Machine Translation For African Languages: Community Creation Of Datasets And Models In Uganda
Benjamin Akera, Jonathan Mukiibi, Lydia Sanyu Naggayi, Claire Babirye, Isaac Owomugisha, Solomon Nsumba, Joyce Nakatumba-Nabende, Engineer Bainomugisha, Ernest Mwebaze, John Quinn
3rd Workshop on African Natural Language Processing, 2022
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SALT translation dataset
Publications
Feature learning for efficient ASR-free keyword spotting in low-resource languages
Ewald van der Westhuizen, Herman Kamper, Raghav Menon, John Quinn, Thomas Niesler
Computer Speech & Language (17), 2022
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Continental-scale building detection from high resolution satellite imagery
Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cisse, John Quinn
arXiv:2107.12283, 2021
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Open Buildings site
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
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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
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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
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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
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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
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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
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Using Machine Learning to Analyse Radio Content in Uganda
Pulse Lab Kampala
United Nations Global Pulse, 2017
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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
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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
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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
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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
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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
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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
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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
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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
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A least-squares approach to anomaly detection in static and sequential data
John A Quinn, Masashi Sugiyama
Pattern Recognition Letters 40, 36-40, 2014
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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
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Density ratio hidden Markov models
John A Quinn, Masashi Sugiyama
arXiv:1302.3700, 2013
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Computational Techniques for Crop Disease Monitoring in the Developing World
John Quinn
Symposium on Intelligent Data Analysis (IDA), 2013
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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
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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
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Modeling and Monitoring Crop Disease in Developing Countries
John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze
AAAI, 2011
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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
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Causal relevance learning for robust classification under interventions
Ernest Mwebaze, John A Quinn, Michael Biehl
ESANN, 2011
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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
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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
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Signal masking in Gaussian channels
John A Quinn, Christopher KI Williams
International Conference on Acoustics, Speech and Signal Processing , 2008
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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
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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
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