| Experimental Analysis of Hyper-parameters for Deep Learning-based Churn Prediction in the Banking Sector E Domingos, B Ojeme, O Daramola computation 9 (3), 19, 2021 | 54 | 2021 |
| Selecting learning algorithms for simultaneous identification of depression and comorbid disorders B Ojeme, A Mbogho Procedia Computer Science 96, 1294-1303, 2016 | 27 | 2016 |
| Application of local binary patterns and cascade AdaBoost classifier for mice behavioural patterns detection and analysis T Agbele, B Ojeme, R Jiang Procedia Computer Science 159, 1375-1386, 2019 | 10 | 2019 |
| Predictive strength of Bayesian networks for diagnosis of depressive disorders B Ojeme, A Mbogho Intelligent Decision Technologies 2016: Proceedings of the 8th KES …, 2016 | 8 | 2016 |
| Probabilistic expert systems for reasoning in clinical depressive disorders B Ojeme, A Mbogho, T Meyer 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 4 | 2016 |
| Fully Automated Methods for the Detection and Segmentation of Mitochondria in Microscopy Images B Ojeme, F Quinn, R Karls, S Quinn International Conference on Computer Vision 17 (2), 42-47, 2023 | 1 | 2023 |
| Adoption of ICT4D frameworks to support screening for depression in Nigerian universities BO Ojeme | 1 | 2018 |
Olawande DaramolaUniversity of Pretoria在 up.ac.za 的电子邮件经过验证
