Robert Keight

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 16

Top Topics

Gaussian Mixture Model

Learning Outcomes

Machine Learning

Top Venues

Publications

Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan
Students Performance Prediction in Online Courses Using Machine Learning Algorithms. IJCNN (2020)
Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. IEEE Access 7 (2019)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC (2018)
Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access 6 (2018)
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)
Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws, Thar Baker
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. CEC (2018)
Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Posco Tso
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. Neurocomputing 228 (2017)
Robert Keight, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Aynur Özge, Conor Mallucci
An Intelligent Systems Approach to Primary Headache Diagnosis. ICIC (2) (2017)
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi
Machine learning approaches to predict learning outcomes in Massive open online courses. IJCNN (2017)
Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu
Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. DeSE (2017)
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. ICIC (1) (2017)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. ICIC (2) (2017)
Robert Keight, Dhiya Al-Jumeily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci
Towards the discrimination of primary and secondary headache: An intelligent systems approach. IJCNN (2017)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) (2016)
Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. CIT/IUCC/DASC/PICom (2015)
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)