| A mutation in a case of early onset narcolepsy and a generalized absence of hypocretin peptides in human narcoleptic brains C Peyron, J Faraco, W Rogers, B Ripley, S Overeem, Y Charnay, ... Nature medicine 6 (9), 991-997, 2000 | 2273 | 2000 |
| Characteristics and tectonic significance of supra-subduction zone ophiolites JA Pearce, SJ Lippard, S Roberts Geological Society, London, Special Publications 16 (1), 77-94, 1984 | 1786 | 1984 |
| Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection M Little, P Mcsharry, S Roberts, D Costello, I Moroz Nature Precedings, 1-1, 2007 | 912 | 2007 |
| Conservative q-learning for offline reinforcement learning A Kumar, A Zhou, G Tucker, S Levine Advances in Neural Information Processing Systems 33, 1179-1191, 2020 | 831 | 2020 |
| Gaussian processes for time-series modelling S Roberts, M Osborne, M Ebden, S Reece, N Gibson, S Aigrain Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013 | 615 | 2013 |
| Overlapping community detection using Bayesian non-negative matrix factorization I Psorakis, S Roberts, M Ebden, B Sheldon Physical Review E 83 (6), 066114, 2011 | 445 | 2011 |
| Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle-and high-income countries BJA: British Journal of Anaesthesia 117 (5), 601-609, 2016 | 428 | 2016 |
| Independent component analysis: principles and practice S Roberts, R Everson Cambridge University Press, 2001 | 423 | 2001 |
| Stochastic complexity measures for physiological signal analysis IA Rezek, SJ Roberts IEEE Transactions on Biomedical Engineering 45 (9), 1186-1191, 1998 | 410 | 1998 |
| Bayesian approaches to Gaussian mixture modeling SJ Roberts, D Husmeier, I Rezek, W Penny IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11), 1133 …, 1998 | 396 | 1998 |
| A review of parametric modelling techniques for EEG analysis J Pardey, S Roberts, L Tarassenko Medical engineering & physics 18 (1), 2-11, 1996 | 389 | 1996 |
| Arterial blood pressure responses to graded transient arousal from sleep in normal humans RJ Davies, PJ Belt, SJ Roberts, NJ Ali, JR Stradling Journal of Applied Physiology 74 (3), 1123-1130, 1993 | 383 | 1993 |
| A tutorial on variational Bayesian inference CW Fox, SJ Roberts Artificial intelligence review 38, 85-95, 2012 | 339 | 2012 |
| Gaussian processes for global optimization MA Osborne, R Garnett, SJ Roberts 3rd international conference on learning and intelligent optimization (LION3 …, 2009 | 328 | 2009 |
| EEG-based communication: a pattern recognition approach WD Penny, SJ Roberts, EA Curran, MJ Stokes IEEE transactions on Rehabilitation Engineering 8 (2), 214-215, 2000 | 324 | 2000 |
| A Gaussian process framework for modelling stellar activity signals in radial velocity data V Rajpaul, S Aigrain, MA Osborne, S Reece, S Roberts Monthly Notices of the Royal Astronomical Society 452 (3), 2269-2291, 2015 | 315 | 2015 |
| A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy NP Gibson, S Aigrain, S Roberts, TM Evans, M Osborne, F Pont Monthly notices of the royal astronomical society 419 (3), 2683-2694, 2012 | 311 | 2012 |
| A probabilistic resource allocating network for novelty detection S Roberts, L Tarassenko Neural Computation 6 (2), 270-284, 1994 | 307 | 1994 |
| Micro-XRF core scanning in palaeolimnology: recent developments SJ Davies, HF Lamb, SJ Roberts Micro-XRF Studies of Sediment Cores: Applications of a non-destructive tool …, 2015 | 298 | 2015 |
| Reality mining of animal social systems J Krause, S Krause, R Arlinghaus, I Psorakis, S Roberts, C Rutz Trends in ecology & evolution 28 (9), 541-551, 2013 | 281 | 2013 |
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
