Articles with public access mandates - John QuinnLearn more
Available somewhere: 11
Deep convolutional neural networks for microscopy-based point of care diagnostics
JA Quinn, R Nakasi, PKB Mugagga, P Byanyima, W Lubega, A Andama
Machine learning for healthcare conference, 271-281, 2016
Mandates: Grand Challenges, Canada
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
Mandates: German Research Foundation
Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security
PJ Zufiria, D Pastor-Escuredo, L Úbeda-Medina, MA Hernandez-Medina, ...
PloS one 13 (4), e0195714, 2018
Mandates: Bill & Melinda Gates Foundation, Government of Spain
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
T Logar, J Bullock, E Nemni, L Bromley, JA Quinn, M Luengo-Oroz
Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13628 …, 2020
Mandates: Hewlett Foundation, UK Science and Technology Facilities Council
Designing and evolving an electronic agricultural marketplace in Uganda
N Newman, LF Bergquist, N Immorlica, K Leyton-Brown, B Lucier, ...
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
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
Mandates: Bill & Melinda Gates Foundation
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
Mandates: Bill & Melinda Gates Foundation
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
Mandates: Bill & Melinda Gates Foundation
Improving in-field cassava whitefly pest surveillance with machine learning
JF Tusubira, S Nsumba, F Ninsiima, B Akera, G Acellam, J Nakatumba, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation
Machine translation for african languages: Community creation of datasets and models in uganda
B Akera, J Mukiibi, L Sanyu Naggayi, C Babirye, I Owomugisha, ...
n African Natural Language Processing, 2022
Mandates: Hewlett Foundation
Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
IG Munabi, W Buwembo, F Bajunirwe, DL Kitara, R Joseph, K Peter, ...
BMC research notes 8, 1-6, 2015
Mandates: US National Institutes of Health
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