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Ernest Tonny Mwebaze
Ernest Tonny Mwebaze
Research Scientist
Bestätigte E-Mail-Adresse bei sunbird.ai
Titel
Zitiert von
Zitiert von
Jahr
Machine learning for plant disease incidence and severity measurements from leaf images
G Owomugisha, E Mwebaze
2016 15th IEEE international conference on machine learning and applications …, 2016
992016
Divergence-based classification in learning vector quantization
E Mwebaze, P Schneider, FM Schleif, JR Aduwo, JA Quinn, S Haase, ...
Neurocomputing 74 (9), 1429-1435, 2011
722011
Automated vision-based diagnosis of banana bacterial wilt disease and black sigatoka disease
G Owomugisha, JA Quinn, E Mwebaze, J Lwasa
International conference on the use of mobile ICT in Africa, 1-5, 2014
452014
iCassava 2019 fine-grained visual categorization challenge
E Mwebaze, T Gebru, A Frome, S Nsumba, J Tusubira
arXiv preprint arXiv:1908.02900, 2019
382019
Modeling and monitoring crop disease in developing countries
JA Quinn, K Leyton-Brown, E Mwebaze
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
382011
Automated Vision-Based Diagnosis of Cassava Mosaic Disease.
JR Aduwo, E Mwebaze, JA Quinn
ICDM (Workshops), 114-122, 2010
342010
Divergence based learning vector quantization
E Mwebaze, P Schneider, FM Schleif, S Haase, T Villmann, M Biehl
learning 1 (2), 3-4, 2010
202010
Prototype-based classification for image analysis and its application to crop disease diagnosis
E Mwebaze, M Biehl
Advances in Self-Organizing Maps and Learning Vector Quantization, 329-339, 2016
182016
A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda
ES Coker, AK Amegah, E Mwebaze, J Ssematimba, E Bainomugisha
Environmental Research 199, 111352, 2021
162021
Ontology boosted deep learning for disease name extraction from Twitter messages
MA Magumba, P Nabende, E Mwebaze
Journal of Big Data 5 (1), 1-19, 2018
162018
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
152020
Machine learning for diagnosis of disease in plants using spectral data
G Owomugisha, F Melchert, E Mwebaze, JA Quinn, M Biehl
Proceedings on the international conference on artificial intelligence (ICAI …, 2018
142018
Crowdsourcing real-time viral disease and pest information: A case of nation-wide cassava disease surveillance in a developing country
D Mutembesa, C Omongo, E Mwebaze
Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018
132018
Combining dissimilarity measures for prototype-based classification
E Mwebaze, G Bearda, M Biehl, D Zühlke
Proceedings of the European Symposium on Artificial Neural Networks …, 2015
132015
Causal structure learning for famine prediction
E Mwebaze, W Okori, JA Quinn
2010 AAAI Spring Symposium Series, 2010
132010
An image-based diagnosis of virus and bacterial skin infections
F Tushabe, E Mwebaze, F Kiwanuka
The International Conference on Complications in Interventional Radiology, 1-7, 2011
122011
Mobile-aware deep learning algorithms for malaria parasites and white blood cells localization in thick blood smears
R Nakasi, E Mwebaze, A Zawedde
Algorithms 14 (1), 17, 2021
92021
Early detection of plant diseases using spectral data
G Owomugisha, E Nuwamanya, JA Quinn, M Biehl, E Mwebaze
Proceedings of the 3rd International Conference on Applications of …, 2020
72020
Matrix relevance learning from spectral data for diagnosing cassava diseases
G Owomugisha, F Melchert, E Mwebaze, JA Quinn, M Biehl
IEEE Access 9, 83355-83363, 2021
62021
Generating synthetic multispectral satellite imagery from sentinel-2
T Mohandoss, A Kulkarni, D Northrup, E Mwebaze, H Alemohammad
arXiv preprint arXiv:2012.03108, 2020
62020
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