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 | 313 | 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 | 263 | 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 | 164 | 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 | 135 | 2020 |
Reinforcement Learning in Financial Markets TL Meng, M Khushi Data 4 (3), 2019 | 124 | 2019 |
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 | 110 | 2021 |
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 | 93 | 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 | 84 | 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 | 66 | 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 | 65 | 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 | 62 | 2021 |
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 | 60 | 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 | 45 | 2022 |
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 | 44 | 2022 |
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 | 44 | 2020 |
Predicting High-Risk Prostate Cancer Using Machine Learning Methods H Barlow, S Mao, M Khushi Data 4 (3), 129, 2019 | 44 | 2019 |
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 | 41 | 2021 |
Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating J Singh, M Khushi Applied System Innovation 4 (1), 17, 2021 | 37 | 2021 |
Event-driven LSTM for forex price prediction L Qi, M Khushi, J Poon 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020 | 35 | 2020 |
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 | 33 | 2020 |