Ernest Mwebaze

According to our database, Ernest Mwebaze authored at least 28 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages.

Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn

Proceedings of the 4th Workshop on African Natural Language Processing, 2023

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

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases.

Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl

IEEE Access, 2021

2020

Generating Synthetic Multispectral Satellite Imagery from Sentinel-2.

Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad

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

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

Luganda Text-to-Speech Machine.

Irene Nandutu, Ernest Mwebaze

CoRR, 2020

Scoring Root Necrosis in Cassava Using Semantic Segmentation.

Jeremy Francis Tusubira, Benjamin Akera, Solomon Nsumba, Joyce Nakatumba-Nabende, Ernest Mwebaze

CoRR, 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

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

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 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

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Early detection of plant diseases using spectral data.

Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze

Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

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

iCassava 2019Fine-Grained Visual Categorization Challenge.

Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira

CoRR, 2019

2018

Ontology boosted deep learning for disease name extraction from Twitter messages.

Mark Abraham Magumba, Peter Nabende, Ernest Mwebaze

J. Big Data, 2018

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

Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

2016

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis.

Ernest Mwebaze, Michael Biehl

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images.

Ernest Mwebaze, Godliver Owomugisha

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Combining dissimilarity measures for prototype-based classification.

Ernest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zühlke

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

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

Causal relevance learning for robust classification under interventions.

Ernest Mwebaze, John A. Quinn, Michael Biehl

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Modeling and Monitoring Crop Disease in Developing Countries.

John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Fast Committee-Based Structure Learning.

Ernest Mwebaze, John A. Quinn

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Automated Vision-Based Diagnosis of Cassava Mosaic Disease.

Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn

Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

Divergence based Learning Vector Quantization.

Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Causal Structure Learning for Famine Prediction.

Ernest Mwebaze, Washington Okori, John Alexander Quinn

Proceedings of the Artificial Intelligence for Development, 2010