Publications

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 Luengo-Oroz
AAAI (Demo Track), 2020
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PulseSatellite project page

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 Quinn, Tonny Oyana
CVPR 2020 Workshops, 2020
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Early detection of plant diseases using spectral data
Godliver Owomugisha, Ephraim Nuwamanya, John A Quinn, Michael Biehl, Ernest Mwebaze
International Conference on Applications of Intelligent Systems, 2020
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A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field
Godliver Owomugisha, Pius KB Mugagga, Friedrich Melchert, Ernest Mwebaze, John A Quinn, Michael Biehl
Conference on Computing and Sustainable Societies (COMPASS), 2020
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Mobility profiles and calendars for food security and livelihoods analysis
Pedro J Zufiria, David Pastor-Escuredo, Luis Ubeda Medina, Miguel A Hernandez Medina, Iker Barriales Valbuena, Alfredo J Morales, Wilfred Nkwambi, John Quinn, Paula Hidalgo Sanchis, Miguel Luengo-Oroz
arXiv:1904.08525, 2019
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Machine Learning for diagnosis of disease in plants using spectral data
Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A Quinn, Michael Biehl
International Conference on Artificial Intelligence (ICAI), 2018
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Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security
Pedro J Zufiria, David Pastor-Escuredo, Luis Úbeda-Medina, Miguel A Hernandez-Medina, Iker Barriales-Valbuena, Alfredo J Morales, Damien C Jacques, Wilfred Nkwambi, M Bamba Diop, John Quinn, Paula Hidalgo-Sanchís, Miguel Luengo-Oroz
PloS one (13) 4, 2018
pdf

Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement mapping
John A Quinn, Marguerite M Nyhan, Celia Navarro, Davide Coluccia, Lars Bromley, Miguel Luengo-Oroz
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (376) 2128, 2018
pdf

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 Quinn, Thomas Niesler
arXiv:1811.08284, 2018
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Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring
Raghav Menon, Herman Kamper, John Quinn, Thomas Niesler
arXiv:1806.09374, 2018
pdf

Designing and evolving an electronic agricultural marketplace in Uganda
Neil Newman, Lauren Falcao Bergquist, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Craig McIntosh, John Quinn, Richard Ssekibuule
Conference on Computing and Sustainable Societies (COMPASS), 2018
pdf

Automatic speech recognition for humanitarian applications in Somali
Raghav Menon, Astik Biswas, Armin Saeb, John Quinn, Thomas Niesler
arXiv:1807.08669, 2018
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ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages
Raghav Menon, Herman Kamper, Emre Yilmaz, John Quinn, Thomas Niesler
arXiv:1807.08666, 2018
pdf

Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring
Armin Saeb, Raghav Menon, Hugh Cameron, William Kibira, John Quinn, Thomas Niesler
INTERSPEECH, 2118-2122, 2017
pdf

Using Machine Learning to Analyse Radio Content in Uganda
Pulse Lab Kampala
United Nations Global Pulse, 2017
pdf
Project page

Radio-browsing for developmental monitoring in Uganda
Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John Quinn, Thomas Niesler
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
pdf

Deep convolutional neural networks for microscopy-based point of care diagnostics
John A Quinn, Rose Nakasi, Pius KB Mugagga, Patrick Byanyima, William Lubega, Alfred Andama
Machine Learning for Healthcare Conference, 2016
pdf
Project page, code and data

Data Science Africa–An Initiative to Bridge the Data Science Skills Gap in Africa
Ciira wa Maina, Mike Smith, Ernest Mwebaze, Andreas Damianou, Martin Mubangizi, John A. Quinn, Neil D. Lawrence
SciDataCon, 2016
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Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes
Ricardo Andrade-Pacheco, Martin Mubangizi, John Quinn, Neil Lawrence
International Workshop on Advanced Analysis and Learning on Temporal Data, 2015
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Pixel Classification Methods for Automatic Symptom Measurement of Cassava Brown Streak Disease
Joviah Tuhaise, John A Quinn, Ernest Mwebaze
International Conference on the Use of Mobile Information and Communications Technology in Africa, 2014
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Performance Evaluation of a Low Cost Vision-Based Traffic Flow Monitoring System
Rose Nakibuule, John Quinn
International Conference on the Use of Mobile Information and Communications Technology in Africa, 2014
pdf

Malaria surveillance with multiple data sources using Gaussian process models
Martin Mubangizi, Ricardo Andrade-Pacheco, Michael Smith, John A Quinn, Neil Lawrence
International Conference on the Use of Mobile Information and Communications Technology in Africa, 2014
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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 Computation (26) 6, 1169-1197, 2014
pdf

Consistent mapping of government malaria records across a changing territory delimitation
Ricardo Andrade-Pacheco, Martin Mubangizi, John Quinn, Neil D Lawrence
Malaria Journal 2014 13 (Suppl 1):P5, 2014
pdf

Computational sustainability and artificial intelligence in the developing world
John Quinn, Vanessa Frias-Martinez, Lakshminarayan Subramanian
AI Magazine (35) 3, 36-47, 2014
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Automated Vision-Based Diagnosis of Banana Bacterial Wilt Disease and Black Sigatoka Disease
Godliver Owomugisha, John A Quinn, Ernest Mwebaze, James Lwasa
International Conference on the Use of Mobile Information and Communications Technology in Africa, 2014
pdf

Automated Blood Smear Analysis for Mobile Malaria Diagnosis
John A Quinn, Alfred Andama, Ian Munabi, Fred N Kiwanuka
Chapter in ‘Mobile Point-of-Care Monitors and Diagnostic Device Design’, CRC Press, 2014
pdf

An adaptive transportation prediction model for the informal public transport sector in Africa
I Ndibatya, Marthinus J Booysen, J Quinn
IEEE Conference on Intelligent Transportation Systems , 2014
pdf

A least-squares approach to anomaly detection in static and sequential data
John A Quinn, Masashi Sugiyama
Pattern Recognition Letters 40, 36-40, 2014
pdf
Code

Low cost video-based traffic congestion monitoring using phones as sensors
Rose Nakibuule, Joseph Ssenyange, John A Quinn
ACM Symposium on Computing for Development, 2013
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Direct learning of sparse changes in Markov networks by density ratio estimation
Song Liu, John A Quinn, Michael U Gutmann, Masashi Sugiyama
European Conference on Machine Learning(ECML), 2013
pdf

Density ratio hidden Markov models
John A Quinn, Masashi Sugiyama
arXiv:1302.3700, 2013
pdf

Computational Techniques for Crop Disease Monitoring in the Developing World
John Quinn
Symposium on Intelligent Data Analysis (IDA), 2013
pdf

A mobile market for agricultural trade in Uganda
Richard Ssekibuule, John A Quinn, Kevin Leyton-Brown
Proceedings of the 4th Annual Symposium on Computing for Development, 2013
pdf

Coupling Spatiotemporal Disease Modeling with Diagnosis
Martin Mubangizi, Catherine Ikae, Athina Spiliopoulou, John A Quinn
AAAI, 2012
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Physiological Monitoring with Factorial Switching Linear Dynamical Systems
John Quinn, Christopher Williams
Chapter in ‘Bayesian Times Series Models’, Cambridge University Press, 2011
pdf

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

Learning of causal relations
J Quinn, Joris M Mooij, Tom Heskes, Michael Biehl
ESANN, 2011
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Divergence-based classification in learning vector quantization
Ernest Mwebaze, Petra Schneider, F-M Schleif, Jennifer R Aduwo, John A Quinn, Sven Haase, Thomas Villmann, Michael Biehl
Neurocomputing (74) 9, 1429-1435, 2011
pdf

Causal relevance learning for robust classification under interventions
Ernest Mwebaze, John A Quinn, Michael Biehl
ESANN, 2011
pdf

Traffic Flow Monitoring in Crowded Cities
John Alexander Quinn, Rose Nakibuule
AAAI Spring Symposium: Artificial Intelligence for Development, 2010
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Increased-specificity famine prediction using satellite observation data
John A Quinn, Washington Okori, Anthony Gidudu
ACM Symposium on Computing for Development, 2010
pdf

Causal structure learning for famine prediction
Ernest Mwebaze, Washington Okori, John Alexander Quinn
AAAI Spring Symposium: Artificial Intelligence for Development, 2010
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Automated Vision-Based Diagnosis of Cassava Mosaic Disease
Jennifer R Aduwo, Ernest Mwebaze, John A Quinn
Industrial Conference on Data Mining Workshops, 114-122, 2010
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Methodologies for continuous cellular tower data analysis
Nathan Eagle, John A Quinn, Aaron Clauset
International Conference on Pervasive Computing, 342-353, 2009
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Location Segmentation, Inference and Prediction for Anticipatory Computing
Nathan Eagle, Aaron Clauset, John A Quinn
AAAI Spring Symposium: Technosocial Predictive Analytics, 20-25, 2009
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Computational Prediction of Cholera Outbreaks
Martin Mubangizi, Ernest Mwebaze, John A Quinn
ICCIR, Kampala, 2009
pdf

Signal masking in Gaussian channels
John A Quinn, Christopher KI Williams
International Conference on Acoustics, Speech and Signal Processing , 2008
pdf

Fast committee-based structure learning
Ernest Mwebaze, John A Quinn
Advances in Neural Information Processing Systems: Workshop on Causality, 2008
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Factorial switching linear dynamical systems applied to physiological condition monitoring
John A Quinn, Christopher KI Williams, Neil McIntosh
IEEE Transactions on Pattern Analysis and Machine Intelligence (31) 9, 1537-1551, 2008
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Known unknowns: Novelty detection in condition monitoring
John A Quinn, Christopher KI Williams
Iberian Conference on Pattern Recognition and Image Analysis, 1-6, 2007
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How to be lost: Principled priming and pruning with particles in score following
Charles Fox, John Quinn
International Computer Music Conference, 2007
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Bayesian Condition Monitoring in Neonatal Intensive Care
John Quinn
PhD thesis, University of Edinburgh, 2007
pdf

Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
Christopher Williams, John Quinn, Neil McIntosh
Advances in Neural Information Processing Systems 18, 2005
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A comparison of graphical and textual presentations of time series data to support medical decision making in the neonatal intensive care unit
Anna S Law, Yvonne Freer, Jim Hunter, Robert H Logie, Neil Mcintosh, John Quinn
Journal of Clinical Monitoring and Computing (19) 3, 183-194, 2005
pdf