Ernest Mwebaze
Ernest Mwebaze
Lecturer, School of Computing & IT, Makerere University
Verified email at
TitleCited byYear
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
Modeling and monitoring crop disease in developing countries
JA Quinn, K Leyton-Brown, E Mwebaze
Twenty-Fifth AAAI Conference on Artificial Intelligence, 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
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
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
Towards a management information system for public administration in Uganda
J Matovu
University of Zululand, Kwa Dlangema, South Africa, 2006
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
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, 2014
Causal structure learning for famine prediction
E Mwebaze, W Okori, JA Quinn
2010 AAAI Spring Symposium Series, 2010
Fast committee-based structure learning
E Mwebaze, JA Quinn
Causality: Objectives and Assessment, 203-214, 2010
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
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
Divergences for prototype-based classification and causal structure discovery: Theory and application to natural datasets
E Mwebaze
University of Groningen, 2014
Causal relevance learning for robust classification under interventions.
E Mwebaze, JA Quinn, M Biehl
ESANN, 2011
Computational Prediction of Cholera Outbreaks
M Mubangizi, E Mwebaze, JA Quinn
Kampala. ICCIR, 2009
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
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
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