A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects ID Mienye, Y Sun IEEE Access 10, 99129 - 99149, 2022 | 604 | 2022 |
An improved ensemble learning approach for the prediction of heart disease risk ID Mienye, Y Sun, Z Wang Informatics in Medicine Unlocked 20, 100402, 2020 | 245 | 2020 |
A neural network ensemble with feature engineering for improved credit card fraud detection E Esenogho, ID Mienye, TG Swart, K Aruleba, G Obaido IEEE access 10, 16400-16407, 2022 | 223 | 2022 |
Prediction performance of improved decision tree-based algorithms: a review ID Mienye, Y Sun, Z Wang Procedia Manufacturing 35, 698-703, 2019 | 213 | 2019 |
Performance analysis of cost-sensitive learning methods with application to imbalanced medical data ID Mienye, Y Sun Informatics in Medicine Unlocked 25, 100690, 2021 | 149 | 2021 |
Improved sparse autoencoder based artificial neural network approach for prediction of heart disease ID Mienye, Y Sun, Z Wang Informatics in Medicine Unlocked 18, 100307, 2020 | 127 | 2020 |
A deep learning ensemble with data resampling for credit card fraud detection ID Mienye, Y Sun Ieee Access 11, 30628-30638, 2023 | 93 | 2023 |
Recurrent neural networks: A comprehensive review of architectures, variants, and applications ID Mienye, TG Swart, G Obaido Information 15 (9), 517, 2024 | 82 | 2024 |
Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder ID Mienye, Y Sun Electronics 10 (19), 2347, 2021 | 75 | 2021 |
A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease SA Ebiaredoh-Mienye, TG Swart, E Esenogho, ID Mienye Bioengineering 9 (8), 350, 2022 | 73 | 2022 |
An interpretable machine learning approach for hepatitis b diagnosis G Obaido, B Ogbuokiri, TG Swart, N Ayawei, SM Kasongo, K Aruleba, ... Applied sciences 12 (21), 11127, 2022 | 57 | 2022 |
A survey of decision trees: Concepts, algorithms, and applications ID Mienye, N Jere IEEE access, 2024 | 49 | 2024 |
COVID-19 diagnosis: a review of rapid antigen, RT-PCR and artificial intelligence methods RT Aruleba, TA Adekiya, N Ayawei, G Obaido, K Aruleba, ID Mienye, ... Bioengineering 9 (4), 153, 2022 | 48 | 2022 |
A machine learning method with hybrid feature selection for improved credit card fraud detection ID Mienye, Y Sun Applied Sciences 13 (12), 7254, 2023 | 38 | 2023 |
Deep learning for credit card fraud detection: A review of algorithms, challenges, and solutions ID Mienye, N Jere IEEE Access, 2024 | 34 | 2024 |
Improved predictive sparse decomposition method with DenseNet for prediction of lung cancer ID Mienye, Y Sun, Z Wang International Journal of Computing 19 (4), 533-541, 2020 | 33 | 2020 |
Sparse noise minimization in image classification using Genetic Algorithm and DenseNet ID Mienye, PK Ainah, ID Emmanuel, E Esenogho 2021 Conference on Information Communications Technology and Society (ICTAS …, 2021 | 28 | 2021 |
Optimized ensemble learning approach with explainable AI for improved heart disease prediction ID Mienye, N Jere Information 15 (7), 394, 2024 | 25 | 2024 |
Enhanced prediction of chronic kidney disease using feature selection and boosted classifiers ID Mienye, G Obaido, K Aruleba, OA Dada International conference on intelligent systems design and applications, 527-537, 2021 | 25 | 2021 |
Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects G Obaido, ID Mienye, OF Egbelowo, ID Emmanuel, A Ogunleye, ... Machine Learning with Applications 17, 100576, 2024 | 24 | 2024 |