Zahraa Said Abdallah

According to our database, Zahraa Said Abdallah authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting.

Riku Green, Grant Stevens, Telmo de Menezes e Silva Filho, Zahraa S. Abdallah

CoRR, 2024

2023

Bridging the gap between mechanistic biological models and machine learning surrogates.

Ioana M. Gherman, Zahraa S. Abdallah, Wei Pang, Thomas E. Gorochowski, Claire S. Grierson, Lucia Marucci

PLoS Comput. Biol., 2023

Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease.

Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos-Rodríguez

CoRR, 2023

A Time Series Approach to Parkinson's Disease Classification from EEG.

Amarpal Sahota, Amber Roguski, Matthew W. Jones, Michal Rolinski, Alan L. Whone, Raúl Santos-Rodriguez, Zahraa S. Abdallah

CoRR, 2023

IMG-NILM: A Deep learning NILM approach using energy heatmaps.

Jonah Edmonds, Zahraa S. Abdallah

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.

Sam James, Miranda Armstrong, Zahraa S. Abdallah, Aisling Ann O'Kane

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time Series.

Luca A. Bennett, Zahraa S. Abdallah

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Temporal patterns in insulin needs for Type 1 diabetes.

Isabella Degen, Zahraa S. Abdallah

CoRR, 2022

Understandable Controller Extraction from Video Observations of Swarms.

Khulud Alharthi, Zahraa S. Abdallah, Sabine Hauert

CoRR, 2022

Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification.

James Brock, Zahraa S. Abdallah

CoRR, 2022

Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors.

Khulud Alharthi, Zahraa S. Abdallah, Sabine Hauert

Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021

Transfer learning approach for detecting psychological distress in brexit tweets.

Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe, Zahraa S. Abdallah

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.

Zahraa S. Abdallah, Mohamed Medhat Gaber

Mach. Learn., 2020

Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification.

Zahraa S. Abdallah, Mohamed Medhat Gaber

CoRR, 2020

DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks.

Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah

CoRR, 2020

2018

Activity Recognition with Evolving Data Streams: A Review.

Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy

ACM Comput. Surv., 2018

Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment.

Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman, Bala Srinivasan

CoRR, 2018

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life.

Jonathan Liono, Zahraa S. Abdallah, A. Kai Qin, Flora D. Salim

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

2017

Data Preparation.

Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Multi-domain evaluation framework for named entity recognition tools.

Zahraa Said Abdallah, Mark James Carman, Gholamreza Haffari

Comput. Speech Lang., 2017

2016

AnyNovel: detection of novel concepts in evolving data streams.

Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy

Evol. Syst., 2016

2015

Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments.

Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky

IEEE Trans. Comput. Soc. Syst., 2015

Adaptive mobile activity recognition system with evolving data streams.

Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy

Neurocomputing, 2015

2014

CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog.

Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky

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.

Andrey Boytsov, Arkady B. Zaslavsky, Zahraa Said Abdallah

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.

Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

CBARS: Cluster Based Classification for Activity Recognition Systems.

Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy

Proceedings of the Advanced Machine Learning Technologies and Applications, 2012

2011

KB-CB-N classification: Towards unsupervised approach for supervised learning.

Zahraa Said Abdallah, Mohamed Medhat Gaber

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011