Arabic aspect based sentiment analysis using bidirectional GRU based models MM Abdelgwad, THA Soliman, AI Taloba, MF Farghaly Journal of King Saud University - Computer and Information Sciences, 2021 | 101 | 2021 |
Exploring students learning behavior with an interactive etextbook in computer science courses E Fouh, DA Breakiron, S Hamouda, MF Farghally, CA Shaffer Computers in Human Behavior 41, 478-485, 2014 | 80 | 2014 |
Towards a concept inventory for algorithm analysis topics MF Farghally, KH Koh, JV Ernst, CA Shaffer Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science …, 2017 | 43 | 2017 |
Evaluating the effectiveness of algorithm analysis visualizations MF Farghally, KH Koh, H Shahin, CA Shaffer Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science …, 2017 | 29 | 2017 |
A new cascade-correlation growing deep learning neural network algorithm SAEM Mohamed, MH Mohamed, MF Farghally Algorithms 14 (5), 158, 2021 | 23 | 2021 |
On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection MH Soleimani-Babakamali, R Soleimani-Babakamali, R Sarlo, ... Mechanical Systems and Signal Processing 187, 109910, 2023 | 21 | 2023 |
Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis E Fouh, MF Farghally, S Hamouda, KH Koh, CA Shaffer 9th International Conference on Educational Data Mining, 2016 | 15 | 2016 |
Experience: Learner analytics data quality for an etextbook system KH Koh, E Fouh, MF Farghally, H Shahin, CA Shaffer Journal of Data and Information Quality (JDIQ) 9 (2), 1-10, 2018 | 10 | 2018 |
Automating Learner Feedback in an eTextbook for Data Structures and Algorithms Courses CAS E. Fouh, S. Hamouda, M.F. Farghally In Challenges in ICT Education: Formative Assessment, Learning Data …, 2016 | 8* | 2016 |
The online transition of two CS courses in response to COVID-19 MF Farghally, M Mohammed, H Mahmoud, M Ellis, D Haqq, M Domino, ... Proceedings of the 2021 ACM SIGCSE Technical Symposium on Computer Science …, 2021 | 5 | 2021 |
Considering computing education in undergraduate computer science programmes Q Cutts, M Kallia, R Anderson, T Crick, M Devlin, M Farghally, C Mirolo, ... Proceedings of the 2023 Conference on Innovation and Technology in Computer …, 2023 | 4 | 2023 |
Visualizing Algorithm Analysis Topics MF Farghally Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016 | 4 | 2016 |
Stacked-CNN-BiLSTM-COVID: An effective stacked ensemble deep learning framework for sentiment analysis of arabic COVID-19 tweets MFF Naglaa Abdelhady, Taysir Hassan A. Soliman Journal of Cloud Computing 13, 2024 | 3 | 2024 |
Arguments for and Approaches to Computing Education in Undergraduate Computer Science Programmes Q Cutts, M Kallia, R Anderson, T Crick, M Devlin, M Farghally, C Mirolo, ... Proceedings of the 2023 Working Group Reports on Innovation and Technology …, 2023 | 1 | 2023 |
Developing Analytical Tools for Arabic Sentiment Analysis of COVID-19 Data N Abdelhady, IE Elsemman, MF Farghally, THA Soliman Algorithms 16 (7), 318, 2023 | 1 | 2023 |
Student perceptions of the complete online transition of two CS courses in response to the COVID-19 pandemic MF Farghally, M Mohammed, H Mahmoud, M Ellis, D Haqq, M Domino, ... American Society For Engineering Education (ASEE) annual conference and …, 2021 | 1 | 2021 |
Experiences of Instructors Who Teach Capstone Courses in Computing Fields S Hooshangi, A Shakil, S Dasgupta, KC Davis, M Farghally, KA Fitzpatrick, ... Proceedings of the 2024 on Innovation and Technology in Computer Science …, 2024 | | 2024 |
Towards Establishing a Training Program to Support Future CS Teaching-focused Faculty M Farghally, M Seyam, CA Shaffer Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
Creating Session Data from eTextbook Event Streams S Heo, MF Farghally, M Mohammed, CA Shaffer Fifth Workshop on Intelligent Textbooks (iTextbooks), Tokyo, Japan, 2023 | | 2023 |
Covid-19 Detection Based on Cascade-Correlation Growing Deep Learning Neural Network Algorithm. SAEM Mohamed, MH Mohamed, MF Farghally International Journal for Computers & Their Applications 29 (3), 2022 | | 2022 |