Robert Keight
According to our database1,
Robert Keight
authored at least 16 papers
between 2015 and 2020.
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Bibliography
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques.
IEEE Access, 2019
2018
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach.
IEEE Access, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models.
Neurocomputing, 2017
Towards the discrimination of primary and secondary headache: An intelligent systems approach.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Machine learning approaches to predict learning outcomes in Massive open online courses.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
2016
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015