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Robert Keight
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2020 – today
- 2020
- [c13]Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan
:
Students Performance Prediction in Online Courses Using Machine Learning Algorithms. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j3]Raghad Al-Shabandar, Abir Jaafar Hussain
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. IEEE Access 7: 149464-149478 (2019) - 2018
- [j2]Raghad Al-Shabandar, Abir Jaafar Hussain
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access 6: 73669-73685 (2018) - [c12]Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. CEC 2018: 1-8 - [c11]Mohammed Khalaf
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC 2018: 1-8 - [c10]Natasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lisboa, Jade Hind, Haya Al-Askar:
Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning. CEC 2018: 1-8 - 2017
- [j1]Mohammed Khalaf
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. Neurocomputing 228: 154-164 (2017) - [c9]Mohammed Khalaf
Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. DeSE 2017: 232-237 - [c8]Raghad Al-Shabandar, Abir Hussain, Andy Laws
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. ICIC (1) 2017: 26-36 - [c7]Robert Keight, Ahmed J. Aljaaf
An Intelligent Systems Approach to Primary Headache Diagnosis. ICIC (2) 2017: 61-72 - [c6]Mohammed Khalaf
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. ICIC (2) 2017: 115-121 - [c5]Raghad Al-Shabandar, Abir Hussain, Andy Laws
Machine learning approaches to predict learning outcomes in Massive open online courses. IJCNN 2017: 713-720 - [c4]Robert Keight, Dhiya Al-Jumeily
Towards the discrimination of primary and secondary headache: An intelligent systems approach. IJCNN 2017: 2768-2775 - 2016
- [c3]Mohammed Khalaf
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) 2016: 784-795 - 2015
- [c2]Ibrahim Olatunji Idowu, Paul Fergus
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. CIT/IUCC/DASC/PICom 2015: 215-220 - [c1]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu:
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. DeSE 2015: 231-235
Coauthor Index
aka: Abir Hussain
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