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.
JA Quinn, K Leyton-Brown, E Mwebaze
AAAI, 2011
Automated Vision-Based Diagnosis of Cassava Mosaic Disease.
JR Aduwo, E Mwebaze, JA Quinn
Industrial Conference on Data Mining-Workshops, 114-122, 2010
Divergence based learning vector quantization
E Mwebaze, P Schneider, FM Schleif, S Haase, T Villmann, M Biehl
learning 1 (2), 3-4, 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
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
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
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
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
arXiv preprint arXiv:1908.04237, 2019
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
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
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
Computational Prediction of Cholera Outbreaks
M Mubangizi, E Mwebaze, JA Quinn
Kampala. ICCIR, 2009
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