John A. Quinn

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 22

Top Topics

Gaussian Process

Keyword Spotting

Top Venues

Publications

Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John A. Quinn
Building a Luganda Text-to-Speech Model From Crowdsourced Data. CoRR (2024)
Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn
Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. AfricaNLP (2023)
Ewald van der Westhuizen, Herman Kamper, Raghav Menon, John A. Quinn, Thomas Niesler
Feature learning for efficient ASR-free keyword spotting in low-resource languages. Comput. Speech Lang. 71 (2022)
Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access 9 (2021)
Jeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana
Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning. CVPR Workshops (2020)
Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze
Early detection of plant diseases using spectral data. APPIS (2020)
Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz
PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts. AAAI (2020)
Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. COMPASS (2020)
Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts. CoRR (2020)
Raghav Menon, Herman Kamper, Ewald van der Westhuizen, John A. Quinn, Thomas Niesler
Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders. INTERSPEECH (2019)
Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler
Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders. CoRR (2018)
Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring. CoRR (2018)
Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler
Automatic Speech Recognition for Humanitarian Applications in Somali. CoRR (2018)
Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler
Automatic Speech Recognition for Humanitarian Applications in Somali. SLTU (2018)
Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler
ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages. SLTU (2018)
Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler
Fast ASR-free and Almost Zero-resource Keyword Spotting Using DTW and CNNs for Humanitarian Monitoring. INTERSPEECH (2018)
Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages. CoRR (2018)
Neil Newman, Lauren Falcao Bergquist, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Craig McIntosh, John A. Quinn, Richard Ssekibuule
Designing and Evolving an Electronic Agricultural Marketplace in Uganda. COMPASS (2018)
Armin Saeb, Raghav Menon, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler
Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring. INTERSPEECH (2017)
Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler
Radio-browsing for developmental monitoring in Uganda. ICASSP (2017)
John A. Quinn, Rose Nakasi, Pius K. B. Mugagga, Patrick Byanyima, William Lubega, Alfred Andama
Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics. CoRR (2016)
John A. Quinn, Rose Nakasi, Pius K. B. Mugagga, Patrick Byanyima, William Lubega, Alfred Andama
Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics. MLHC (2016)
Ricardo Andrade Pacheco, Martin Gordon Mubangizi, John A. Quinn, Neil D. Lawrence
Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes. AALTD@PKDD/ECML (2015)
Ricardo Andrade Pacheco, Martin Gordon Mubangizi, John A. Quinn, Neil D. Lawrence
Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Song Liu, John A. Quinn, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. Neural Comput. 26 (6) (2014)
John A. Quinn, Masashi Sugiyama
A least-squares approach to anomaly detection in static and sequential data. Pattern Recognit. Lett. 40 (2014)
Rose Nakibuule, Joseph Ssenyange, John A. Quinn
Low cost video-based traffic congestion monitoring using phones as sensors. ACM DEV (3) (2013)
John A. Quinn, Masashi Sugiyama
Density Ratio Hidden Markov Models CoRR (2013)
Song Liu, John A. Quinn, Michael U. Gutmann, Masashi Sugiyama
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. ECML/PKDD (2) (2013)
Richard Ssekibuule, John A. Quinn, Kevin Leyton-Brown
A mobile market for agricultural trade in Uganda. ACM DEV (4) (2013)
John Aldo Lee, Petra Schneider, John A. Quinn
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing 90 (2012)
Martin Gordon Mubangizi, Caterine Ikae, Athina Spiliopoulou, John A. Quinn
Coupling Spatiotemporal Disease Modeling with Diagnosis. AAAI (2012)
Ernest Mwebaze, John A. Quinn, Michael Biehl
Causal relevance learning for robust classification under interventions. ESANN (2011)
Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl
Divergence-based classification in learning vector quantization. Neurocomputing 74 (9) (2011)
John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl
Learning of causal relations. ESANN (2011)
Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn
Automated Vision-Based Diagnosis of Cassava Mosaic Disease. ICDM (Workshops) (2010)
Ernest Mwebaze, John A. Quinn
Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment (2010)
John A. Quinn, Washington Okori, Anthony Gidudu
Increased-specificity famine prediction using satellite observation data. ACM DEV (2010)
John A. Quinn, Christopher K. I. Williams, Neil McIntosh
Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring. IEEE Trans. Pattern Anal. Mach. Intell. 31 (9) (2009)
Nathan Eagle, John A. Quinn, Aaron Clauset
Methodologies for Continuous Cellular Tower Data Analysis. Pervasive (2009)
Nathan Eagle, Aaron Clauset, John A. Quinn
Location Segmentation, Inference and Prediction for Anticipatory Computing. AAAI Spring Symposium: Technosocial Predictive Analytics (2009)
John A. Quinn, Christopher K. I. Williams
Signal masking in Gaussian channels. ICASSP (2008)
John A. Quinn, Christopher K. I. Williams
Known Unknowns: Novelty Detection in Condition Monitoring. IbPRIA (1) (2007)
Christopher K. I. Williams, John A. Quinn, Neil McIntosh
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. NIPS (2005)