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 (CSEDU (1), 2014)

Predicting students' grades based on free style comments data by artificial neural network. - Shaymaa E. Sorour; Tsunenori Mine; Kazumasa Goda; Sachio Hirokawa (FIE, 2014)

Prediction of Students' Grades Based on Free-Style Comments Data. - Shaymaa E. Sorour; Tsunenori Mine; Kazumasa Goda; Sachio Hirokawa (ICWL, 2014)

Comments Data Mining for Evaluating Student's Performance. - Shaymaa E. Sorour; Tsunenori Mine; Kazumasa Goda; Sachio Hirokawa (IIAI-AAI, 2014)

Student Performance Estimation Based on Topic Models Considering a Range of Lessons. - Shaymaa E. Sorour; Kazumasa Goda; Tsunenori Mine (AIED, 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 (EDM, 2015)

Correlation of Grade Prediction Performance with Characteristics of Lesson Subject. - Shaymaa E. Sorour; Jingyi Luo; Kazumasa Goda; Tsunenori Mine (ICALT, 2015)

Estimation of Student Performance by Considering Consecutive Lessons. - Shaymaa E. Sorour; Kazumasa Goda; Tsunenori Mine (IIAI-AAI, 2015)

Correlation of Topic Model and Student Grades Using Comment Data Mining. - Shaymaa E. Sorour; Kazumasa Goda; Tsunenori Mine (SIGCSE, 2015)

Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques. - Shaymaa E. Sorour; Kazumasa Goda; Tsunenori Mine (J. Inf. Process., 2015)

A Predictive Model to Evaluate Student Performance. - Shaymaa E. Sorour; Tsunenori Mine; Kazumasa Goda; Sachio Hirokawa (J. Inf. Process., 2015)

Exploring students' learning attributes in consecutive lessons to improve prediction performance. - Shaymaa E. Sorour; Tsunenori Mine (ACSW, 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 (FIE, 2016)

Understandable Prediction Models of Student Performance Using an Attribute Dictionary. - Shaymaa E. Sorour; Shaimaa Abd El Rahman; Samir A. Kahouf; Tsunenori Mine (ICWL, 2016)

Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining. - Shaymaa E. Sorour; Tsunenori Mine (IIAI-AAI, 2016)

Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons. - Shaymaa E. Sorour; Kazumasa Goda; Tsunenori Mine (J. Educ. Technol. Soc., 2017)

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)

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 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)

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)

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)

A big data analysis algorithm for massive sensor medical images. - Sarah A. Alzakari; Nuha Alruwais; Shaymaa E. Sorour; Shouki A. Ebad; Asma Abbas Hassan Elnour; Ahmed Sayed (PeerJ Comput. Sci., 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)

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., 2024)

Classification-driven intelligent system for automated evaluation of higher education exam paper quality. - Hosnia M. M. Ahmed; Shaymaa E. Sorour (Educ. Inf. Technol., 2024)