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The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses., , , , и . CEC, стр. 1-8. IEEE, (2018)Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning., , , , , и . CEC, стр. 1-8. IEEE, (2018)Machine learning approaches to predict learning outcomes in Massive open online courses., , , , , и . IJCNN, стр. 713-720. IEEE, (2017)Students Performance Prediction in Online Courses Using Machine Learning Algorithms., , , и . IJCNN, стр. 1-7. IEEE, (2020)Towards the discrimination of primary and secondary headache: An intelligent systems approach., , , , и . IJCNN, стр. 2768-2775. IEEE, (2017)Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease., , , , , , и . DeSE, стр. 231-235. IEEE, (2015)Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach., , , и . IEEE Access, (2018)An Intelligent Systems Approach to Primary Headache Diagnosis., , , , , и . ICIC (2), том 10362 из Lecture Notes in Computer Science, стр. 61-72. Springer, (2017)Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques., , , и . IEEE Access, (2019)Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses., , , , и . ICIC (1), том 10361 из Lecture Notes in Computer Science, стр. 26-36. Springer, (2017)