| Predicting student performance using personalized analytics A Elbadrawy, A Polyzou, Z Ren, M Sweeney, G Karypis, H Rangwala Computer 49 (4), 61-69, 2016 | 114 | 2016 |
| User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items A Elbadrawy, G Karypis ACM Transactions on Intelligent Systems and Technology (TIST) 6 (3), 1-20, 2015 | 60 | 2015 |
| Collaborative multi-regression models for predicting students' performance in course activities A Elbadrawy, RS Studham, G Karypis proceedings of the fifth international conference on learning analytics and …, 2015 | 59 | 2015 |
| Domain-aware grade prediction and top-n course recommendation A Elbadrawy, G Karypis Proceedings of the 10th ACM Conference on Recommender Systems, 183-190, 2016 | 54 | 2016 |
| Personalized multi-regression models for predicting students’ performance in course activities A Elbadrawy, RS Studham, G Karypis | 22 | 2014 |
| UPM: Discovering Course Enrollment Sequences Associated with Success A Elbadrawy, G Karypis Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 2 | 2019 |
| Prediction, Ranking and Mining Methods for Higher Educational Data A Elbadrawy | 2 | 2017 |
| TR 14-O16 A Elbadrawy, G Karypis | | 2014 |
| TR 14-O16 A Elbadrawy, G Karypis | | 2014 |
George KarypisProfessor, Department of Computer Science & Engineering, University of Minnesota在 umn.edu 的电子邮件经过验证
