) - [j3]Ly Vu, Van Loi Cao, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz:
Learning Latent Representation for IoT Anomaly Detection. IEEE Trans. Cybern. 52(5): 3769-3782 (2022) - 2019
- [j2]Van Loi Cao, Miguel Nicolau, James McDermott:
Learning Neural Representations for Network Anomaly Detection. IEEE Trans. Cybern. 49(8): 3074-3087 (2019) - 2017
- [j1]Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac:
One-Class Collective Anomaly Detection Based on LSTM-RNNs. Trans. Large Scale Data Knowl. Centered Syst. 36: 73-85 (2017)
Conference and Workshop Papers
- 2023
- [c13]Huu Noi Nguyen, Nguyen Ngoc Tran, Van Loi Cao:
Deep Clustering Based Latent Representation for IoT Malware Detection. ICCAIS 2023: 668-673 - [c12]Van Loi Cao, Manh Tuan Nguyen, Trang Dang Le Dinh:
Few-Shot Learning with Discriminative Representation for Cyberattack Detection. KSE 2023: 1-6 - 2021
- [c11]Huu Noi Nguyen, Van Cuong Nguyen, Nguyen Ngoc Tran, Van Loi Cao:
Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection. FDSE 2021: 272-290 - [c10]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
- [c9]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 - 2019
- [c8]Ly Vu, Van Loi Cao, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz:
Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System. ICC 2019: 1-6 - [c7]Cong Thanh Bui, Van Loi Cao, Minh Hoang, Quang Uy Nguyen:
A Clustering-based Shrink AutoEncoder for Detecting Anomalies in Intrusion Detection Systems. KSE 2019: 1-5 - 2018
- [c6]Thi Huong Chu, Quang Uy Nguyen, Van Loi Cao:
Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming. SoICT 2018: 77-83 - 2017
- [c5]Van Loi Cao, Miguel Nicolau, James McDermott:
Late-acceptance and step-counting hill-climbing GP for anomaly detection. GECCO (Companion) 2017: 221-222 - 2016
- [c4]Van Loi Cao, Miguel Nicolau, James McDermott:
One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming. EuroGP 2016: 3-18 - [c3]Van Loi Cao, Nhien-An Le-Khac, Michael O'Neill, Miguel Nicolau, James McDermott:
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data. EvoApplications (1) 2016: 35-45 - [c2]Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac:
Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks. FDSE 2016: 141-152 - [c1]Van Loi Cao, Miguel Nicolau, James McDermott:
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection. PPSN 2016: 717-726
Informal and Other Publications
- 2018
- [i3]Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac:
One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks. CoRR abs/1802.00324 (2018) - 2017
- [i2]Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac:
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network. CoRR abs/1703.09752 (2017) - [i1]Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael O'Neill, James McDermott:
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets. CoRR abs/1704.03522 (2017)
Coauthor Index
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