Journal and conference papers

J.A. Quinn and R. Nakibuule. Traffic Flow Monitoring in Crowded Cities, AAAI Spring Symposium on Artificial Intelligence for Development, 2010.
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E. Mwebaze, W. Okori and J.A. Quinn. Causal Structure Learning for Famine Prediction, AAAI Spring Symposium on Artificial Intelligence for Development, 2010.
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J.A. Quinn, C.K.I. Williams and N. McIntosh. Factorial Switching Linear Dynamical Systems applied to Physiological Monitoring, IEEE Transactions on Pattern Analysis and Machine Intelligence 31(9):1537-51, 2009.
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M. Mubangizi, E. Mwebaze and J.A. Quinn. Computational Prediction of Cholera Outbreaks, Int Conf Computing and ICT Research, Kampala, 2009.
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N. Eagle, J.A. Quinn and A. Clauset. Methodologies for Continuous Cellular Tower Data Analysis, Seventh International Conference on Pervasive Computing, 2009.
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N. Eagle, A. Clauset. and J.A. Quinn. Location Segmentation, Inference and Prediction for Anticipatory Computing, AAAI Spring Symposium on Technosocial Predictive Analytics, Stanford, 2009.
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E. Mwebaze and J.A. Quinn. Fast Committee-Based Structure Learning, NIPS Workshop on Causality, 2008. Honourable mention at the workshop challenge for "significant advance on the REGED dataset".
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J.A. Quinn and C.K.I. Williams. Signal Masking in Gaussian Channels, IEEE International Conference on Acoustics, Speech and Signal Processing, 2008.
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C. Fox and J. Quinn. How to be Lost: Principled Pruning and Priming with Particles for Score Following, Proc International Computer Music Conference (ICMC) 2007.
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J.A. Quinn. Bayesian Condition Monitoring in Neonatal Intensive Care. PhD thesis, University of Edinburgh, 2007.
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J.A. Quinn and C.K.I. Williams. Known Unknowns: Novelty Detection in Condition Monitoring, Invited paper in Proc 3rd Iberian Conference on Pattern Recognition and Image Analysis, 2007, Springer LNCS.
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C.K.I. Williams, J.A. Quinn, N. McIntosh. Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care, Advances in Neural Information Processing Systems 18, 2006, MIT Press.
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A.S. Law, Y. Freer, J.R.W. Hunter, R.H. Logie, N. McIntosh, J.A. Quinn. A Comparison of Graphical and Textual Presentations of Time Series Data to Support Medical Decision Making in the Neonatal Intensive Care Unit, Journal of Clinical Monitoring and Computing 19;183-194, 2005.
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Other things

Interview on BBC Radio Scotland about computerised neonatal monitoring, May 2007.
mp3 (4:30 mins, 4Mb).

J.A. Quinn, C.K.I Williams, N. McIntosh, B. Wefers. Automatic identification of clinicially significant changes in the vital signs of neonates. Poster at Europediatrics, 2006, Barcelona.
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Poster about fingerprint recognition in the neonatal intensive care unit (Meeting of the European Society for Pediatric Research, 2003, Bilbao).
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