Ernest Mwebaze

发表

Automated Vision-Based Diagnosis of Cassava Mosaic Disease

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

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.

Signature-based Denial of Service and Probe Detection, a Machine Learning approach

Ernest Mwebaze, Claire Babirye, 2018 .

A Thin client open source model for a rural health facility

Ernest Mwebaze, 2009 .

A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country

Ernest Mwebaze, Ali Mansourian, Rose Nakasi, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Causal relevance learning for robust classification under interventions

Michael Biehl, Ernest Mwebaze, John A. Quinn, 2011, ESANN.

Scoring Root Necrosis in Cassava Using Semantic Segmentation pdf

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

Divergence based Learning Vector Quantization

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

European Symposium on Artificial Neural Networks (ESANN) 2015

Michael Biehl, Ernest Mwebaze, Gjalt Bearda, 2015 .

Early detection of plant diseases using spectral data

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

Divergences for prototype-based classification and causal structure discovery

Ernest Mwebaze, Ernest Mwebaze, 2014 .

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

Ernest Mwebaze, Gilbert Maiga, Rahman Sanya, 2019 .

Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks pdf

Hamed Alemohammad, Ernest Mwebaze, Aditya Kulkarni, 2020, ArXiv.

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.

Generating Synthetic Multispectral Satellite Imagery from Sentinel-2 pdf

Hamed Alemohammad, Ernest Mwebaze, Aditya Kulkarni, 2020, ArXiv.

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.

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

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

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

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

Modeling and Monitoring Crop Disease in Developing Countries

Ernest Mwebaze, John A. Quinn, Kevin Leyton-Brown, 2011, AAAI.

Ontology boosted deep learning for disease name extraction from Twitter messages

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

Causal Structure Learning for Famine Prediction

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

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

Fast Committee-Based Structure Learning

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

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).

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).

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

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

Divergence-based classification in learning vector quantization

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

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).

Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears pdf

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

A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field

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

Design Choices for Automated Disease Surveillance in the Social Web

Ernest Mwebaze, Peter Nabende, Mark Abraham Magumba, 2018, Online journal of public health informatics.

Luganda Text-to-Speech Machine pdf

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

iCassava 2019Fine-Grained Visual Categorization Challenge pdf

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

Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020 pdf

Hamed Alemohammad, Ernest Mwebaze, Yannis Kalantidis, 2020, ArXiv.

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases

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

Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears

Ernest Mwebaze, Rose Nakasi, Aminah Zawedde, 2021, Algorithms.

Evaluating Subcriticality during the Ebola Epidemic in West Africa

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