Robert Keight

16 papers B 6C 2Journal 3Unranked 5
YearRankTypeTitle / Venue / Authors
2020 B conf
Students Performance Prediction in Online Courses Using Machine Learning Algorithms.
IJCNN
Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan
2019 J jnl
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques.
IEEE Access
Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
2018 B conf
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.
CEC
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri
2018 J jnl
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach.
IEEE Access
Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
2018 B conf
Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning.
CEC
Natasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lisboa, Jade Hind, Haya Al-Askar
2018 B conf
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses.
CEC
Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws, Thar Baker
2017 — conf
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.
ICIC (2)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu
2017 — conf
An Intelligent Systems Approach to Primary Headache Diagnosis.
ICIC (2)
Robert Keight, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Aynur Özge, Conor Mallucci
2017 B conf
Machine learning approaches to predict learning outcomes in Massive open online courses.
IJCNN
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi
2017 J jnl
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models.
Neurocomputing
Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Posco Tso
2017 C conf
Recurrent Neural Network Architectures for Analysing Biomedical Data Sets.
DeSE
Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu
2017 — conf
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses.
ICIC (1)
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn
2017 B conf
Towards the discrimination of primary and secondary headache: An intelligent systems approach.
IJCNN
Robert Keight, Dhiya Al-Jumeily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci
2016 — conf
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease.
ICIC (1)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu
2015 C conf
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease.
DeSE
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu
2015 — conf
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care.
CIT/IUCC/DASC/PICom
Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight