Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. - Ibrahim Olatunji Idowu; Paul Fergus; Abir Jaafar Hussain; Chelsea Dobbins; Mohammed Khalaf 001; Raúl V. Casaña Eslava; Robert Keight (CIT/IUCC/DASC/PICom, 2015)

Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Russell Keenan; Robert Keight; Paul Fergus; Ibrahim Olatunji Idowu (DeSE, 2015)

Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Robert Keight; Russell Keenan; Paul Fergus; Haya Al-Askar; Andy Shaw; Ibrahim Olatunji Idowu (ICIC (1), 2016)

Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Robert Keight; Dhiya Al-Jumeily; Russell Keenan; Carl Chalmers; Paul Fergus; Wafaa Salih; Dhafar Hamed Abd; Ibrahim Olatunji Idowu (DeSE, 2017)

Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. - Raghad Al-Shabandar; Abir Hussain; Andy Laws; Robert Keight; Janet Lunn (ICIC (1), 2017)

An Intelligent Systems Approach to Primary Headache Diagnosis. - Robert Keight; Ahmed J. Aljaaf; Dhiya Al-Jumeily; Abir Jaafar Hussain; Aynur Özge; Conor Mallucci (ICIC (2), 2017)

A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Robert Keight; Russell Keenan; Ala S. Al Kafri; Carl Chalmers; Paul Fergus; Ibrahim Olatunji Idowu (ICIC (2), 2017)

Machine learning approaches to predict learning outcomes in Massive open online courses. - Raghad Al-Shabandar; Abir Hussain; Andy Laws; Robert Keight; Janet Lunn; Naeem Radi (IJCNN, 2017)

Towards the discrimination of primary and secondary headache: An intelligent systems approach. - Robert Keight; Dhiya Al-Jumeily; Abir Jaafar Hussain; Mohammed Al-Jumeily; Conor Mallucci (IJCNN, 2017)

Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. - Mohammed Khalaf 001; Abir Jaafar Hussain; Robert Keight; Dhiya Al-Jumeily; Paul Fergus; Russell Keenan; Posco Tso (Neurocomputing, 2017)

The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. - Raghad Al-Shabandar; Abir Hussain; Robert Keight; Andy Laws; Thar Baker (CEC, 2018)

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Thar Baker; Robert Keight; Paulo Lisboa; Paul Fergus; Ala S. Al Kafri (CEC, 2018)

Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning. - Natasa K. Orphanidou; Abir Hussain; Robert Keight; Paulo Lisboa; Jade Hind; Haya Al-Askar (CEC, 2018)

Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. - Raghad Al-Shabandar; Abir Jaafar Hussain; Panos Liatsis; Robert Keight (IEEE Access, 2018)

Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. - Raghad Al-Shabandar; Abir Jaafar Hussain; Panos Liatsis; Robert Keight (IEEE Access, 2019)

Students Performance Prediction in Online Courses Using Machine Learning Algorithms. - Raghad Al-Shabandar; Abir Hussain; Robert Keight; Wasiq Khan (IJCNN, 2020)