| Data imbalance in classification: Experimental evaluation F Thabtah, S Hammoud, F Kamalov, A Gonsalves Information Sciences 513, 429-441, 2020 | 564 | 2020 |
| A new computational intelligence approach to detect autistic features for autism screening F Thabtah, F Kamalov, K Rajab International journal of medical informatics 117, 112-124, 2018 | 190 | 2018 |
| New era of artificial intelligence in education: Towards a sustainable multifaceted revolution F Kamalov, D Santandreu Calonge, I Gurrib Sustainability 15 (16), 12451, 2023 | 144 | 2023 |
| Kernel density estimation based sampling for imbalanced class distribution F Kamalov Information Sciences 512, 1192-1201, 2020 | 110 | 2020 |
| Forecasting significant stock price changes using neural networks F Kamalov Neural Computing and Applications 32 (23), 17655-17667, 2020 | 99 | 2020 |
| Internet of medical things privacy and security: Challenges, solutions, and future trends from a new perspective F Kamalov, B Pourghebleh, M Gheisari, Y Liu, S Moussa Sustainability 15 (4), 3317, 2023 | 76 | 2023 |
| Machine learning based approach to exam cheating detection F Kamalov, H Sulieman, D Santandreu Calonge Plos one 16 (8), e0254340, 2021 | 74 | 2021 |
| Least Loss: A simplified filter method for feature selection F Thabtah, F Kamalov, S Hammoud, SR Shahamiri Information Sciences 534, 1-15, 2020 | 60 | 2020 |
| A feature selection method based on ranked vector scores of features for classification F Kamalov, F Thabtah Annals of Data Science 4, 483-502, 2017 | 55 | 2017 |
| A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning D Elreedy, AF Atiya, F Kamalov Machine Learning, 1-21, 2023 | 53 | 2023 |
| Gamma distribution-based sampling for imbalanced data F Kamalov, D Denisov Knowledge-Based Systems 207, 106368, 2020 | 52 | 2020 |
| Outlier detection in high dimensional data F Kamalov, HH Leung Journal of Information & Knowledge Management 19 (01), 2040013, 2020 | 52 | 2020 |
| Machine learning applications for COVID-19: a state-of-the-art review F Kamalov, AK Cherukuri, H Sulieman, F Thabtah, A Hossain Data science for genomics, 277-289, 2023 | 46 | 2023 |
| Financial Forecasting with Machine Learning: Price Vs Return F Kamalov, I Gurrib, K Rajab Journal of Computer Science 17 (3), 251-264, 2021 | 42 | 2021 |
| Stock price forecast with deep learning F Kamalov, L Smail, I Gurrib 2020 International Conference on Decision Aid Sciences and Application (DASA …, 2020 | 40 | 2020 |
| Predicting bitcoin price movements using sentiment analysis: a machine learning approach I Gurrib, F Kamalov Studies in Economics and Finance 39 (3), 347-364, 2022 | 39 | 2022 |
| The implementation of an adjusted relative strength index model in foreign currency and energy markets of emerging and developed economies I Gurrib, F Kamalov Macroeconomics and Finance in Emerging Market Economies, 1-19, 2019 | 35 | 2019 |
| Deep learning for Covid-19 forecasting: State-of-the-art review. F Kamalov, K Rajab, AK Cherukuri, A Elnagar, M Safaraliev Neurocomputing 511, 142-154, 2022 | 31 | 2022 |
| Forecasting COVID-19: vector autoregression-based model K Rajab, F Kamalov, AK Cherukuri Arabian journal for science and engineering, 1-10, 2022 | 30 | 2022 |
| Feature selection in imbalanced data F Kamalov, F Thabtah, HH Leung Annals of Data Science 10 (6), 1527-1541, 2023 | 29 | 2023 |
