John A. Quinn

Orcid: 0000-0002-6485-2945

According to our database1, John A. Quinn authored at least 42 papers between 2005 and 2024.

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Bibliography

2024
Building a Luganda Text-to-Speech Model From Crowdsourced Data.
CoRR, 2024

2023
Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages.
Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2022
Feature learning for efficient ASR-free keyword spotting in low-resource languages.
Comput. Speech Lang., 2022

2021
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases.
IEEE Access, 2021

2020
A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field.
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Early detection of plant diseases using spectral data.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders.
CoRR, 2018

ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

Automatic Speech Recognition for Humanitarian Applications in Somali.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

Fast ASR-free and Almost Zero-resource Keyword Spotting Using DTW and CNNs for Humanitarian Monitoring.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Designing and Evolving an Electronic Agricultural Marketplace in Uganda.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2017
Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Radio-browsing for developmental monitoring in Uganda.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics.
Proceedings of the 1st Machine Learning in Health Care, 2016

2015
Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes.
Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

2014
A least-squares approach to anomaly detection in static and sequential data.
Pattern Recognit. Lett., 2014

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.
Neural Comput., 2014

2013
Density Ratio Hidden Markov Models
CoRR, 2013

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A mobile market for agricultural trade in Uganda.
Proceedings of the Annual Symposium on Computing for Development, 2013

Low cost video-based traffic congestion monitoring using phones as sensors.
Proceedings of the Annual Symposium on Computing for Development, 2013

2012
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011).
Neurocomputing, 2012

Coupling Spatiotemporal Disease Modeling with Diagnosis.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Divergence-based classification in learning vector quantization.
Neurocomputing, 2011

Learning of causal relations.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Causal relevance learning for robust classification under interventions.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Modeling and Monitoring Crop Disease in Developing Countries.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Fast Committee-Based Structure Learning.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Automated Vision-Based Diagnosis of Cassava Mosaic Disease.
Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

Increased-specificity famine prediction using satellite observation data.
Proceedings of the First ACM Annual Symposium on Computing for Development, 2010

Traffic Flow Monitoring in Crowded Cities.
Proceedings of the Artificial Intelligence for Development, 2010

Causal Structure Learning for Famine Prediction.
Proceedings of the Artificial Intelligence for Development, 2010

2009
Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Methodologies for Continuous Cellular Tower Data Analysis.
Proceedings of the Pervasive Computing, 7th International Conference, 2009

Location Segmentation, Inference and Prediction for Anticipatory Computing.
Proceedings of the Technosocial Predictive Analytics, 2009

2008
Signal masking in Gaussian channels.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Known Unknowns: Novelty Detection in Condition Monitoring.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2005
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005


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