| Modeling of groundwater quality index by using artificial intelligence algorithms in northern Khartoum State, Sudan MAA Mohammed, NAA Khleel, NP Szabó, P Szűcs Modeling Earth Systems and Environment 9 (2), 2501-2516, 2023 | 34 | 2023 |
| A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method NAA Khleel, K Nehéz Journal of Intelligent Information Systems, 1-35, 2023 | 31 | 2023 |
| Comprehensive Study on Machine Learning Techniques for Software Bug Prediction NAA Khleel, K Nehéz International Journal of Advanced Computer Science and Applications 12 (8 …, 2021 | 19 | 2021 |
| Software defect prediction using a bidirectional LSTM network combined with oversampling techniques NAA Khleel, K Nehéz Cluster Computing 27 (3), 3615-3638, 2024 | 18 | 2024 |
| Deep convolutional neural network model for bad code smells detection based on oversampling method NAA Khleel, K Nehéz Indonesian Journal of Electrical Engineering and Computer Science 26 (3 …, 2022 | 16 | 2022 |
| Detection of code smells using machine learning techniques combined with data-balancing methods NAA Khleel, K Nehéz International Journal of Advances in Intelligent Informatics 9 (3), 402-417, 2023 | 10 | 2023 |
| Comparison of version control system tools NAA Khleel, K Nehéz Multidiszciplinaris Tudomanyok 10 (3), 61-69, 2020 | 6 | 2020 |
| Tools, processes and factors influencing of code review NAA Khleel, N Károly Multidiszciplináris Tudományok 10 (3), 277-284, 2020 | 5 | 2020 |
| A new approach to software defect prediction based on convolutional neural network and bidirectional long short-term memory K Nehéz, NAA Khleel Production Systems and Information Engineering 10 (3), 1-18, 2022 | 4 | 2022 |
| Improving the accuracy of recurrent neural networks models in predicting software bug based on undersampling methods NAA Khleel, K Nehéz Indonesian Journal of Electrical Engineering and Computer Science 32 (1), 478, 2023 | 3 | 2023 |
| Mining Software Repository: an Overview NAA Khleel, K Nehéz Doktoranduszok Fóruma, 108, 2020 | 3 | 2020 |
| Improving accuracy of code smells detection using machine learning with data balancing techniques NAA Khleel, K Nehéz The Journal of Supercomputing, 1-46, 2024 | 2 | 2024 |
| Merging problems in modern version control systems KNA Adam, N Károly Multidiszciplináris Tudományok 10 (3), 365-376, 2020 | 2 | 2020 |
| Ensemble-Based Machine Learning Algorithms Combined with Near Miss Method for Software Bug Prediction NAA Khleel, K Nehéz, M Fadulalla, A Hisaen International Journal of Networked and Distributed Computing 13 (1), 11, 2025 | | 2025 |
| Optimizing LSTM for Code Smell Detection: The Role of Data Balancing. NA Adam Khleel, K Nehéz Infocommunications Journal 16 (3), 2024 | | 2024 |
| FACULTY OF MECHANICAL ENGINEERING AND INFORMATICS NAA Khleel, J SZIGETI, K Nehéz The Public 5, 1, 2023 | | 2023 |
| Data balancing methods in ML-based software bug prediction NAA Khleel, K Nehéz Doktoranduszok Fóruma, 59, 0 | | |
| Overview of modern software bug prediction approaches NAA Khleel, K Nehéz Doktoranduszok Fóruma, 55, 0 | | |
Károly NehézHead of Department, Associate Professor, University of Miskolc, HungaryVerified email at uni-miskolc.hu
