Ernest Mwebaze

发表

Message Classification for Generalized Disease Incidence Detection with Topologically Derived Concept Embeddings

Mark Abraham Magumba, P. Nabende, Ernest Mwebaze, 2018 .

University of Groningen Combining dissimilarity measures for prototype-based classification

Michael Biehl, Dietlind Zühlke, Ernest Mwebaze, 2017 .

ERROR QUANTIFICATION TOOL OF HEALTH RECORDS FOR DEVELOPING COUNTRIES

G. Maiga, Ernest Mwebaze, A. Zawedde, 2019, Proceedings of the 11th International Conference on e-Health 2019.

Finding Predictive Relationships between Noti fi able Diseases with Markov Blanket Discovery

J. Quinn, Ernest Mwebaze, 2010 .

A dataset of necrotized cassava root cross-section images

Solomon Nsumba, Ernest Mwebaze, J. Nakatumba-Nabende, 2020, Data in brief.

European Symposium on Artificial Neural Networks (ESANN) 2015

Michael Biehl, Ernest Mwebaze, Gjalt Bearda, 2015 .

Mining voter sentiments from Twitter data for the 2016 Uganda Presidential elections

Ernest Mwebaze, Isaac Mukonyezi, Claire Babirye, 2018 .

Scoring Root Necrosis in Cassava Using Semantic Segmentation pdf

Joyce Nakatumba-Nabende, Ernest Mwebaze, Jeremy Francis Tusubira, 2020, ArXiv.

Early detection of plant diseases using spectral data

Michael Biehl, Ernest Mwebaze, Godliver Owomugisha, 2020, APPIS.

Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning

Tonny J. Oyana, Ernest Mwebaze, Joyce Nakatumba, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring pdf

Ernest Mwebaze, Daniel Mutembesa, Christopher Omongo, 2019, ArXiv.

Crowdsourcing Real-Time Viral Disease and Pest Information: A Case of Nation-Wide Cassava Disease Surveillance in a Developing Country

Ernest Mwebaze, Daniel Mutembesa, Christopher Omongo, 2019, HCOMP.

Evaluating Subcriticality during the Ebola Epidemic in West Africa

Ernest Mwebaze, Travis C. Porco, Michael S. Deiner, 2015, PloS one.

A Land Use Regression Model using Machine Learning and Locally Developed Low Cost Particulate Matter Sensors in Uganda.

Engineer Bainomugisha, A. Amegah, E. Coker, 2021, Environmental research.

EXPLOITING SEMANTIC COHERENCE TO IMPROVE PREDICTION IN SATELLITE SCENE IMAGE ANALYSIS: APPLICATION TO DISEASE DENSITY ESTIMATION

Ernest Mwebaze, Gilbert Maiga, Rahman Sanya, 2019 .

An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria Detection

Ernest Mwebaze, Gilbert Maiga, Rose Nakasi, 2020, COMPASS.

Identifying patterns in urban housing density in developing countries using convolutional networks and satellite imagery

Ernest Mwebaze, Rahman Sanya, Ernest Mwebaze, 2020, Heliyon.

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases

Ernest Mwebaze, Friedrich Melchert, Godliver Owomugisha, 2021, IEEE Access.

Automated Vision-Based Diagnosis of Banana Bacterial Wilt Disease and Black Sigatoka Disease

J. Quinn, J. Lwasa, Godliver Owomugisha, 2022 .

Divergence-based classification in learning vector quantization

Thomas Villmann, Michael Biehl, Frank-Michael Schleif, 2011, Neurocomputing.

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

Ernest Mwebaze, Godliver Owomugisha, Godliver Owomugisha, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Automated Vision-Based Diagnosis of Cassava Mosaic Disease

Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn, 2010, ICDM.

A new approach for microscopic diagnosis of malaria parasites in thick blood smears using pre-trained deep learning models

Ernest Mwebaze, Gilbert Maiga, Rose Nakasi, 2020, SN Applied Sciences.

Application of Artificial Intelligence to Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: A Pilot Study (Preprint)

J. Sekandi, Ernest Mwebaze, P. Kaggwa, 2022, JMIR AI.

Luganda Text-to-Speech Machine pdf

Ernest Mwebaze, Irene Nandutu, Ernest Mwebaze, 2020, ArXiv.

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

Michael Biehl, Ernest Mwebaze, Michael Biehl, 2016, WSOM.

iCassava 2019Fine-Grained Visual Categorization Challenge pdf

Timnit Gebru, Ernest Mwebaze, Andrea Frome, 2019, ArXiv.

Ontology boosted deep learning for disease name extraction from Twitter messages

Ernest Mwebaze, Peter Nabende, M. Magumba, 2018, Journal of Big Data.

Ontology driven machine learning approach for disease name extraction from Twitter messages

Peter Nabende, Mark Abraham Magumba, Earnest Mwebaze, 2017, 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA).

Divergences for prototype-based classification and causal structure discovery

Ernest Mwebaze, Ernest Mwebaze, 2014 .

Semantic Design for Unstructured Health Data: A Review

Ernest Mwebaze, Jael Gudu, Joseph Balikuddembe, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Fast Committee-Based Structure Learning

Ernest Mwebaze, John A. Quinn, J. Quinn, 2008, NIPS Causality: Objectives and Assessment.

Causal Structure Learning for Famine Prediction

Ernest Mwebaze, John A. Quinn, Washington Okori, 2010, AAAI Spring Symposium: Artificial Intelligence for Development.

Divergence based Learning Vector Quantization

Thomas Villmann, Michael Biehl, Frank-Michael Schleif, 2010, ESANN.

Combining dissimilarity measures for prototype-based classification

Michael Biehl, Ernest Mwebaze, Dietlind Zühlke, 2015, ESANN.