Ernest Mwebaze
Affiliations: | 2009-2014 | Computer Science | University of Groningen, Groningen, Netherlands |
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Parents
Sign in to add mentor| John Quinn | grad student | Makerere University, Kampala, Uganda | |
| Michael Biehl | grad student | 2009-2014 | RUG |
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| Owomugisha G, Nakatumba-Nabende J, Dhikusooka JJ, et al. (2023) A labeled spectral dataset with cassava disease occurrences using virus titre determination protocol. Data in Brief. 49: 109387 |
| Owomugisha G, Melchert F, Mwebaze E, et al. (2021) Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases Ieee Access. 9: 83355-83363 |
| Nakatumba-Nabende J, Akera B, Tusubira JF, et al. (2020) A dataset of necrotized cassava root cross-section images. Data in Brief. 32: 106170 |
| Owomugisha G, Mugagga PKB, Melchert F, et al. (2020) A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. The Compass. 331-332 |
| Magumba MA, Nabende P, Mwebaze E. (2018) Design Choices for Automated Disease Surveillance in the Social Web. Online Journal of Public Health Informatics. 10: e214 |
| Magumba MA, Nabende P, Mwebaze E. (2018) Ontology boosted deep learning for disease name extraction from Twitter messages Journal of Big Data. 5: 31 |
| Mwebaze E, Biehl M. (2016) Prototype-based classification for image analysis and its application to crop disease diagnosis Advances in Intelligent Systems and Computing. 428: 329-339 |
| Mwebaze E, Schneider P, Schleif FM, et al. (2011) Divergence-based classification in learning vector quantization Neurocomputing. 74: 1429-1435 |