KB-CB-N classification: Towards unsupervised approach for supervised learning. - Zahraa Said Abdallah; Mohamed Medhat Gaber (CIDM, 2011)

CBARS: Cluster Based Classification for Activity Recognition Systems. - Zahraa Said Abdallah; Mohamed Medhat Gaber; Bala Srinivasan 002; Shonali Krishnaswamy (AMLTA, 2012)

StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition. - Zahraa Said Abdallah; Mohamed Medhat Gaber; Bala Srinivasan 002; Shonali Krishnaswamy (ICTAI, 2012)

Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest. - Andrey Boytsov; Arkady B. Zaslavsky; Zahraa Said Abdallah (NEW2AN, 2012)

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 (ADBIS, 2014)

Adaptive mobile activity recognition system with evolving data streams. - Zahraa Said Abdallah; Mohamed Medhat Gaber; Bala Srinivasan 002; Shonali Krishnaswamy (Neurocomputing, 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)

AnyNovel: detection of novel concepts in evolving data streams. - Zahraa Said Abdallah; Mohamed Medhat Gaber; Bala Srinivasan 002; Shonali Krishnaswamy (Evol. Syst., 2016)

Multi-domain evaluation framework for named entity recognition tools. - Zahraa Said Abdallah; Mark James Carman; Gholamreza Haffari (Comput. Speech Lang., 2017)

Data Preparation. - Zahraa Said Abdallah; Lan Du 002; Geoffrey I. Webb (Encyclopedia of Machine Learning and Data Mining, 2017)

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. - Jonathan Liono; Zahraa S. Abdallah; A. Kai Qin; Flora D. Salim (MobiQuitous, 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 002 (CoRR, 2018)

Activity Recognition with Evolving Data Streams: A Review. - Zahraa Said Abdallah; Mohamed Medhat Gaber; Bala Srinivasan 002; Shonali Krishnaswamy (ACM Comput. Surv., 2018)

DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks. - Lorraine Chambers; Mohamed Medhat Gaber; Zahraa S. Abdallah (CoRR, 2020)

Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification. - Zahraa S. Abdallah; Mohamed Medhat Gaber (CoRR, 2020)

Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series. - Zahraa S. Abdallah; Mohamed Medhat Gaber (Mach. Learn., 2020)

Transfer learning approach for detecting psychological distress in brexit tweets. - Sean-Kelly Palicki; Shereen Fouad; Mariam Adedoyin-Olowe; Zahraa S. Abdallah (SAC, 2021)

Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors. - Khulud Alharthi; Zahraa S. Abdallah; Sabine Hauert (ANTS Conference, 2022)

Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification. - James Brock; Zahraa S. Abdallah (CoRR, 2022)

Understandable Controller Extraction from Video Observations of Swarms. - Khulud Alharthi; Zahraa S. Abdallah; Sabine Hauert (CoRR, 2022)

Temporal patterns in insulin needs for Type 1 diabetes. - Isabella Degen; Zahraa S. Abdallah (CoRR, 2022)

RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time Series. - Luca A. Bennett; Zahraa S. Abdallah (AALTD@ECML/PKDD, 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 Gordon James; Miranda Armstrong; Zahraa S. Abdallah; Aisling Ann O'Kane (CHI, 2023)

IMG-NILM: A Deep learning NILM approach using energy heatmaps. - Jonah Edmonds; Zahraa S. Abdallah (SAC, 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)

Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease. - Maha M. Alwuthaynani; Zahraa S. Abdallah; Raúl Santos-Rodríguez (CoRR, 2023)

Bridging the gap between mechanistic biological models and machine learning surrogates. - Ioana M. Gherman; Zahraa S. Abdallah; Wei Pang 001; Thomas E. Gorochowski; Claire S. Grierson; Lucia Marucci (PLoS Comput. Biol., 2023)

Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification. - Amarpal Sahota; Amber Roguski; Matthew W. Jones; Zahraa S. Abdallah; Raúl Santos-Rodríguez (MLSP, 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)

Stratify: Unifying Multi-Step Forecasting Strategies. - Riku Green; Grant Stevens; Zahraa Said Abdallah; Telmo de Menezes e Silva Filho (CoRR, 2024)

Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches. - Sam Gordon James; Miranda Elaine Glynis Armstrong; Zahraa S. Abdallah; Harry Emerson; Aisling Ann O'Kane (CHI, 2025)

Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone. - Khulud Alharthi; Zahraa S. Abdallah; Sabine Hauert (EuroGP, 2025)

Towards deployment-centric multimodal AI beyond vision and language. - Xianyuan Liu; Jiayang Zhang; Shuo Zhou; Thijs L. van der Plas; Avish Vijayaraghavan; Anastasiia Grishina; Mengdie Zhuang; Daniel Schofield; Christopher Tomlinson; Yuhan Wang; Ruizhe Li; Louisa van Zeeland; et al. (CoRR, 2025)

KnowEEG: Explainable Knowledge Driven EEG Classification. - Amarpal Sahota; Navid Mohammadi Foumani; Raúl Santos-Rodríguez; Zahraa S. Abdallah (CoRR, 2025)

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering. - Isabella Degen; Zahraa S. Abdallah; Henry W. J. Reeve; Kate Robson Brown (CoRR, 2025)

Canonical Correlation Patterns for Validating Clustering of Multivariate Time Series. - Isabella Degen; Zahraa S. Abdallah; Kate Robson Brown; Henry W. J. Reeve (CoRR, 2025)

BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches. - Sam Gordon James; Miranda Elaine Glynis Armstrong; Aisling Ann O'Kane; Harry Emerson; Zahraa S. Abdallah (CoRR, 2025)