John A. Quinn - RankMe

46 papers A* 2A 3B 2C 2Misc 2Journal 17Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	How much speech data is necessary for ASR in African languages? An evaluation of data scaling in Kinyarwanda and Kikuyu. CoRR Benjamin Akera, Evelyn Nafula, Patrick Walukagga, Gilbert Yiga, John A. Quinn, Ernest Mwebaze
2025	J	`jnl`	Sunflower: A New Approach To Expanding Coverage of African Languages in Large Language Models. CoRR Benjamin Akera, Evelyn Nafula Ouma, Gilbert Yiga, Patrick Walukagga, Phionah Natukunda, Trevor Saaka, Solomon Nsumba, Lilian Teddy Nabukeera, Joel Muhanguzi, Imran Sekalala, Nimpamya Janat Namara, Engineer Bainomugisha, Ernest Mwebaze, John A. Quinn
2024	J	`jnl`	Building a Luganda Text-to-Speech Model From Crowdsourced Data. CoRR Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John A. Quinn
2023	—	`conf`	Multilingual Model and Data Resources for Text-To-Speech in Ugandan Languages. AfricaNLP Isaac Owomugisha, Benjamin Akera, Ernest Mwebaze, John A. Quinn
2022	J	`jnl`	Feature learning for efficient ASR-free keyword spotting in low-resource languages. Comput. Speech Lang. Ewald van der Westhuizen, Herman Kamper, Raghav Menon, John A. Quinn, Thomas Niesler
2021	J	`jnl`	Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
2020	C	`conf`	A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. COMPASS Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
2020	—	`conf`	Early detection of plant diseases using spectral data. APPIS Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze
2020	—	`conf`	Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning. CVPR Workshops Jeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana
2020	A*	`conf`	PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts. AAAI Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz
2020	J	`jnl`	PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts. CoRR Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz
2019	A	`conf`	Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders. INTERSPEECH Raghav Menon, Herman Kamper, Ewald van der Westhuizen, John A. Quinn, Thomas Niesler
2018	—	`conf`	ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages. SLTU Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler
2018	J	`jnl`	ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages. CoRR Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler
2018	J	`jnl`	Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders. CoRR Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler
2018	—	`conf`	Automatic Speech Recognition for Humanitarian Applications in Somali. SLTU Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler
2018	J	`jnl`	Automatic Speech Recognition for Humanitarian Applications in Somali. CoRR Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler
2018	C	`conf`	Designing and Evolving an Electronic Agricultural Marketplace in Uganda. COMPASS Neil Newman, Lauren Falcao Bergquist, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Craig McIntosh, John A. Quinn, Richard Ssekibuule
2018	A	`conf`	Fast ASR-free and Almost Zero-resource Keyword Spotting Using DTW and CNNs for Humanitarian Monitoring. INTERSPEECH Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler
2018	J	`jnl`	Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring. CoRR Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler
2017	Misc	`conf`	Radio-browsing for developmental monitoring in Uganda. ICASSP Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler
2017	A	`conf`	Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring. INTERSPEECH Armin Saeb, Raghav Menon, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler
2016	—	`conf`	Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics. MLHC John A. Quinn, Rose Nakasi, Pius K. B. Mugagga, Patrick Byanyima, William Lubega, Alfred Andama
2016	J	`jnl`	Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics. CoRR John A. Quinn, Rose Nakasi, Pius K. B. Mugagga, Patrick Byanyima, William Lubega, Alfred Andama
2015	—	`conf`	Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) Ricardo Andrade Pacheco, Martin Gordon Mubangizi, John A. Quinn, Neil D. Lawrence
2015	—	`conf`	Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes. AALTD@PKDD/ECML Ricardo Andrade Pacheco, Martin Gordon Mubangizi, John A. Quinn, Neil D. Lawrence
2014	J	`jnl`	A least-squares approach to anomaly detection in static and sequential data. Pattern Recognit. Lett. John A. Quinn, Masashi Sugiyama
2014	J	`jnl`	Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. Neural Comput. Song Liu, John A. Quinn, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama
2013	—	`conf`	A mobile market for agricultural trade in Uganda. ACM DEV (4) Richard Ssekibuule, John A. Quinn, Kevin Leyton-Brown
2013	J	`jnl`	Density Ratio Hidden Markov Models CoRR John A. Quinn, Masashi Sugiyama
2013	—	`conf`	Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. ECML/PKDD (2) Song Liu, John A. Quinn, Michael U. Gutmann, Masashi Sugiyama
2013	—	`conf`	Low cost video-based traffic congestion monitoring using phones as sensors. ACM DEV (3) Rose Nakibuule, Joseph Ssenyange, John A. Quinn
2012	J	`jnl`	Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing John Aldo Lee, Petra Schneider, John A. Quinn
2012	A*	`conf`	Coupling Spatiotemporal Disease Modeling with Diagnosis. AAAI Martin Gordon Mubangizi, Caterine Ikae, Athina Spiliopoulou, John A. Quinn
2011	B	`conf`	Causal relevance learning for robust classification under interventions. ESANN Ernest Mwebaze, John A. Quinn, Michael Biehl
2011	J	`jnl`	Divergence-based classification in learning vector quantization. Neurocomputing Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl
2011	B	`conf`	Learning of causal relations. ESANN John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl
2010	—	`conf`	Automated Vision-Based Diagnosis of Cassava Mosaic Disease. ICDM (Workshops) Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn
2010	—	`conf`	Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment Ernest Mwebaze, John A. Quinn
2010	—	`conf`	Increased-specificity famine prediction using satellite observation data. ACM DEV John A. Quinn, Washington Okori, Anthony Gidudu
2009	J	`jnl`	Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring. IEEE Trans. Pattern Anal. Mach. Intell. John A. Quinn, Christopher K. I. Williams, Neil McIntosh
2009	—	`conf`	Location Segmentation, Inference and Prediction for Anticipatory Computing. AAAI Spring Symposium: Technosocial Predictive Analytics Nathan Eagle, Aaron Clauset, John A. Quinn
2009	—	`conf`	Methodologies for Continuous Cellular Tower Data Analysis. Pervasive Nathan Eagle, John A. Quinn, Aaron Clauset
2008	Misc	`conf`	Signal masking in Gaussian channels. ICASSP John A. Quinn, Christopher K. I. Williams
2007	—	`conf`	Known Unknowns: Novelty Detection in Condition Monitoring. IbPRIA (1) John A. Quinn, Christopher K. I. Williams
2005	—	`conf`	Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. NIPS Christopher K. I. Williams, John A. Quinn, Neil McIntosh