John A. Quinn

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John A. Quinn

CoRR, 2024

2023

Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages.

Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn

Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2022

Feature learning for efficient ASR-free keyword spotting in low-resource languages.

Ewald van der Westhuizen, Herman Kamper, Raghav Menon, John A. Quinn, Thomas Niesler

Comput. Speech Lang., 2022

2021

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases.

Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl

IEEE Access, 2021

2020

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

Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning.

Jeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Early detection of plant diseases using spectral data.

Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze

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.

Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz

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.

Raghav Menon, Herman Kamper, Ewald van der Westhuizen, John A. Quinn, Thomas Niesler

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.

Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler

CoRR, 2018

ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages.

Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler

Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

Automatic Speech Recognition for Humanitarian Applications in Somali.

Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler

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.

Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Designing and Evolving an Electronic Agricultural Marketplace in Uganda.

Neil Newman, Lauren Falcao Bergquist, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Craig McIntosh, John A. Quinn, Richard Ssekibuule

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.

Armin Saeb, Raghav Menon, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Radio-browsing for developmental monitoring in Uganda.

Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics.

John A. Quinn, Rose Nakasi, Pius K. B. Mugagga, Patrick Byanyima, William Lubega, Alfred Andama

Proceedings of the 1st Machine Learning in Health Care, 2016

2015

Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes.

Ricardo Andrade Pacheco, Martin Gordon Mubangizi, John A. Quinn, Neil D. Lawrence

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes.

Ricardo Andrade Pacheco, Martin Gordon Mubangizi, John A. Quinn, Neil D. Lawrence

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.

John A. Quinn, Masashi Sugiyama

Pattern Recognit. Lett., 2014

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.

Song Liu, John A. Quinn, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama

Neural Comput., 2014

2013

Density Ratio Hidden Markov Models

John A. Quinn, Masashi Sugiyama

CoRR, 2013

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.

Song Liu, John A. Quinn, Michael U. Gutmann, Masashi Sugiyama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A mobile market for agricultural trade in Uganda.

Richard Ssekibuule, John A. Quinn, Kevin Leyton-Brown

Proceedings of the Annual Symposium on Computing for Development, 2013

Low cost video-based traffic congestion monitoring using phones as sensors.

Rose Nakibuule, Joseph Ssenyange, John A. Quinn

Proceedings of the Annual Symposium on Computing for Development, 2013

2012

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

John Aldo Lee, Petra Schneider, John A. Quinn

Neurocomputing, 2012

Coupling Spatiotemporal Disease Modeling with Diagnosis.

Martin Gordon Mubangizi, Caterine Ikae, Athina Spiliopoulou, John A. Quinn

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Divergence-based classification in learning vector quantization.

Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl

Neurocomputing, 2011

Learning of causal relations.

John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Causal relevance learning for robust classification under interventions.

Ernest Mwebaze, John A. Quinn, Michael Biehl

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Modeling and Monitoring Crop Disease in Developing Countries.

John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Fast Committee-Based Structure Learning.

Ernest Mwebaze, John A. Quinn

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Automated Vision-Based Diagnosis of Cassava Mosaic Disease.

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

Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

Increased-specificity famine prediction using satellite observation data.

John A. Quinn, Washington Okori, Anthony Gidudu

Proceedings of the First ACM Annual Symposium on Computing for Development, 2010

Traffic Flow Monitoring in Crowded Cities.

John Alexander Quinn, Rose Nakibuule

Proceedings of the Artificial Intelligence for Development, 2010

Causal Structure Learning for Famine Prediction.

Ernest Mwebaze, Washington Okori, John Alexander Quinn

Proceedings of the Artificial Intelligence for Development, 2010

2009

Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring.

John A. Quinn, Christopher K. I. Williams, Neil McIntosh

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Methodologies for Continuous Cellular Tower Data Analysis.

Nathan Eagle, John A. Quinn, Aaron Clauset

Proceedings of the Pervasive Computing, 7th International Conference, 2009

Location Segmentation, Inference and Prediction for Anticipatory Computing.

Nathan Eagle, Aaron Clauset, John A. Quinn

Proceedings of the Technosocial Predictive Analytics, 2009

2008

Signal masking in Gaussian channels.

John A. Quinn, Christopher K. I. Williams

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Known Unknowns: Novelty Detection in Condition Monitoring.

John A. Quinn, Christopher K. I. Williams

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2005

Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care.

Christopher K. I. Williams, John A. Quinn, Neil McIntosh

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005