| iCassava 2019Fine-Grained Visual Categorization Challenge E Mwebaze, T Gebru, A Frome, S Nsumba, J Tusubira arXiv preprint arXiv:1908.02900, 2019 | 83 | 2019 |
| A new approach for microscopic diagnosis of malaria parasites in thick blood smears using pre-trained deep learning models R Nakasi, E Mwebaze, A Zawedde, J Tusubira, B Akera, G Maiga SN Applied Sciences 2 (7), 1-7, 2020 | 51 | 2020 |
| A Web-Based Intelligence Platform for Diagnosis of Malaria in Thick Blood Smear Images: A Case for a Developing Country R Nakasi, J Francis Tusubira, A Zawedde, A Mansourian, E Mwebaze Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 17 | 2020 |
| Improving In-Field Cassava Whitefly Pest Surveillance With Machine Learning J Francis Tusubira, S Nsumba, F Ninsiima, B Akera, G Acellam, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Scoring Root Necrosis in Cassava Using Semantic Segmentation JF Tusubira, B Akera, S Nsumba, J Nakatumba-Nabende, E Mwebaze arXiv preprint arXiv:2005.03367, 2020 | 12 | 2020 |
| A dataset of necrotized cassava root cross-section images J Nakatumba-Nabende, B Akera, JF Tusubira, S Nsumba, E Mwebaze Data in brief 32, 106170, 2020 | 8 | 2020 |
| An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria Detection R Nakasi, E Mwebaze, A Zawedde, JT Francis, G Maiga Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable …, 2020 | 1 | 2020 |
