MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Timothy R. McIntosh (CoRR, 2019)

Large-Scale Outlier Detection for Low-Cost PM₁₀ Sensors. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Hooman Alavizadeh (IEEE Access, 2020)

MSD-Kmeans: A Hybrid Algorithm for Efficient Detection of Global and Local Outliers. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Timothy R. McIntosh (BigDataSE, 2021)

AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Amardeep Singh; Wen Xu; Seyit Camtepe (IEEE Access, 2021)

Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset. - Wen Xu; Julian Jang-Jaccard; Amardeep Singh; Yuanyuan Wei 005; Fariza Sabrina (IEEE Access, 2021)

LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data. - Yuanyuan Wei 005; Julian Jang-Jaccard; Wen Xu; Fariza Sabrina; Seyit Camtepe; Mikael Boulic (CoRR, 2022)

Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems. - Tong Liu 016; Fariza Sabrina; Julian Jang-Jaccard; Wen Xu; Yuanyuan Wei 005 (Sensors, 2022)

Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Wen Xu; Seyit Camtepe; Aeryn Dunmore (CoRR, 2023)

Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods. - Yuanyuan Wei 005; Julian Jang-Jaccard; Amardeep Singh; Fariza Sabrina; Seyit Camtepe (CoRR, 2023)