| Fast algorithm selection using learning curves JN van Rijn, SM Abdulrahman, P Brazdil, J Vanschoren Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015 | 104 | 2015 |
| Speeding up algorithm selection using average ranking and active testing by introducing runtime SM Abdulrahman, P Brazdil, JN van Rijn, J Vanschoren Machine learning 107, 79-108, 2018 | 82 | 2018 |
| Measures for combining accuracy and time for meta-learning SM Abdulrhaman, P Brazdil | 28 | 2014 |
| Cloud computing based e-Learning: Opportunities and challenges for tertiary institutions in Nigeria AR Muhammad, SM Abdulrahman Int. J. of e-Edu., e-Bus., e-Manage. and e-Learning, 3.144-152, 2015 | 20 | 2015 |
| Algorithm selection via meta-learning and sample-based active testing SM Abdulrhaman, P Brazdil, JN Van Rijn, J Vanschoren | 20 | 2015 |
| Simplifying the algorithm selection using reduction of rankings of classification algorithms SM Abdulrahman, P Brazdil, WMNW Zainon, A Adamu Proceedings of the 2019 8th International Conference on Software and …, 2019 | 14 | 2019 |
| Combining feature and algorithm hyperparameter selection using some metalearning methods M Cachada, SM Abdulrhaman, P Brazdil | 13 | 2017 |
| Spectrum-based fault localization techniques application on multiple-fault programs: A review A Zakari, S Abdullahi, NM Shagari, AB Tambawal, NM Shanono, ... Global Journal of Computer Science and Technology 20, 41-48, 2020 | 9 | 2020 |
| An Overview of the Algorithm Selection Problem SM Abdulrahman, A Adamu, YA Ibrahim, AR Muhammad International Journal of Computer (IJC) 26 (1), 71-98, 2017 | 7 | 2017 |
| Empirical investigation of UML models matching through different weight calibration A Adamu, WMNW Zainon, SM Abdulrahman Proceedings of the 2019 8th International Conference on Software and …, 2019 | 4 | 2019 |
| Improving Algorithm Selection Methods using Meta-Learning by Considering Accuracy and Run Time SM Abdulrahman PQDT-Global, 2017 | 4 | 2017 |
| Model matching: Prediction of the influence of uml class diagram parameters during similarity assessment using artificial neural network A Adamu, SM Abdulrahman, WMNW Zainoon, A Zakari Deep Learning Approaches for Spoken and Natural Language Processing, 97-109, 2021 | 3 | 2021 |
| Autonomic cloud computing: A review Y Ibrahim, A Adamu, S Abdulrahman, A Rilwan International Journal of Computer 26, 99-104, 2017 | 3 | 2017 |
| Impact of feature selection on average ranking method via metalearning SM Abdulrahman, MV Cachada, P Brazdil VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on …, 2018 | 2 | 2018 |
| Effect of incomplete meta-dataset on average ranking method SM Abdulrahman, P Brazdil Workshop on Automatic Machine Learning, 1-10, 2016 | 2 | 2016 |
| Peer-to-peer Approach for Distributed Privacy-preserving Deep Learning MA Sani, AA Lawan, SM Abdulrahman International Journal of Computer (IJC) 40 (1), 91-108, 2021 | 1 | 2021 |
| Chanllenges Faced by Software Designers in Prividing Usable and Intuitive Interfaces AA Y.A. Ibrahim, A. Rilwan, S.M. Abdulrahman Mambilla: Journal of Sciences and Environment 4 (1), 70-74, 2017 | | 2017 |
| Text Classification with Support Vector Machines, K -Nearest Neighbor and Decision Tree Salisu Mamman Abdulrahman, Yazid Ado Ibrahim, Alhassan Adamu Mambilla: Journal of Sciences and Environment 4 (1), 75-85, 2017 | | 2017 |
| On the Evaluation of Algorithm Selection Problems SM Abdulrahman, P Brazdil, J Vanschoren | | |
Joaquin VanschorenEindhoven University of TechnologyDirección de correo verificada de tue.nl
