| Efficient email classification approach based on semantic methods EM Bahgat, S Rady, W Gad, IF Moawad Ain Shams Engineering Journal 9 (4), 3259-3269, 2018 | 71 | 2018 |
| A hybrid model to predict best answers in question answering communities D Elalfy, W Gad, R Ismail Egyptian informatics journal 19 (1), 21-31, 2018 | 51 | 2018 |
| An e-mail filtering approach using classification techniques EM Bahgat, S Rady, W Gad The 1st International Conference on Advanced Intelligent System and …, 2016 | 32 | 2016 |
| Classifying COVID-19 based on amino acids encoding with machine learning algorithms W Alkady, K ElBahnasy, V Leiva, W Gad Chemometrics and Intelligent Laboratory Systems 224, 104535, 2022 | 31 | 2022 |
| New semantic similarity based model for text clustering using extended gloss overlaps WK Gad, MS Kamel Machine Learning and Data Mining in Pattern Recognition: 6th International …, 2009 | 27 | 2009 |
| Enhancing text clustering performance using semantic similarity WK Gad, MS Kamel Enterprise Information Systems: 11th International Conference, ICEIS 2009 …, 2009 | 26 | 2009 |
| Clustering For Network Planning L Fattouh, O Karam, M El Sharkawy, W Khaled Wseas Transactions on Computers, 2003 | 22 | 2003 |
| Incremental clustering algorithm based on phrase-semantic similarity histogram WK Gad, MS Kamel 2010 International Conference on Machine Learning and Cybernetics 4, 2088-2093, 2010 | 20 | 2010 |
| Pustackngly: positive-unlabeled and stacking learning for n-linked glycosylation site prediction A Alkuhlani, W Gad, M Roushdy, ABM Salem IEEE Access 10, 12702-12713, 2022 | 17 | 2022 |
| A unified access to heterogeneous big data through ontology-based semantic integration N Fathy, W Gad, N Badr 2019 Ninth International Conference on Intelligent Computing and Information …, 2019 | 16 | 2019 |
| Email filtering based on supervised learning and mutual information feature selection W Gad, S Rady 2015 Tenth International Conference on Computer Engineering & Systems (ICCES …, 2015 | 16 | 2015 |
| DLBT: Deep Learning-Based Transformer to Generate Pseudo-Code from Source Code. W Gad, A Alokla, W Nazih, M Aref, A Salem Computers, Materials & Continua 70 (2), 2022 | 15 | 2022 |
| Retrieval-based transformer pseudocode generation A Alokla, W Gad, W Nazih, M Aref, AB Salem Mathematics 10 (4), 604, 2022 | 14 | 2022 |
| Dynamic system for prioritizing and accelerating inspections to support capital renewal of buildings T Hegazy, W Gad Journal of Computing in Civil Engineering 29 (5), 04014058, 2015 | 14 | 2015 |
| ProGOMap: automatic generation of mappings from property graphs to ontologies N Fathy, W Gad, N Badr, M Hashem IEEE Access 9, 113100-113116, 2021 | 11 | 2021 |
| PTG-PLM: Predicting post-translational glycosylation and glycation sites using protein language models and deep learning A Alkuhlani, W Gad, M Roushdy, MG Voskoglou, AM Salem Axioms 11 (9), 469, 2022 | 10 | 2022 |
| A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes E Ismail, W Gad, M Hashem BMC bioinformatics 24 (1), 379, 2023 | 9 | 2023 |
| Pseudocode generation from source code using the bart model A Alokla, W Gad, W Nazih, M Aref, A Salem Mathematics 10 (21), 3967, 2022 | 9 | 2022 |
| Pre-HLSA: Predicting home location for Twitter users based on sentimental analysis A Mostafa, W Gad, T Abdelkader, N Badr Ain Shams Engineering Journal 13 (1), 101501, 2022 | 9 | 2022 |
| Intelligent techniques analysis for glycosylation site prediction A Alkuhlani, W Gad, M Roushdy, ABM Salem Current Bioinformatics 16 (6), 774-788, 2021 | 9 | 2021 |
