Zahraa Said Abdallah
Orcid: 0000-0002-1291-2918
According to our database1,
Zahraa Said Abdallah
authored at least 29 papers
between 2011 and 2024.
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Bibliography
2024
Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification.
CoRR, 2024
CoRR, 2024
2023
Bridging the gap between mechanistic biological models and machine learning surrogates.
PLoS Comput. Biol., 2023
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease.
CoRR, 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time Series.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification.
CoRR, 2022
Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022
2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
2020
Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series.
Mach. Learn., 2020
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification.
CoRR, 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks.
CoRR, 2020
2018
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment.
CoRR, 2018
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Comput. Speech Lang., 2017
2016
2015
Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments.
IEEE Trans. Comput. Soc. Syst., 2015
Neurocomputing, 2015
2014
CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog.
Proceedings of the Advances in Databases and Information Systems, 2014
2012
Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networking, 2012
StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the Advanced Machine Learning Technologies and Applications, 2012
2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011