An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. - Aafan Ahmad Toor; Jia-Chun Lin; Ernst Gunnar Gran; Ming-Chang Lee (FIT, 2023)

EFaR 2023: Efficient Face Recognition Competition. - Jan Niklas Kolf; Fadi Boutros; Jurek Elliesen; Markus Theuerkauf; Naser Damer; Mohamad Alansari; Oussama Abdul Hay; Sara Alansari; Sajid Javed; Naoufel Werghi; Klemen Grm; Vitomir Struc; et al. (IJCB, 2023)

UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes. - Aafan Ahmad Toor; Jia-Chun Lin; Ming-Chang Lee; Ernst Gunnar Gran (IoTBDS, 2024)

UoCAD2: An unsupervised online contextual anomaly detection approach using optimized hyperparameters of RNNs for multivariate time series. - Aafan Ahmad Toor; Jia-Chun Lin; Ernst Gunnar Gran (Internet Things, 2025)

Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector. - Aafan Ahmad Toor; Jia-Chun Lin; Ernst Gunnar Gran (CoRR, 2025)