Zahraa S. Abdallah

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

Zahraa S. Abdallah

Lecturer, Department of Engineering Mathematics, University of Bristol, UK

Verified email at bristol.ac.uk - Homepage

Machine Learning Time Series Biomarkers Multi-modalities NILM (Energy Disaggregation)


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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	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	106	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	61	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	61	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	47	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	16	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
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
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	4	2023
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification J Brock, ZS Abdallah arXiv preprint arXiv:2204.08461, 2022	3	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	2	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	2	2023

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