Zahraa S. Abdallah
Zahraa S. Abdallah
Lecturer, Department of Engineering Mathematics, University of Bristol, UK
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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, ...
Advances in Databases and Information Systems: 18th East European Conference …, 2014
AnyNovel: Detection of novel concepts in evolving data streams: An application for activity recognition
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Evolving Systems 7, 73-93, 2016
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
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
Multi-domain evaluation framework for named entity recognition tools
ZS Abdallah, M Carman, G Haffari
Computer Speech & Language 43, 34-55, 2017
CBARS: Cluster Based Classification for Activity Recognition Systems
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Advanced Machine Learning Technologies and Applications: First International …, 2012
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
Bridging the Gap between Mechanistic Biological Models and Machine Learning Surrogates
WP Ioana M. Gherman , Lucia Marucci, Zahraa S. Abdallah, Claire Grierson ...
PLOS Computational Biology 19 (4), e1010988, 2023
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
Where have you been? Using location clustering and context awareness to understand places of interest
A Boytsov, A Zaslavsky, Z Abdallah
Conference on Internet of Things and Smart Spaces, 51-62, 2012
Ddg-clustering: A novel technique for highly accurate results
Z Ammar, M Gaber
IADIS European Conference Data Mining 2009, 2009
Transfer learning approach for detecting psychological distress in brexit tweets
SK Palicki, S Fouad, M Adedoyin-Olowe, ZS Abdallah
Proceedings of the 36th annual ACM symposium on applied computing, 967-975, 2021
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series
ZS Abdallah, MM Gaber
Machine Learning 109 (11), 2029-2061, 2020
Chronic care in a life transition: Challenges and opportunities for artificial intelligence to support young adults with type 1 diabetes moving to university
S James, M Armstrong, Z Abdallah, AA O'Kane
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification
J Brock, ZS Abdallah
arXiv preprint arXiv:2204.08461, 2022
IMG-NILM: A Deep learning NILM approach using energy heatmaps
J Edmonds, Z S. Abdallah
The 38th ACM/SIGAPP Symposium On Applied Computing (SAC23), 2023
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease
MM Alwuthaynani, ZS Abdallah, R Santos-Rodriguez
The 7th international Workshop on Health Intelligence, AAAI, Washington DC, 2023
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Artículos 1–20