Shaymaa E. Sorour

According to our database, Shaymaa E. Sorour authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Classification-driven intelligent system for automated evaluation of higher education exam paper quality.

Hosnia M. M. Ahmed, Shaymaa E. Sorour

Educ. Inf. Technol., October, 2024

Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques.

Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. AlBarrak, Abdulrahman Khalid Alnaim, Abeer A. Wafa, Engy A. El-Shafeiy

J. King Saud Univ. Comput. Inf. Sci., February, 2024

Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions.

Khalied M. AlBarrak, Shaymaa E. Sorour

Syst., 2024

A Deep Learning System for Detecting Cardiomegaly Disease Based on CXR Image.

Shaymaa E. Sorour, Abeer A. Wafa, Amr A. Abohany, Reda M. Hussien

Int. J. Intell. Syst., 2024

Integrating Innovation in Healthcare: The Evolution of "CURA's" AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring.

Mohammed Aljaafari, Shorouk E. El-Deep, Amr A. Abohany, Shaymaa E. Sorour

IEEE Access, 2024

2023

An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision.

Shaymaa E. Sorour, Amr A. Abohany, Mohamed S. Elredeny, Ahmed Sedik, Reda M. Hussien

IEEE Access, 2023

2022

An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks.

Shaymaa E. Sorour, Hanan E. Abdelkader, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany

J. King Saud Univ. Comput. Inf. Sci., 2022

An Efficient Data Mining Technique for Assessing Satisfaction Level With Online Learning for Higher Education Students During the COVID-19.

Hanan E. Abdelkader, Ahmed G. Gad, Amr A. Abohany, Shaymaa E. Sorour

IEEE Access, 2022

2017

Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

J. Educ. Technol. Soc., 2017

2016

Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining.

Shaymaa E. Sorour, Tsunenori Mine

Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

Understandable Prediction Models of Student Performance Using an Attribute Dictionary.

Shaymaa E. Sorour, Shaimaa Abd El Rahman, Samir A. Kahouf, Tsunenori Mine

Proceedings of the Advances in Web-Based Learning - ICWL 2016, 2016

Teacher interventions to enhance the quality of student comments and their effect on prediction performance.

Shaymaa E. Sorour, Shaymaa Abd El Rahman, Tsunenori Mine

Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

Exploring students' learning attributes in consecutive lessons to improve prediction performance.

Shaymaa E. Sorour, Tsunenori Mine

Proceedings of the Australasian Computer Science Week Multiconference, 2016

2015

A Predictive Model to Evaluate Student Performance.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

J. Inf. Process., 2015

Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

J. Inf. Process., 2015

Correlation of Topic Model and Student Grades Using Comment Data Mining.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Estimation of Student Performance by Considering Consecutive Lessons.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

Correlation of Grade Prediction Performance with Characteristics of Lesson Subject.

Shaymaa E. Sorour, Jingyi Luo, Kazumasa Goda, Tsunenori Mine

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons.

Jingyi Luo, Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Student Performance Estimation Based on Topic Models Considering a Range of Lessons.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Comments Data Mining for Evaluating Student's Performance.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014

Prediction of Students' Grades Based on Free-Style Comments Data.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the Advances in Web-Based Learning - ICWL 2014, 2014

Predicting students' grades based on free style comments data by artificial neural network.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the IEEE Frontiers in Education Conference, 2014

Efficiency of LSA and K-means in Predicting Students' Academic Performance Based on Their Comments Data.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the CSEDU 2014, 2014