Zahraa S. Abdallah 个人学术档案

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Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University在 bcu.ac.uk 的电子邮件经过验证
Shonali KrishnaswamyMonash University在 i2r.a-star.edu.sg 的电子邮件经过验证
Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)在 deakin.edu.au 的电子邮件经过验证
João Bártolo GomesI2R - Institute for Infocomm Research - A*Star在 i2r.a-star.edu.sg 的电子邮件经过验证
Prem Prakash JayaramanSwinburne University of Technology在 swinburne.edu.au 的电子邮件经过验证
Long H. NguyenDirector, Visa Inc.在 e.ntu.edu.sg 的电子邮件经过验证
Lucia MarucciAssociate Professor in Systems and Synthetic Biology, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash University在 monash.edu 的电子邮件经过验证
Lan DuAssociate Professor, Faculty of IT, Monash University在 monash.edu 的电子邮件经过验证
Flora SalimProfessor, Cisco Chair of AI & Digital Transport, Computer Science and Engineering, UNSW在 unsw.edu.au 的电子邮件经过验证
Thomas E. GorochowskiRoyal Society University Research Fellow / Associate Professor, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Wei PangHeriot-Watt University在 hw.ac.uk 的电子邮件经过验证
Claire GriersonProfessor of Biological Sciences, University of Bristol 在 bris.ac.uk 的电子邮件经过验证
Raúl Santos-RodríguezUniversity of Bristol在 bristol.ac.uk 的电子邮件经过验证
Mark J. CarmanAssociate Professor, DEIB, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Gholamreza (Reza) HaffariProfessor and ARC Future Fellow, DSAI Dept, Monash University在 monash.edu 的电子邮件经过验证
Jonathan LionoRMIT University在 rmit.edu.au 的电子邮件经过验证
Aisling Ann O'KaneAssociate Professor (Reader) of Human-Computer Interaction for Health, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Sam JamesPhD Candidate, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Amber RoguskiUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证

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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

Machine Learning Time Series Digital Health Multi-modalities


标题按引用次数排序按年份排序按标题排序	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	141	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	108	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	65	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	64	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	63	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	54	2012
Data Preparation. ZS Abdallah, L Du, GI Webb Encyclopedia of machine learning and data mining, 318-327, 2017	50	2017
Multi-domain evaluation framework for named entity recognition tools ZS Abdallah, M Carman, G Haffari Computer Speech & Language 43, 34-55, 2017	24	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	24	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	20	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	18	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	12	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	10	2012
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	9	2023
Ddg-clustering: A novel technique for highly accurate results Z Ammar, M Gaber IADIS European Conference Data Mining 2009, 2009	7	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	6	2021
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series ZS Abdallah, MM Gaber Machine Learning 109 (11), 2029-2061, 2020	6	2020
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	3	2023
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification J Brock, ZS Abdallah arXiv preprint arXiv:2204.08461, 2022	3	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	3	2020

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