Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. - Christopher K. I. Williams; John A. Quinn; Neil McIntosh (NIPS, 2005)

Known Unknowns: Novelty Detection in Condition Monitoring. - John A. Quinn; Christopher K. I. Williams (IbPRIA (1), 2007)

Signal masking in Gaussian channels. - John A. Quinn; Christopher K. I. Williams (ICASSP, 2008)

Location Segmentation, Inference and Prediction for Anticipatory Computing. - Nathan Eagle; Aaron Clauset; John A. Quinn (AAAI Spring Symposium: Technosocial Predictive Analytics, 2009)

Methodologies for Continuous Cellular Tower Data Analysis. - Nathan Eagle; John A. Quinn; Aaron Clauset (Pervasive, 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)

Causal Structure Learning for Famine Prediction. - Ernest Mwebaze; Washington Okori; John Alexander Quinn (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Traffic Flow Monitoring in Crowded Cities. - John Alexander Quinn; Rose Nakibuule (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Increased-specificity famine prediction using satellite observation data. - John A. Quinn; Washington Okori; Anthony Gidudu (ACM DEV, 2010)

Automated Vision-Based Diagnosis of Cassava Mosaic Disease. - Jennifer R. Aduwo; Ernest Mwebaze; John A. Quinn (ICDM (Workshops), 2010)

Fast Committee-Based Structure Learning. - Ernest Mwebaze; John A. Quinn (NIPS Causality: Objectives and Assessment, 2010)

Modeling and Monitoring Crop Disease in Developing Countries. - John Alexander Quinn; Kevin Leyton-Brown; Ernest Mwebaze (AAAI, 2011)

Causal relevance learning for robust classification under interventions. - Ernest Mwebaze; John A. Quinn; Michael Biehl (ESANN, 2011)

Learning of causal relations. - John A. Quinn; Joris M. Mooij; Tom Heskes; Michael Biehl (ESANN, 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)

Coupling Spatiotemporal Disease Modeling with Diagnosis. - Martin Gordon Mubangizi; Caterine Ikae; Athina Spiliopoulou; John A. Quinn (AAAI, 2012)

Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). - John Aldo Lee; Petra Schneider; John A. Quinn (Neurocomputing, 2012)

Low cost video-based traffic congestion monitoring using phones as sensors. - Rose Nakibuule; Joseph Ssenyange; John A. Quinn (ACM DEV (3), 2013)

A mobile market for agricultural trade in Uganda. - Richard Ssekibuule; John A. Quinn; Kevin Leyton-Brown (ACM DEV (4), 2013)

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. - Song Liu 002; John A. Quinn; Michael U. Gutmann; Masashi Sugiyama (ECML/PKDD (2), 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 002; John A. Quinn; Michael U. Gutmann; Taiji Suzuki; Masashi Sugiyama (Neural Comput., 2014)

A least-squares approach to anomaly detection in static and sequential data. - John A. Quinn; Masashi Sugiyama (Pattern Recognit. Lett., 2014)

Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes. - Ricardo Andrade Pacheco; Martin Gordon Mubangizi; John A. Quinn; Neil D. Lawrence (AALTD@PKDD/ECML, 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 (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

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 (MLHC, 2016)

Radio-browsing for developmental monitoring in Uganda. - Raghav Menon; Armin Saeb; Hugh Cameron; William Kibira; John A. Quinn; Thomas Niesler (ICASSP, 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 (INTERSPEECH, 2017)

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 (COMPASS, 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 (INTERSPEECH, 2018)

Automatic Speech Recognition for Humanitarian Applications in Somali. - Raghav Menon; Astik Biswas; Armin Saeb; John A. Quinn; Thomas Niesler (SLTU, 2018)

ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages. - Raghav Menon; Herman Kamper; Emre Yilmaz 001; John A. Quinn; Thomas Niesler (SLTU, 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)

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 (INTERSPEECH, 2019)

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 (AAAI, 2020)

Early detection of plant diseases using spectral data. - Godliver Owomugisha; Ephraim Nuwamanya; John A. Quinn; Michael Biehl; Ernest Mwebaze (APPIS, 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 (CVPR Workshops, 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 (COMPASS, 2020)

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. - Godliver Owomugisha; Friedrich Melchert; Ernest Mwebaze; John A. Quinn; Michael Biehl (IEEE Access, 2021)

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)

Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. - Isaac Owomugisha; Benjamin Akera; Ernest Mwebaze; John A. Quinn (AfricaNLP, 2023)

Building a Luganda Text-to-Speech Model From Crowdsourced Data. - Sulaiman Kagumire; Andrew Katumba; Joyce Nakatumba-Nabende; John A. Quinn (CoRR, 2024)