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Zahraa S. Abdallah
Zahraa S. Abdallah
Senior Lecturer, School of Engineering Mathematics and Technology, University of Bristol, UK
在 bristol.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Adaptive mobile activity recognition system with evolving data streams
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Neurocomputing 150, 304-317, 2015
1412015
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
1082018
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
652014
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
642016
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
632015
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
542012
Data Preparation.
ZS Abdallah, L Du, GI Webb
Encyclopedia of machine learning and data mining, 318-327, 2017
502017
Multi-domain evaluation framework for named entity recognition tools
ZS Abdallah, M Carman, G Haffari
Computer Speech & Language 43, 34-55, 2017
242017
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
242012
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
202018
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
182023
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
122011
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
102012
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
92023
Ddg-clustering: A novel technique for highly accurate results
Z Ammar, M Gaber
IADIS European Conference Data Mining 2009, 2009
72009
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
62021
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series
ZS Abdallah, MM Gaber
Machine Learning 109 (11), 2029-2061, 2020
62020
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
32023
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification
J Brock, ZS Abdallah
arXiv preprint arXiv:2204.08461, 2022
32022
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
L Chambers, MM Gaber, ZS Abdallah
arXiv preprint arXiv:2004.04116, 2020
32020
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