Zahraa S. Abdallah
Zahraa S. Abdallah
Lecturer, Department of Engineering Mathematics, University of Bristol, UK
Потвърден имейл адрес: bristol.ac.uk - Начална страница
Adaptive mobile activity recognition system with evolving data streams
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Neurocomputing 150, 304-317, 2015
Activity recognition with evolving data streams: A review
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018
Cardap: A scalable energy-efficient context aware distributed mobile data analytics platform for the fog
PP Jayaraman, JB Gomes, HL Nguyen, ZS Abdallah, S Krishnaswamy, ...
East European Conference on Advances in Databases and Information Systems …, 2014
Scalable energy-efficient distributed data analytics for crowdsensing applications in mobile environments
PP Jayaraman, JB Gomes, HL Nguyen, ZS Abdallah, S Krishnaswamy, ...
IEEE Transactions on Computational Social Systems 2 (3), 109-123, 2015
Anynovel: detection of novel concepts in evolving data streams
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Evolving Systems 7 (2), 73-93, 2016
StreamAR: incremental and active learning with evolving sensory data for activity recognition
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
2012 IEEE 24th International Conference on Tools with Artificial …, 2012
Data Preparation.
ZS Abdallah, L Du, GI Webb
Encyclopedia of machine learning and data mining, 318-327, 2017
CBARS: Cluster Based Classification for Activity Recognition Systems
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
International Conference on Advanced Machine Learning Technologies and …, 2012
Multi-domain evaluation framework for named entity recognition tools
ZS Abdallah, M Carman, G Haffari
Computer Speech & Language 43, 34-55, 2017
Kb-cb-n classification: Towards unsupervised approach for supervised learning
ZS Abdallah, MM Gaber
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011
Inferring transportation mode and human activity from mobile sensing in daily life
J Liono, ZS Abdallah, AK Qin, FD Salim
Proceedings of the 15th EAI International Conference on Mobile and …, 2018
Where have you been? Using location clustering and context awareness to understand places of interest
A Boytsov, A Zaslavsky, Z Abdallah
Internet of Things, Smart Spaces, and Next Generation Networking, 51-62, 2012
Ddg-clustering: A novel technique for highly accurate results
ZS Ammar, MM Gaber
Algarve, Portugal, 163, 2009
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series
ZS Abdallah, MM Gaber
Machine Learning 109 (11), 2029-2061, 2020
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment
M Mohaimenuzzaman, ZS Abdallah, J Kamruzzaman, B Srinivasan
arXiv preprint arXiv:1806.07057, 2018
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification
J Brock, ZS Abdallah
arXiv preprint arXiv:2204.08461, 2022
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
L Chambers, MM Gaber, ZS Abdallah
arXiv preprint arXiv:2004.04116, 2020
Temporal patterns in insulin needs for Type 1 diabetes
I Degen, ZS Abdallah
arXiv preprint arXiv:2211.07393, 2022
IMG-NILM: A Deep learning NILM approach using energy heatmaps
J Edmonds, Z S. Abdallah
arXiv preprint arXiv:2207.05463, 2022
Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors
K Alharthi, ZS Abdallah, S Hauert
International Conference on Swarm Intelligence, 41-53, 2022
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