Ernest Tonny Mwebaze
Ernest Tonny Mwebaze
Research Scientist
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Cited by
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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
Machine learning for plant disease incidence and severity measurements from leaf images
E Mwebaze, G Owomugisha
2016 15th IEEE international conference on machine learning and applications …, 2016
Modeling and monitoring crop disease in developing countries
J Quinn, K Leyton-Brown, E Mwebaze
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011
Automated Vision-Based Diagnosis of Cassava Mosaic Disease.
JR Aduwo, E Mwebaze, JA Quinn
Industrial Conference on Data Mining-Workshops, 114-122, 2010
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
Divergence based learning vector quantization
E Mwebaze, P Schneider, FM Schleif, S Haase, T Villmann, M Biehl
learning 1 (2), 3-4, 2010
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
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
An image-based diagnosis of virus and bacterial skin infections
F Tushabe, E Mwebaze, F Kiwanuka
The International Conference on Complications in Interventional Radiology, 2011
Towards a management information system for public administration in Uganda
J Matovu
University of Zululand, Kwa Dlangema, South Africa, 2006
Causal structure learning for famine prediction
E Mwebaze, W Okori, JA Quinn
2010 AAAI Spring Symposium Series, 2010
Ontology boosted deep learning for disease name extraction from Twitter messages
MA Magumba, P Nabende, E Mwebaze
Journal of Big Data 5 (1), 31, 2018
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
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
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (1), 2018
Pixel classification methods for automatic symptom measurement of cassava brown streak disease
J Tuhaise, JA Quinn, E Mwebaze
Proceding of the 1st International Conference on the Use of Mobile ICT in Africa, 2014
Fast committee-based structure learning
E Mwebaze, JA Quinn
Causality: Objectives and Assessment, 203-214, 2010
Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring
D Mutembesa, E Mwebaze, S Nsumba, C Omongo, H Mutaasa
arXiv preprint arXiv:1908.07047, 2019
iCassava 2019Fine-Grained Visual Categorization Challenge
E Mwebaze, T Gebru, A Frome, S Nsumba, J Tusubira
arXiv preprint arXiv:1908.02900, 2019
Data Science Africa–An Initiative to Bridge the Data Science Skills Gap in Africa
WM Ciira
ICSU, 2016
Divergences for prototype-based classification and causal structure discovery: Theory and application to natural datasets
E Mwebaze
University of Groningen, 2014
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