Ernest Mwebaze - researchr alias

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Viewing Publication 1 - 20 from 20

2023

Multilingual Model and Data Resources for Text-To-Speech in Ugandan LanguagesIsaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn. africanlp 2023: [doi]

2021

Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood SmearsRose Nakasi, Ernest Mwebaze, Aminah Zawedde. algorithms, 14(1):17, 2021. [doi]

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava DiseasesGodliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl. access, 9:83355-83363, 2021. [doi]

2020

An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria DetectionRose Nakasi, Ernest Mwebaze, Aminah Zawedde, Jeremy Francis Tusubira, Gilbert Maiga. dev 2020: 301-304 [doi]

A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing countryRose Nakasi, Jeremy Francis Tusubira, Aminah Zawedde, Ali Mansourian, Ernest Mwebaze. cvpr 2020: 4238-4244 [doi]

A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in fieldGodliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl. dev 2020: 331-332 [doi]

Early detection of plant diseases using spectral dataGodliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze. appis 2020: [doi]

Improving In-field Cassava Whitefly Pest Surveillance with Machine LearningJeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana. cvpr 2020: 303-309 [doi]

2018

Ontology boosted deep learning for disease name extraction from Twitter messagesMark Abraham Magumba, Peter Nabende, Ernest Mwebaze. jbd, 5:31, 2018. [doi]

Crowdsourcing Real-Time Viral Disease and Pest Information: A Case of Nation-Wide Cassava Disease Surveillance in a Developing CountryDaniel Mutembesa, Christopher Omongo, Ernest Mwebaze. hcomp 2018: 117-125 [doi]

2016

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease DiagnosisErnest Mwebaze, Michael Biehl. wsom 2016: 329-339 [doi]

Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf ImagesErnest Mwebaze, Godliver Owomugisha. icmla 2016: 158-163 [doi]

2015

Combining dissimilarity measures for prototype-based classificationErnest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zühlke. esann 2015: [doi]

2011

2010

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