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Rebeen Ali Hamad
Rebeen Ali Hamad
Research Associate
Verified email at newcastle.ac.uk - Homepage
Title
Cited by
Cited by
Year
A deep-learning-driven light-weight phishing detection sensor
B Wei, RA Hamad, L Yang, X He, H Wang, B Gao, WL Woo
Sensors 19 (19), 4258, 2019
642019
Efficient activity recognition in smart homes using delayed fuzzy temporal windows on binary sensors
R Ali Hamad, AG Salguero, MR Bouguelia, M Espinilla, JM Quero
IEEE Journal of Biomedical and Health Informatics, 1-3, 2019
592019
Dilated causal convolution with multi-head self attention for sensor human activity recognition
RA Hamad, M Kimura, L Yang, WL Woo, B Wei
Neural Computing and Applications 33, 13705-13722, 2021
282021
Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments
RA Hamad, M Kimura, J Lundström
SN Computer Science 1 (4), 2020
222020
Stability Analysis of the t-SNE Algorithm for Human Activity Pattern Data
RA Hamad, E Jarpe, J lundstrom
The 2018 IEEE International Conference on Systems, Man, and Cybernetics …, 2018
17*2018
Joint learning of temporal models to handle imbalanced data for human activity recognition
RA Hamad, L Yang, WL Woo, B Wei
Applied Sciences 10 (15), 5293, 2020
162020
Emotion and polarity prediction from Twitter
RA Hamad, SM Alqahtani, MT Torres
2017 Computing Conference, 297-306, 2017
42017
Sequential learning and shared representation for sensor-based human activity recognition
RA Hamad
Northumbria University, 2022
2022
ConvNet-based performers attention and supervised contrastive learning for activity recognition
R Hamad, L Yang, WL Woo, B Wei
Applied Intelligence, 2022
2022
Cross-Domain Activity Recognition Using Shared Representation in Sensor Data
RA Hamad, L Yang, WL Woo, B Wei
IEEE Sensors Journal 22 (13), 13273-13284, 2022
2022
Towards Reliable, Stable and Fast Learning for Smart Home Activity Recognition
R Ali Hamad
Halmstad University Press, 2022
2022
Classification of Emotion and Polarity from Twitter Data
RA Hamad
University of Nottingham, 2016
2016
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Articles 1–12