Shaymaa E. Sorour

Orcid: 0000-0003-0805-2705

According to our database1, Shaymaa E. Sorour authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques.
J. King Saud Univ. Comput. Inf. Sci., February, 2024

2023
An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision.
IEEE Access, 2023

2022
An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks.
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.
IEEE Access, 2022

2017
Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons.
J. Educ. Technol. Soc., 2017

2016
Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

Understandable Prediction Models of Student Performance Using an Attribute Dictionary.
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.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

Exploring students' learning attributes in consecutive lessons to improve prediction performance.
Proceedings of the Australasian Computer Science Week Multiconference, 2016

2015
A Predictive Model to Evaluate Student Performance.
J. Inf. Process., 2015

Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques.
J. Inf. Process., 2015

Correlation of Topic Model and Student Grades Using Comment Data Mining.
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Estimation of Student Performance by Considering Consecutive Lessons.
Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

Correlation of Grade Prediction Performance with Characteristics of Lesson Subject.
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.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Student Performance Estimation Based on Topic Models Considering a Range of Lessons.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014
Comments Data Mining for Evaluating Student's Performance.
Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014

Prediction of Students' Grades Based on Free-Style Comments Data.
Proceedings of the Advances in Web-Based Learning - ICWL 2014, 2014

Predicting students' grades based on free style comments data by artificial neural network.
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.
Proceedings of the CSEDU 2014, 2014


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