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2020 – today
- 2024
[i8]Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende
, John A. Quinn:
Building a Luganda Text-to-Speech Model From Crowdsourced Data. CoRR abs/2405.10211 (2024)- 2023
- [c32]Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn:
Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. AfricaNLP 2023 - 2022
- [j7]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: 101275 (2022) - 2021
- [j6]Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl:
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access 9: 83355-83363 (2021) - 2020
- [c31]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: 13628-13629 - [c30]Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze:
Early detection of plant diseases using spectral data. APPIS 2020: 26:1-26:6 - [c29]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: 303-309 - [c28]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: 331-332 - [i7]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 abs/2001.10685 (2020)
2010 – 2019
- 2019
- [c27]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: 3475-3479 - 2018
- [c26]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: 14:1-14:11 - [c25]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: 2608-2612 - [c24]Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler:
Automatic Speech Recognition for Humanitarian Applications in Somali. SLTU 2018: 20-24 - [c23]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: 182-186 - [i6]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 abs/1806.09374 (2018) - [i5]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 abs/1807.08666 (2018) - [i4]Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler:
Automatic Speech Recognition for Humanitarian Applications in Somali. CoRR abs/1807.08669 (2018) - [i3]Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler:
Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders. CoRR abs/1811.08284 (2018) - 2017
- [c22]Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler:
Radio-browsing for developmental monitoring in Uganda. ICASSP 2017: 5795-5799 - [c21]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: 2118-2122 - 2016
- [c20]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: 271-281 - [i2]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 abs/1608.02989 (2016) - 2015
- [c19]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 - [c18]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: 95-110 - 2014
- [j5]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): 1169-1197 (2014) - [j4]John A. Quinn, Masashi Sugiyama:
A least-squares approach to anomaly detection in static and sequential data. Pattern Recognit. Lett. 40: 36-40 (2014) - 2013
- [c17]Richard Ssekibuule, John A. Quinn, Kevin Leyton-Brown:
A mobile market for agricultural trade in Uganda. ACM DEV (4) 2013: 9:1-9:10 - [c16]Rose Nakibuule, Joseph Ssenyange, John A. Quinn:
Low cost video-based traffic congestion monitoring using phones as sensors. ACM DEV (3) 2013: 52:1-52:2 - [c15]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: 596-611 - [i1]John A. Quinn, Masashi Sugiyama:
Density Ratio Hidden Markov Models. CoRR abs/1302.3700 (2013) - 2012
- [j3]John Aldo Lee, Petra Schneider, John A. Quinn:
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing 90: 1-2 (2012) - [c14]Martin Gordon Mubangizi, Caterine Ikae, Athina Spiliopoulou, John A. Quinn:
Coupling Spatiotemporal Disease Modeling with Diagnosis. AAAI 2012: 342-348 - 2011
- [j2]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): 1429-1435 (2011) - [c13]John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze:
Modeling and Monitoring Crop Disease in Developing Countries. AAAI 2011: 1390-1395 - [c12]Ernest Mwebaze, John A. Quinn, Michael Biehl:
Causal relevance learning for robust classification under interventions. ESANN 2011 - [c11]John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl:
Learning of causal relations. ESANN 2011 - 2010
- [c10]Ernest Mwebaze, Washington Okori, John Alexander Quinn:
Causal Structure Learning for Famine Prediction. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c9]John Alexander Quinn, Rose Nakibuule:
Traffic Flow Monitoring in Crowded Cities. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c8]John A. Quinn, Washington Okori, Anthony Gidudu:
Increased-specificity famine prediction using satellite observation data. ACM DEV 2010: 18 - [c7]Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn:
Automated Vision-Based Diagnosis of Cassava Mosaic Disease. ICDM (Workshops) 2010: 114-122 - [c6]Ernest Mwebaze, John A. Quinn:
Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment 2010: 203-214
2000 – 2009
- 2009
- [j1]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): 1537-1551 (2009) - [c5]Nathan Eagle, Aaron Clauset, John A. Quinn:
Location Segmentation, Inference and Prediction for Anticipatory Computing. AAAI Spring Symposium: Technosocial Predictive Analytics 2009: 20-25 - [c4]Nathan Eagle, John A. Quinn, Aaron Clauset:
Methodologies for Continuous Cellular Tower Data Analysis. Pervasive 2009: 342-353 - 2008
- [c3]John A. Quinn, Christopher K. I. Williams:
Signal masking in Gaussian channels. ICASSP 2008: 2989-2992 - 2007
- [c2]John A. Quinn, Christopher K. I. Williams:
Known Unknowns: Novelty Detection in Condition Monitoring. IbPRIA (1) 2007: 1-6 - 2005
- [c1]Christopher K. I. Williams, John A. Quinn, Neil McIntosh:
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. NIPS 2005: 1513-1520
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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