| An efficient data mining technique for assessing satisfaction level with online learning for higher education students during the COVID-19 HE Abdelkader, AG Gad, AA Abohany, SE Sorour IEEE Access 10, 6286-6303, 2022 | 63 | 2022 |
| A predictive model to evaluate student performance SE Sorour, T Mine, K Goda, S Hirokawa Journal of Information Processing 23 (2), 192-201, 2015 | 63 | 2015 |
| Predicting Student Grade Based on Free-Style Comments Using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons. J Luo, SE Sorour, K Goda, T Mine International Educational Data Mining Society, 2015 | 49 | 2015 |
| Comment data mining to estimate student performance considering consecutive lessons SE Sorour, K Goda, T Mine Journal of Educational Technology & Society 20 (1), 73-86, 2017 | 47 | 2017 |
| Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques SE Sorour, AA Abd El-Mageed, KM Albarrak, AK Alnaim, AA Wafa, ... Journal of King Saud University-Computer and Information Sciences, 101940, 2024 | 41 | 2024 |
| Predicting students' grades based on free style comments data by artificial neural network SE Sorour, T Mine, K Goda, S Hirokawa 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, 1-9, 2014 | 37 | 2014 |
| Advanced prediction of performance of a student in an university using machine learning techniques VU Kumar, A Krishna, P Neelakanteswara, CZ Basha 2020 international conference on electronics and sustainable communication …, 2020 | 35 | 2020 |
| Comments data mining for evaluating student's performance SE Sorour, T Mine, K Godaz, S Hirokawax 2014 IIAI 3rd International Conference on Advanced Applied Informatics, 25-30, 2014 | 22 | 2014 |
| Correlation of topic model and student grades using comment data mining S Sorour, K Goda, T Mine Proceedings of the 46th ACM technical symposium on computer science …, 2015 | 21 | 2015 |
| Estimation of student performance by considering consecutive lessons SE Sorour, K Goda, T Mine 2015 IIAI 4th International Congress on Advanced Applied Informatics, 121-126, 2015 | 20 | 2015 |
| Building an interpretable model of predicting student performance using comment data mining SE Sorour, T Mine 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI …, 2016 | 19 | 2016 |
| Study on the influencing factors of the flexibility of university IT management in Education 4.0 Wasilah, LE Nugroho, PI Santosa, SE Sorour International Journal of Innovation and Learning 30 (2), 132-153, 2021 | 18 | 2021 |
| Evaluation of effectiveness of time-series comments by using machine learning techniques SE Sorour, K Goda, T Mine Journal of information processing 23 (6), 784-794, 2015 | 18 | 2015 |
| A Hybrid Virtual Cloud Learning Model During the COVID-19 Pandemic HE Sorour, shaymaa E., Tamer M. Kamel Computers, Materials and Continua, 2021 | 17 | 2021 |
| AFND: Arabic fake news detection with an ensemble deep CNN-LSTM model SE Sorour, HE Abdelkader J. Theor. Appl. Inf. Technol 100 (14), 5072-5086, 2022 | 16 | 2022 |
| Correlation of grade prediction performance with characteristics of lesson subject SE Sorour, J Luo, K Goda, T Mine 2015 IEEE 15th International Conference on Advanced Learning Technologies …, 2015 | 13 | 2015 |
| Efficiency of LSA and K-means in predicting students' Academic performance based on their comments data SE Sorour, T Mine, K Goda, S Hirokawa Proceedings of the 6th international conference on computer supported …, 2014 | 13 | 2014 |
| Predict student performance by utilizing data mining technique and support vector machine A Kadambande, S Thakur, A Mohol, AM Ingole International Research Journal of Engineering and Technology 4, 2818-2821, 2017 | 10 | 2017 |
| Student performance estimation based on topic models considering a range of lessons SE Sorour, K Goda, T Mine Artificial Intelligence in Education: 17th International Conference, AIED …, 2015 | 10 | 2015 |
| Teacher interventions to enhance the quality of student comments and their effect on prediction performance SE Sorour, S Abd El Rahman, T Mine 2016 IEEE Frontiers in Education Conference (FIE), 1-9, 2016 | 9 | 2016 |
Tsunenori MineKyushu University在 ait.kyushu-u.ac.jp 的电子邮件经过验证
