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Ernest Mwebaze
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2020 – today
- 2023
- [c16]Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn:
Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. AfricaNLP 2023 - 2021
- [j4]Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl:
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access 9: 83355-83363 (2021) - [j3]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): 17 (2021) - 2020
- [c15]Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze:
Early detection of plant diseases using spectral data. APPIS 2020: 26:1-26:6 - [c14]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: 303-309 - [c13]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: 4238-4244 - [c12]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: 301-304 - [c11]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: 331-332 - [i9]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 abs/2004.11051 (2020) - [i8]Jeremy Francis Tusubira, Benjamin Akera, Solomon Nsumba, Joyce Nakatumba-Nabende, Ernest Mwebaze:
Scoring Root Necrosis in Cassava Using Semantic Segmentation. CoRR abs/2005.03367 (2020) - [i7]Irene Nandutu, Ernest Mwebaze:
Luganda Text-to-Speech Machine. CoRR abs/2005.05447 (2020) - [i6]Rose Nakasi, Aminah Zawedde, Ernest Mwebaze, Jeremy Francis Tusubira, Gilbert Maiga:
Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears. CoRR abs/2012.01994 (2020) - [i5]Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad:
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks. CoRR abs/2012.03093 (2020) - [i4]Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad:
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2. CoRR abs/2012.03108 (2020)
2010 – 2019
- 2019
- [i3]Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira:
iCassava 2019Fine-Grained Visual Categorization Challenge. CoRR abs/1908.02900 (2019) - [i2]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 abs/1908.04237 (2019) - [i1]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 abs/1908.07047 (2019) - 2018
- [j2]Mark Abraham Magumba, Peter Nabende, Ernest Mwebaze:
Ontology boosted deep learning for disease name extraction from Twitter messages. J. Big Data 5: 31 (2018) - [c10]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: 117-125 - 2016
- [c9]Ernest Mwebaze, Godliver Owomugisha:
Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images. ICMLA 2016: 158-163 - [c8]Ernest Mwebaze, Michael Biehl:
Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis. WSOM 2016: 329-339 - 2015
- [c7]Ernest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zühlke:
Combining dissimilarity measures for prototype-based classification. ESANN 2015 - 2011
- [j1]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): 1429-1435 (2011) - [c6]John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze:
Modeling and Monitoring Crop Disease in Developing Countries. AAAI 2011: 1390-1395 - [c5]Ernest Mwebaze, John A. Quinn, Michael Biehl:
Causal relevance learning for robust classification under interventions. ESANN 2011 - 2010
- [c4]Ernest Mwebaze, Washington Okori, John Alexander Quinn:
Causal Structure Learning for Famine Prediction. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c3]Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl:
Divergence based Learning Vector Quantization. ESANN 2010 - [c2]Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn:
Automated Vision-Based Diagnosis of Cassava Mosaic Disease. ICDM (Workshops) 2010: 114-122 - [c1]Ernest Mwebaze, John A. Quinn:
Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment 2010: 203-214
Coauthor Index
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