Causal Structure Learning for Famine Prediction. - Ernest Mwebaze; Washington Okori; John Alexander Quinn (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Divergence based Learning Vector Quantization. - Ernest Mwebaze; Petra Schneider; Frank-Michael Schleif; Sven Haase; Thomas Villmann; Michael Biehl (ESANN, 2010)

Automated Vision-Based Diagnosis of Cassava Mosaic Disease. - Jennifer R. Aduwo; Ernest Mwebaze; John A. Quinn (ICDM (Workshops), 2010)

Fast Committee-Based Structure Learning. - Ernest Mwebaze; John A. Quinn (NIPS Causality: Objectives and Assessment, 2010)

Modeling and Monitoring Crop Disease in Developing Countries. - John Alexander Quinn; Kevin Leyton-Brown; Ernest Mwebaze (AAAI, 2011)

Causal relevance learning for robust classification under interventions. - Ernest Mwebaze; John A. Quinn; Michael Biehl (ESANN, 2011)

Divergence-based classification in learning vector quantization. - Ernest Mwebaze; Petra Schneider; Frank-Michael Schleif; Jennifer R. Aduwo; John A. Quinn; Sven Haase; Thomas Villmann; Michael Biehl (Neurocomputing, 2011)

Combining dissimilarity measures for prototype-based classification. - Ernest Mwebaze; Gjalt Bearda; Michael Biehl; Dietlind Zühlke (ESANN, 2015)

Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images. - Ernest Mwebaze; Godliver Owomugisha (ICMLA, 2016)

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis. - Ernest Mwebaze; Michael Biehl (WSOM, 2016)

Crowdsourcing Real-Time Viral Disease and Pest Information: A Case of Nation-Wide Cassava Disease Surveillance in a Developing Country. - Daniel Mutembesa; Christopher Omongo; Ernest Mwebaze (HCOMP, 2018)

Ontology boosted deep learning for disease name extraction from Twitter messages. - Mark Abraham Magumba; Peter Nabende; Ernest Mwebaze (J. Big Data, 2018)

iCassava 2019Fine-Grained Visual Categorization Challenge. - Ernest Mwebaze; Timnit Gebru; Andrea Frome; Solomon Nsumba; Jeremy Tusubira (CoRR, 2019)

Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring. - Daniel Mutembesa; Ernest Mwebaze; Solomon Nsumba; Christopher Omongo; Humphrey Mutaasa (CoRR, 2019)

Early detection of plant diseases using spectral data. - Godliver Owomugisha; Ephraim Nuwamanya; John A. Quinn; Michael Biehl; Ernest Mwebaze (APPIS, 2020)

A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country. - Rose Nakasi; Jeremy Francis Tusubira; Aminah Zawedde; Ali Mansourian; Ernest Mwebaze (CVPR Workshops, 2020)

Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning. - Jeremy Francis Tusubira; Solomon Nsumba; Flavia Ninsiima; Benjamin Akera; Guy Acellam; Joyce Nakatumba; Ernest Mwebaze; John A. Quinn; Tonny J. Oyana (CVPR Workshops, 2020)

An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria Detection. - Rose Nakasi; Ernest Mwebaze; Aminah Zawedde; Jeremy Francis Tusubira; Gilbert Maiga (COMPASS, 2020)

A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. - Godliver Owomugisha; Pius K. B. Mugagga; Friedrich Melchert; Ernest Mwebaze; John A. Quinn; Michael Biehl (COMPASS, 2020)

Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020. - Yannis Kalantidis; Laura Sevilla-Lara; Ernest Mwebaze; Dina Machuve; Hamed Alemohammad; David Guerena (CoRR, 2020)

Scoring Root Necrosis in Cassava Using Semantic Segmentation. - Jeremy Francis Tusubira; Benjamin Akera; Solomon Nsumba; Joyce Nakatumba-Nabende; Ernest Mwebaze (CoRR, 2020)

Luganda Text-to-Speech Machine. - Irene Nandutu; Ernest Mwebaze (CoRR, 2020)

Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears. - Rose Nakasi; Aminah Zawedde; Ernest Mwebaze; Jeremy Francis Tusubira; Gilbert Maiga (CoRR, 2020)

Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks. - Aditya Kulkarni; Tharun Mohandoss; Daniel Northrup; Ernest Mwebaze; Hamed Alemohammad (CoRR, 2020)

Generating Synthetic Multispectral Satellite Imagery from Sentinel-2. - Tharun Mohandoss; Aditya Kulkarni; Daniel Northrup; Ernest Mwebaze; Hamed Alemohammad (CoRR, 2020)

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. - Godliver Owomugisha; Friedrich Melchert; Ernest Mwebaze; John A. Quinn; Michael Biehl (IEEE Access, 2021)

Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears. - Rose Nakasi; Ernest Mwebaze; Aminah Zawedde (Algorithms, 2021)

Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. - Isaac Owomugisha; Benjamin Akera; Ernest Mwebaze; John A. Quinn (AfricaNLP, 2023)