| Handling missing data through deep convolutional neural network H Khan, X Wang, H Liu Information Sciences 595, 278-293, 2022 | 52 | 2022 |
| A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment MT Rasheed, D Shi, H Khan Signal Processing 204, 108821, 2023 | 51 | 2023 |
| Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering H Khan, X Wang, H Liu Computers & Electrical Engineering 93, 107230, 2021 | 46 | 2021 |
| An empirical study on retinex methods for low-light image enhancement MT Rasheed, G Guo, D Shi, H Khan, X Cheng Remote Sensing 14 (18), 4608, 2022 | 28 | 2022 |
| A study on relationship between prediction uncertainty and robustness to noisy data H Khan, X Wang, H Liu International Journal of Systems Science 54 (6), 1243-1258, 2023 | 14 | 2023 |
| Missing label imputation through inception-based semi-supervised ensemble learning H Khan, H Liu, C Liu Advances in Computational Intelligence 2 (1), 10, 2022 | 14 | 2022 |
| Consumer-driven demand-side management using K-mean clustering and integer programming in standalone renewable grid MA Ayub, H Khan, J Peng, Y Liu Energies 15 (3), 1006, 2022 | 13 | 2022 |
| High-order polynomial interpolation with CNN: A robust approach for missing data imputation H Khan, MT Rasheed, H Liu, S Zhang Computers and Electrical Engineering 119, 109524, 2024 | 6 | 2024 |
| An empirical study of deep learning-based feature extractor models for imbalanced image classification A Khan, MT Rasheed, H Khan Advances in Computational Intelligence 3 (6), 20, 2023 | 6 | 2023 |
| Empirical study of outlier impact in classification context H Khan, MT Rasheed, S Zhang, X Wang, H Liu Expert Systems with Applications 256, 124953, 2024 | | 2024 |
| An Analysis of Feature Extraction in Image Classification: A Comprehensive Study A Khan, MT Rasheed, H Khan Computer Science and Technology 2 (4), 154, 2023 | | 2023 |