Stability Analysis of the t-SNE Algorithm for Human Activity Pattern Data. - Rebeen Ali Hamad; Eric Järpe; Jens Lundström (SMC, 2018)

A Deep-Learning-Driven Light-Weight Phishing Detection Sensor. - Bo Wei 003; Rebeen Ali Hamad; Longzhi Yang; Xuan He; Hao Wang; Bin Gao 003; Wai Lok Woo (Sensors, 2019)

Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments. - Rebeen Ali Hamad; Masashi Kimura; Jens Lundström (SN Comput. Sci., 2020)

Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors. - Rebeen Ali Hamad; Alberto Salguero Hidalgo; Mohamed-Rafik Bouguelia; Macarena Espinilla Estévez; Javier Medina Quero (IEEE J. Biomed. Health Informatics, 2020)

Dilated causal convolution with multi-head self attention for sensor human activity recognition. - Rebeen Ali Hamad; Masashi Kimura; Longzhi Yang; Wai Lok Woo; Bo Wei 003 (Neural Comput. Appl., 2021)

Overview of Human Activity Recognition Using Sensor Data. - Rebeen Ali Hamad; Wai Lok Woo; Bo Wei 003; Longzhi Yang (UKCI, 2022)

Sequential learning and shared representation for sensor-based human activity recognition. - Rebeen Ali Hamad (2022)

Interpretable and robust hospital readmission predictions from Electronic Health Records. - Hugo Calero-Díaz; Rebeen Ali Hamad; Christian Atallah; John Casement; Dexter Canoy; Nick J. Reynolds; Michael Barnes; Paolo Missier (IEEE Big Data, 2023)

ConvNet-based performers attention and supervised contrastive learning for activity recognition. - Rebeen Ali Hamad; Longzhi Yang; Wai Lok Woo; Bo Wei 003 (Appl. Intell., 2023)