Ernest Mwebaze

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 21

Top Topics

Machine Learning

Disease Surveillance

Top Venues

Publications

Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn
Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. AfricaNLP (2023)
Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access 9 (2021)
Rose Nakasi, Ernest Mwebaze, Aminah Zawedde
Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears. Algorithms 14 (1) (2021)
Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze, Dina Machuve, Hamed Alemohammad, David Guerena
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020. CoRR (2020)
Jeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana
Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning. CVPR Workshops (2020)
Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze
Early detection of plant diseases using spectral data. APPIS (2020)
Irene Nandutu, Ernest Mwebaze
Luganda Text-to-Speech Machine. CoRR (2020)
Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. COMPASS (2020)
Rose Nakasi, Jeremy Francis Tusubira, Aminah Zawedde, Ali Mansourian, Ernest Mwebaze
A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country. CVPR Workshops (2020)
Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks. CoRR (2020)
Rose Nakasi, Aminah Zawedde, Ernest Mwebaze, Jeremy Francis Tusubira, Gilbert Maiga
Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears. CoRR (2020)
Jeremy Francis Tusubira, Benjamin Akera, Solomon Nsumba, Joyce Nakatumba-Nabende, Ernest Mwebaze
Scoring Root Necrosis in Cassava Using Semantic Segmentation. CoRR (2020)
Rose Nakasi, Ernest Mwebaze, Aminah Zawedde, Jeremy Francis Tusubira, Gilbert Maiga
An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria Detection. COMPASS (2020)
Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2. CoRR (2020)
Daniel Mutembesa, Christopher Omongo, Ernest Mwebaze
Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country. CoRR (2019)
Daniel Mutembesa, Ernest Mwebaze, Solomon Nsumba, Christopher Omongo, Humphrey Mutaasa
Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring. CoRR (2019)
Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira
iCassava 2019Fine-Grained Visual Categorization Challenge. CoRR (2019)
Mark Abraham Magumba, Peter Nabende, Ernest Mwebaze
Ontology boosted deep learning for disease name extraction from Twitter messages. J. Big Data 5 (2018)
Daniel Mutembesa, Christopher Omongo, Ernest Mwebaze
Crowdsourcing Real-Time Viral Disease and Pest Information: A Case of Nation-Wide Cassava Disease Surveillance in a Developing Country. HCOMP (2018)
Ernest Mwebaze, Godliver Owomugisha
Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images. ICMLA (2016)
Ernest Mwebaze, Michael Biehl
Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis. WSOM (2016)
Ernest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zühlke
Combining dissimilarity measures for prototype-based classification. ESANN (2015)
Ernest Mwebaze, John A. Quinn, Michael Biehl
Causal relevance learning for robust classification under interventions. ESANN (2011)
Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl
Divergence-based classification in learning vector quantization. Neurocomputing 74 (9) (2011)
John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze
Modeling and Monitoring Crop Disease in Developing Countries. AAAI (2011)
Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl
Divergence based Learning Vector Quantization. ESANN (2010)
Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn
Automated Vision-Based Diagnosis of Cassava Mosaic Disease. ICDM (Workshops) (2010)
Ernest Mwebaze, John A. Quinn
Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment (2010)
Ernest Mwebaze, Washington Okori, John Alexander Quinn
Causal Structure Learning for Famine Prediction. AAAI Spring Symposium: Artificial Intelligence for Development (2010)