| Modelling the response of vascular tumours to chemotherapy: a multiscale approach HM Byrne, MR Owen, T Alarcon, J Murphy, PK Maini Mathematical Models and Methods in Applied Sciences 16 (supp01), 1219-1241, 2006 | 79 | 2006 |
| Bayesian intent prediction in object tracking using bridging distributions BI Ahmad, JK Murphy, PM Langdon, SJ Godsill IEEE transactions on cybernetics 48 (1), 215-227, 2016 | 41 | 2016 |
| Intent inference for hand pointing gesture-based interactions in vehicles BI Ahmad, JK Murphy, PM Langdon, SJ Godsill, R Hardy, L Skrypchuk IEEE transactions on cybernetics 46 (4), 878-889, 2015 | 38 | 2015 |
| Individual asset liability management EA Medova, JK Murphy, AP Owen, K Rehman Quantitative Finance 8 (6), 547-560, 2008 | 33 | 2008 |
| Forecasting high-frequency futures returns using online Langevin dynamics HL Christensen, J Murphy, SJ Godsill IEEE Journal of Selected Topics in Signal Processing 6 (4), 366-380, 2012 | 32 | 2012 |
| Intelligent interactive displays in vehicles with intent prediction: A Bayesian framework BI Ahmad, JK Murphy, S Godsill, PM Langdon, R Hardy IEEE Signal Processing Magazine 34 (2), 82-94, 2017 | 30 | 2017 |
| Joint Bayesian removal of impulse and background noise J Murphy, S Godsill 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 22 | 2011 |
| Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference BI Ahmad, J Murphy, PM Langdon, SJ Godsill 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | 20 | 2014 |
| Destination inference using bridging distributions BI Ahmad, J Murphy, PM Langdon, R Hardy, SJ Godsill 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 15 | 2015 |
| Risk profiling defined benefit pension schemes MAH Dempster, M Germano, EA Medova, JK Murphy, D Ryan, F Sandrini Journal of Portfolio Management 35, 76--93, 2009 | 14 | 2009 |
| Benders, nested benders and stochastic programming: An intuitive introduction J Murphy arXiv preprint arXiv:1312.3158, 2013 | 13 | 2013 |
| Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles BI Ahmad, J Murphy, PM Langdon, SJ Godsill 17th International Conference on Information Fusion (FUSION), 1-7, 2014 | 8 | 2014 |
| Bayesian inference of task-based functional brain connectivity using Markov Chain Monte Carlo methods MF Ahmad, J Murphy, D Vatansever, EA Stamatakis, SJ Godsill IEEE Journal of Selected Topics in Signal Processing 10 (7), 1150-1159, 2016 | 7 | 2016 |
| Road-assisted multiple target tracking in clutter J Murphy, S Godsill 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 6 | 2014 |
| Hidden states, hidden structures: Bayesian learning in time series models JK Murphy University of Cambridge, 2014 | 6 | 2014 |
| Image-based classification of gps noise level using convolutional neural networks for accurate distance estimation J Murphy, Y Pao, A Haque Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning …, 2017 | 5 | 2017 |
| Sparse structure inference for group and network tracking J Murphy, E Ozkan, P Bunch, SJ Godsill 2016 19th International Conference on Information Fusion (FUSION), 1208-1214, 2016 | 5 | 2016 |
| Bayesian learning of degenerate linear Gaussian state space models using Markov chain Monte Carlo P Bunch, J Murphy, S Godsill IEEE Transactions on Signal Processing 64 (16), 4100-4112, 2016 | 4 | 2016 |
| Blocked particle Gibbs schemes for high dimensional interacting systems J Murphy, SJ Godsill IEEE Journal of Selected Topics in Signal Processing 10 (2), 328-342, 2015 | 4 | 2015 |
| Structure inference for networks with general non-parametric inter-object relationships J Murphy, S Godsill 2012 15th International Conference on Information Fusion, 2193-2200, 2012 | 4 | 2012 |
Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
