| Data augmentation in microscopic images for material data mining B Ma, X Wei, C Liu, X Ban, H Huang, H Wang, W Xue, S Wu, M Gao, ... npj Computational Materials 6 (1), 125, 2020 | 75 | 2020 |
| DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection A Khan, B Hassan, S Khan, R Ahmed, A Abuassba Mobile Information Systems 2022, 1-14, 2022 | 66 | 2022 |
| Improving classification performance through an advanced ensemble based heterogeneous extreme learning machines AOM Abuassba, D Zhang, X Luo, A Shaheryar, H Ali Computational intelligence and neuroscience 2017, 2017 | 51 | 2017 |
| Access control and authorization in smart homes: A survey ZN Mohammad, F Farha, AOM Abuassba, S Yang, F Zhou Tsinghua Science and Technology 26 (6), 906-917, 2021 | 40 | 2021 |
| Intelligent cluster routing scheme for flying ad hoc networks A Khan, S Khan, AS Fazal, Z Zhang, AO Abuassba Science China Information Sciences 64 (8), 182305, 2021 | 32 | 2021 |
| IoT-CCAC: a blockchain-based consortium capability access control approach for IoT MA Bouras, B Xia, AO Abuassba, H Ning, Q Lu PeerJ Computer Science 7, e455, 2021 | 23 | 2021 |
| Recent research on ai in games B Xia, X Ye, AOM Abuassba 2020 International Wireless Communications and Mobile Computing (IWCMC), 505-510, 2020 | 13 | 2020 |
| Seizure prediction using bidirectional LSTM H Ali, F Karim, JJ Qureshi, AO Abuassba, MF Bulbul Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health …, 2019 | 11 | 2019 |
| Classification with ensembles and case study on functional magnetic resonance imaging AOM Abuassba, Z Dezheng, H Ali, F Zhang, K Ali Digital Communications and Networks 8 (1), 80-86, 2022 | 9 | 2022 |
| A heterogeneous ensemble of extreme learning machines with correntropy and negative correlation AOM Abuassba, Y Zhang, X Luo, D Zhang, W Aziguli Tsinghua Science and Technology 22 (6), 691-701, 2017 | 9 | 2017 |
| Recent Research on AI in Games. In 2020 International Wireless Communications and Mobile Computing (IWCMC)(pp. 505-510) B Xia, X Ye, AO Abuassba IEEE, 2020 | 5 | 2020 |
| Semi-supervised multi-kernel extreme learning machine AOM Abuassba, Z Dezheng, Z Mahmood Procedia computer science 129, 305-311, 2018 | 5 | 2018 |
| A heterogeneous AdaBoost ensemble based extreme learning machines for imbalanced data AO Abuassba, D Zhang, X Luo Research Anthology on Machine Learning Techniques, Methods, and Applications …, 2022 | 3 | 2022 |
| Selection of optimal denoising-based regularization hyper-parameters for performance improvement in a sensor validation model A Shaheryar, XC Yin, HW Hao, Z Mahmood, AOM Abuassba Artificial Intelligence Review 50, 341-382, 2018 | 3 | 2018 |
| Ensemble Learning via Extreme Learning Machines for Imbalanced Data X Abuassba, A. O., Zhang, D. O., & Luo In Innovations, Algorithms, and Applications in Cognitive Informatics and …, 2020 | 1 | 2020 |
