| COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis U Naseem, I Razzak, M Khushi, PW Eklund, J Kim IEEE Transactions on Computational Social Systems 8 (4), 1003-1015, 2021 | 381 | 2021 |
| A Survey of Forex and Stock Price Prediction Using Deep Learning Z Hu, Y Zhao, M Khushi Applied System Innovation 4 (1), 9, 2021 | 357 | 2021 |
| A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data M Khushi, K Shaukat, TM Alam, IA Hameed, S Uddin, S Luo, X Yang, ... IEEE Access 9, 109960-109975, 2021 | 258 | 2021 |
| An Investigation of Credit Card Default Prediction in the Imbalanced Datasets TM Alam, K Shaukat, IA Hameed, S Luo, MU Sarwar, S Shabbir, J Li, ... IEEE Access 8, 201173-201198, 2020 | 176 | 2020 |
| Reinforcement Learning in Financial Markets TL Meng, M Khushi Data 4 (3), 2019 | 150 | 2019 |
| A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus H Lu, S Uddin, F Hajati, MA Moni, M Khushi Applied Intelligence 52 (3), 2411-2422, 2022 | 121 | 2022 |
| SMOTE-ENC: A Novel SMOTE-Based Method to Generate Synthetic Data for Nominal and Continuous Features M Mukherjee, M Khushi Applied System Innovation 4 (1), 18, 2021 | 121 | 2021 |
| How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management S Uddin, T Imam, M Khushi, A Khan, MA Moni Personality and individual differences 175, 110692, 2021 | 117 | 2021 |
| Corporate bankruptcy prediction: An approach towards better corporate world TM Alam, K Shaukat, M Mushtaq, Y Ali, M Khushi, S Luo, A Wahab The Computer Journal 64 (11), 1731-1746, 2021 | 88 | 2021 |
| Bioalbert: A simple and effective pre-trained language model for biomedical named entity recognition U Naseem, M Khushi, V Reddy, S Rajendran, I Razzak, J Kim 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 77 | 2021 |
| A Comparative Analysis of Active Learning for Biomedical Text Mining U Naseem, M Khushi, SK Khan, K Shaukat, MA Moni Applied System Innovation 4 (1), 23, 2021 | 74 | 2021 |
| Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification U Naseem, AG Dunn, J Kim, M Khushi Proceedings of the ACM Web Conference 2022, 2563-2572, 2022 | 73 | 2022 |
| Text Mining of Stocktwits Data for Predicting Stock Prices M Jaggi, P Mandal, S Narang, U Naseem, M Khushi Applied System Innovation 4 (1), 13, 2021 | 69 | 2021 |
| Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT U Naseem, AG Dunn, M Khushi, J Kim BMC bioinformatics 23 (1), 144, 2022 | 58 | 2022 |
| Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions M Rashed-Al-Mahfuz, MA Moni, P Lio, SMS Islam, S Berkovsky, M Khushi, ... Biomedical engineering letters 11 (2), 147-162, 2021 | 56 | 2021 |
| Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price Z Zeng, M Khushi 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 54 | 2020 |
| Predicting High-Risk Prostate Cancer Using Machine Learning Methods H Barlow, S Mao, M Khushi Data 4 (3), 129, 2019 | 49 | 2019 |
| Vision-language transformer for interpretable pathology visual question answering U Naseem, M Khushi, J Kim IEEE Journal of Biomedical and Health Informatics 27 (4), 1681-1690, 2022 | 46 | 2022 |
| Wavelet denoised-ResNet CNN and LightGBM method to predict forex rate of change Y Zhao, M Khushi 2020 International Conference on Data Mining Workshops (ICDMW), 385-391, 2020 | 42 | 2020 |
| Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating J Singh, M Khushi Applied System Innovation 4 (1), 17, 2021 | 40 | 2021 |