Publications

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2017

G. Colopy, M. Pimental, S. Roberts, D. Clifton (2017)
Bayesian Optimisation of Gaussian Processes for Identifying the Deteriorating Patient.
To appear in Proceedings of BHI 2017.
S. Rizvi, E. van Heerden, A. Salas, F. Nyikosa, S. Roberts, M. Osborne and E. Rodriguez (2017).
Identifying Sources of Discrimination Risk in the Life Cycle of Machine Intelligence Applications under New European Union Regulations.
To appear in AAAI 2017 Spring Symposium on Artificial Intelligence for Social Good, Stanford, March 2017.

2016

E. van Heerden, A. Karastergiou and S. Roberts (2016).
A Framework for Assessing the Performance of Pulsar Search Pipelines.
Monthly Notices of the Royal Astronomical Society 2016. doi: 10.1093/mnras/stw3068
S. Ramchurn, S. Reece, E. Simpson, T. Huynh, T. Rodden, S. Roberts, L. Moreau and N. Jennings (2016)
A Disaster Response System based on Human-Agent Collectives.
Journal of AI Research, 57 (2016) 661-708.
Y.L. Kom Samo and S. Roberts. (2016).
String and Membrane Gaussian Processes.
Journal of Machine Learning Research. Vol 17, 2016.
J.K. Fitzsimons, M. Osborne, S. Roberts and J.F. Fitzsimons (2016).
Improved stochastic trace estimation using mutually unbiased bases.
ArXiv 1608.00117.
I. Almosallam, M. Jarvis and S. Roberts (2016).
GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshift.
Monthly Notices of the Royal Astronomical Society 2016. doi: 10.1093/mnras/stw1618
C. Lloyd, T. Gunter, M. Osborne, S. Roberts and T. Nickson (2016).
Latent Point Process Allocation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, pp. 389-397, 2016
G. Calopy, M. Pimental, S. Roberts and D. Clifton (2016).
Bayesian Gaussian Processes for Identifying the Deteriorating Patient.
Proceedings of EMBC 2016.
S. Ghoshal and S. Roberts (2016).
Extracting Predictive Information from Heterogeneous Data Streams using Gaussian Processes.
Algorithmic Finance, vol. 5, no. 1-2, pp. 21-30, 2016. DOI: 10.3233/AF-160055.
N. Chancellor, S. Zohren, P. Warburton, S. Benjamin and S. Roberts (2016).
A Direct Mapping of Max k-SAT and High Order Parity Checks to a Chimera Graph.
Nature. 6:37107 | DOI: 10.1038/srep37107
P. Brook, A. Karastergiou, S. Johnston, M. Kerr, R. Shannon and S. Roberts (2016).
Emission-rotation correlation in pulsars: new discoveries with optimal techniques.
Monthly Notices of the Royal Astronomical Society 2016 456 (2): 1374-1393 doi: 10.1093/mnras/stv2715

2015

I. Almosallam, S. Lindsay, M. Jarvis and S. Roberts (2015).
A Sparse Gaussian Process Framework for Photometric Redshift Estimation.
Monthly Notices of the Royal Astronomical Society 2015 455 (3): 2387-2401 doi: 10.1093/mnras/stv2425.
F. Nyikosa, M. Osborne and S. Roberts (2015).
Adaptive Bayesian Optimisation for Online Portfolio Selection.
In Workshop on Bayesian Optimization at NIPS 2015.
V. Rajpaul, S. Aigrain and S. Roberts (2015).
Ghost in the time series: no planet for Alpha Cen B.
Monthly Notices of the Royal Astronomical Society. 456 (1), L6-L10.
Y.-L. Kom Samo, S. Roberts (2015).
p-Markov Gaussian Processes for Scalable and Expressive Online Bayesian Nonparametric Time Series Forecasting.
ArXiv 1510.02830
Y.-L. Kom Samo, S. Roberts (2015).
Generalized Spectral Kernels.
ArXiv 1506.02236
Y.-L. Kom Samo, S. Roberts (2015).
String Gaussian Processes.
ArXiv 1507.06977
T. Papadopoulos, S. Roberts and K. Willis (2015).
Detecting bird sound in unknown acoustic background using crowdsourced training data.
ArXiv Stat.ML/1251827.
A. Salas, S.J. Roberts, M.A. Osborne (2015).
A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression.
ArXiv 1509.02438
V. Rajpaul, S. Aigrain, M. Osborne, S. Reece and S. Roberts (2015).
A Gaussian process framework for modelling stellar activity signals in radial velocity data.
Monthly Notices of the Royal Astronomical Society 2015.
A. Karastergsiou et al. (2015).
Limits on Fast Radio Bursts at 145 MHz with ARTEMIS, a real-time software backend.
Monthly Notices of the Royal Astronomical Society 2015.
C. Lloyd, T. Gunter, M. Osborne and S. Roberts. (2015).
Variational Inference for Gaussian Process Modulated Poisson Processes.
Proceedings of ICML 2015. pp. 389-397. http://jmlr.org/proceedings/papers/v51/lloyd16.html
Y-L. Kom Samo and S. Roberts. (2015).
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes.
Proceedings of ICML 2015.
I. Almosallam, S. Lindsay, M. Jarvis and S. Roberts. (2015).
A Sparse Gaussian Process Framework for Photometric Redshift Estimation.
ArXiv 1505.05489
S. Ramchurn, T.D. Huynh, Y. Ikuno, J. Flann, F. Wu, L. Moreau, N. Jennings, J. Fischer, W. Jiang, T. Rodden, E. Simpson, S. Reece and S. Roberts (2015).
HAC-ER: A Disaster Response System based on Human-Agent Collectives"
AAMAS-2015 Best Paper Award
I. Psorakis et al. (2015).
Inferring social structure from temporal data.
Behavioral Ecology and Sociobiology.
E. Simpson, M. Venanzi, P. Kohli, J. Guiver, S. Reece, S. Roberts, N. Jennings (2015).
Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning
Proceedings of the 24th International World Wide Web Conference.
E. Simpson, S. Roberts (2015).
Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems
Scalable Decision Making: Uncertainty, Imperfection, Deliberation and Scalability, Studies in Computational Intelligence, Springer, p. 1-32.
M. Ebden, T.D. Huynh, L. Moreau, and S. Roberts (2015).
Incentive Engineering through Subgraph Matching - with Application to Task Allocation.
Fourth International Workshop on Human Agent Interaction Design and Models, AAMAS, Istanbul, 4 May 2015.
S. Aigrain, S. T. Hodgkin, M. J. Irwin, J. R. Lewis and S. J. Roberts. (2015).
Precise time-series photometry for the Kepler-2.0 mission.
Monthly Notices of the Royal Astronomical Society.

2014

Y-L. Kom Samo, S. Roberts (2014).
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes.
arXiv, October 2014.
Gunter, T., Lloyd, C., Osborne, M. A., & Roberts, S. J. (2014).
Efficient Bayesian Nonparametric Modelling of Structured Point Processes.
In Proceedings of Uncertainty in Artificial Intelligence (UAI).
Gunter, T., Osborne, M. A., Garnett, R., Hennig, P., & Roberts, S. J. (2014).
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature.
Advances in Neural Information Processing Systems (NIPS) 2014.
N. Jennings, L. Moreau, D. Nicholson, S. Ramchurn, S. Roberts, T. Rodden and A. Rogers (2014).
Human-Agent Collectives.
Communications of the ACM, vol. 57, N. 12. DOI:10.1145/2629559.
T. Nickson, M. Osborne, S. Reece, S. Roberts (2014).
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning.
arXiv:1407.7969 [stat.ML].
S. Reece, S. Roberts, S. Ghosh, A. Rogers, N. Jennings. (2014).
Efficient State-Space Inference of Periodic Latent Force Models.
Journal of Machine Learning Research. vol 15, 2337-2397.
N. Gillani, R. Eynon, M. Osborne, I. Hjorth and S. Roberts. (2014).
Communication Communities in MOOCs.
arXiv 1403.4640.
A. Levenberg, S. Pulman, K. Moilanen, E. Simpson, S. Roberts (2014).
Predicting Economic Indicators from Web Text Using Sentiment Composition.
Proceedings of ICICA-2014. Best paper award
J. Calliess, M. Osborne and S.J. Roberts. (2014).
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and state.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS2014)
J. Calliess, M. Osborne and S.J. Roberts. (2014).
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and state.
Technical report & supplementary material.

2013

J. Krause, S. Krause, R. Arlinghaus, I. Psorakis, S. Roberts, C. Rutz. (2013).
Reality mining of animal social systems.
Trends in Ecology and Evolution. 07/2013; DOI: 10.1016/j.tree.2013.06.002
A. Levenberg, E. Simpson, S. Roberts and G. Gottlob (2013).
Economic Prediction using Heterogeneous Data Streams from the World Wide Web.
ECML workshop on Scalable Methods in Decision Making.
J. Calliess, M. Osborne and S.J. Roberts. (2013).
Nonlinear adaptive hybrid control by combining Gaussian process system identification with classical control laws.
Novel Methods for Learning and Optimization of Control Policies and Trajectories for Robotics, ICRA, 2013.
J. Calliess, A. Papachristodoulou, S.J. Roberts (2013).
Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems.
Advances in Machine Learning for Sensorimotor Control, NIPS, 2013. arXiv (longer) version.
P. Brook, A. Karastergiou, S. Buchner, S. Roberts, M. Keith, S. Johnston and R. Shannon(2013).
Evidence of an asteroid encountering a pulsar.
The Astrophysical Journal (to appear). ArXiv version.
S. Roberts, A. McQuillan, S. Reece and S. Aigrain (2013).
Astrophysically robust systematics removal using variational inference: application to the first month of Kepler data.
Monthly Notices of the Royal Astronomical Society. doi: 10.1093/mnras/stt1555. ArXiv version.
N. Shah and S.J. Roberts (2013).
Dynamically Measuring Statistical Dependencies in Multivariate Financial Time Series Using Independent Component Analysis.
ISRN Signal Processing. Article 434832. May 2013.
J. Calliess, M. Osborne and S.J. Roberts (2013).
Multi-agent planning with mixed-integer programming and adaptive interaction constraint generation.
Sixth Annual Symposium on Combinatorial Search, SoCS 2013.
I. Psorakis, I. Rezek, Z. Frankel and S.J. Roberts (2013).
Discovering latent association structure via Bayesian one-mode projection of temporal bipartite graphs.
International Conference on Machine Learning and Data Mining, MLDM-13 (to appear).
S. D. Ramchurn, M. A. Osborne, O. Parson, T. Rahwan, S. Maleki, S. Reece, T. D. Huynh, M. Alam, J. Fischer, T. Rodden, L. Moreau, S. J. Roberts (2013)
AgentSwitch: towards smart electricity tariff selection,
12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), Saint Paul, USA, 6 - 10 May 2013.
E. Simpson, S. Roberts, I. Psorakis and A. Smith (2013).
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Decision Making and Imperfection. Intelligent Systems Reference Library series Vol 474. Springer.
M. Dawkins, R. Cain, K. Merelie, S. Roberts (2013).
In search of Behavioural Correlates of Optical Flow Patterns in the Automated Assessment of Broiler Chicken Welfare. Applied Animal Behaviour Science.
M. Smith, S. Reece, I. Psorakis, I. Rezek, S. Roberts (2013).
Maritime Abnormality Detection using Gaussian Processes.
Knowledge and Information Systems, July 2013.

2012

M. A. Osborne, D. Duvenaud, R. Garnett, Carl E. Rasmussen, S. J. Roberts, Z. Ghahramani (2012).
Active learning of model evidence using Bayesian quadrature
Advances in Neural Information Processing Systems 26 (NIPS 2012), December 2012, Lake Tahoe, USA.
I. Psorakis, I. Rezek, Z. Frankel and S. J. Roberts (2012).
Bayesian one-mode projection for dynamic bipartite graphs
arXiv:1212.2767, 2012.
M. Smith, S. Reece, S. Roberts and I. Rezek (2012).
Online Maritime Abnormality Detection using Gaussian Processes and Extreme Value Theory
IEEE International Conference on Data Mining, 2012. Best paper award
S. Roberts, M. Osborne, M. Ebden, S. Reece, N. Gibson and S. Aigrain (2012).
Gaussian Processes for Timeseries Modelling
Philosophical Transactions of the Royal Society (Part A). Published online December 31, 2012 doi: 10.1098/rsta.2011.0550, Phil. Trans. R. Soc. A 13 February 2013 vol. 371 no. 1984 20110550
J. Calliess, M. Osborne and S. Roberts (2012).
Towards auction-based multi-agent collision-avoidance under continuous stochastic dynamics
ICML-12 Workshop on Markets, Mechanisms, and Multi-Agent Models, July 2012.
S. Roberts, R. Cain and M. Dawkins (2012).
Prediction of welfare outcomes for broiler chickens using Bayesian regression on continuous optical flow data
Journal of the Royal Society, Interface.
Nicholson, D., Reece, S., Rogers, A., Roberts, S. J., & Jennings, N. R. (2012).
Distributed Data Fusion Design: Overarching Design Concerns and Some New Approaches.
In D. Hall, C-Y. Chong & J. Llinas & M. Liggins (Eds.), Distributed Data Fusion for Network-Centric Operations (pp. 17-46). CRC Press.
M. Ebden, T.D. Huynh, L. Moreau, S. Ramchurn and S. Roberts (2012).
Network Analysis on Provenance Graphs from a Crowdsourcing Application
Proceedings of IPAW 2012, Springer LNCS.
I. Psorakis, S. Roberts, I. Rezek and B. Sheldon (2012).
Inferring social network structure in ecological systems from spatio-temporal data streams
Journal of the Royal Society, Interface.
J. Calliess, M. Osborne and S. Roberts (2012).
Towards optimization-based multi-agent collision-avoidance under continuous stochastic dynamics.
Proceedings of the AAAI-12 Workshop on Multiagent Pathfinding. Toronto, July 2012.
M. Osborne, R. Garnett, S. Roberts, C. Hart, S. Aigrain, and N. Gibson (2012).
Bayesian Quadrature for Ratios.
Proceedings of AISTATS 2012. An extended version is also available: Bayesian quadrature for ratios: now with even more Bayesian quadrature
A. McQuillan, S. Aigrain, and S. Roberts (2012).
Statistics of Stellar Variability from Kepler - I: Revisiting Quarter 1 with an Astrophysically Robust Systematics Correction. http://dx.doi.org/10.1051/0004-6361/201016148
Astronomy and Astrophysics. 539, A137
M. Dawkins, R. Cain and S. Roberts (2012).
Optical flow, flock behaviour and chicken welfare.
Animal Behaviour. 84(1), 219-223.

2011

E. Simpson, S. Roberts, I. Psorakis, A. Smith and C. Lintott (2011).
Bayesian Combination of Multiple, Imperfect Classifiers.
Proceedings of NIPS 2011 workshop.
E. Roussos, S. Roberts and I. Daubechies (2011).
Variational Bayesian Learning of Sparse Representations and its Application in Functional Neuroimaging.
Proceedings of NIPS 2011 workshop.
W. Armour, A. Karastergiou, M. Giles, C. Williams, A. Magro, K. Zagkouris, S. Roberts, S. Salvini, F. Dulwich and B. Mort (2011).
A GPU-based survey for millisecond radio transients using ARTEMIS.
Proceedings of ADASS XXI.
N. P. Gibson, S. Aigrain, S. Roberts, T. M. Evans, M. Osborne and F. Pont (2011).
A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy.
Monthly Notices of the Royal Astronomical Society.
M.A. Osborne, S.J. Roberts, A. Rogers, and N.R. Jennings (2011).
Real-Time Information Processing of Environmental Sensor Network Data using Bayesian Gaussian Processes
Transactions on Sensor Networks
I. Psorakis, S. Roberts, M. Ebden and B. Sheldon (2011).
Overlapping Community Detection using Bayesian Nonnegative Matrix Factorization.
Physical Review E. Online version available via http://pre.aps.org/abstract/PRE/v83/i6/e066114
S. Reece, S. Roberts, D. Nicholson and C. Lloyd (2011).
Determining intent using hard/soft data and Gaussian process classifiers.
Proceedings of Fusion 2011..
C. Fox and S. Roberts (2011).
A Tutorial on Variational Bayesian Inference.
Artificial Intelligence Review. Spinger. 38(2), 85-95. (DOI) 10.1007/s10462-011-9236-8
A. Karastergiou, S. J. Roberts, S. Johnston, H. Lee, P. Weltevrede and M. Kramer (2011).
A transient component in the pulse profile of PSR J0738-4042.
Monthly Notices of the Royal Astronomical Society.
doi:10.1111/j.1365-2966.2011.18697.x
J.W. Yoon, S. J. Roberts, M. Dyson and J. Gan (2011).
Bayesian Inference for an adaptive Ordered Probit model: an application to Brain Computer Interfacing.
Neural Networks, 24, 726-734.
M. Ebden and S. Roberts (2011).
Graph Marginalization for Rapid Assignment in Wide-area Surveillance.
Adhoc Networks Journal 9(2): 180-8.
H-J. Lee, S.J. Roberts, K.A. Drake, and M. Stamp Dawkins (2011).
Prediction of feather damage in laying hens using optical flows and Markov models.
Journal of the Royal Society Interface 8(57): 489-499.

2010

I. Psorakis, S. Roberts and B. Sheldon (2010).
Soft Partitioning in Networks via Bayesian Non-negative Matrix Factorization
NIPS 2010 Workshop "Networks Across Disciplines in Theory and Applications".
S. Reece, R. Mann, I. Rezek and S. Roberts (2010).
Gaussian Process Segmentation of Co-Moving Animals.
30th Intenational Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 10), Chamonix, France, July 4-9, 2010.
I. Psorakis, S. Roberts, B. Sheldon (2010).
Efficient Bayesian Community Detection using Non-negative Matrix Factorisation.
arXiv:1009.2646 PARG-10-02.
I. Psorakis, T. Damoulas, M. A. Girolami (2010).
Multiclass Relevance Vector Machines: Sparsity and Accuracy.
IEEE Transactions on Neural Networks, Vol. 21, No 10, pp. 1588-1598.
L. Pickup, D. Capel, S. Roberts, A. Zisserman (2010).
Multiframe Super-Resolution from a Bayesian Perspective.
In Super-Resolution Imaging, Chapter 9, pages 247-284, CRC Press.
R. Mann, R. Freeman, M. Osborne, R. Garnett, C. Armstrong, J. Meade, D. Biro, T. Guilford and S. Roberts (2010).
Objectively identifying landmark use and predicting flight trajectories of the homing pigeon using Gaussian processes
Journal of the Royal Society, Interface. 8(55), 210-219.
M. Kaufman and S. Roberts (2010).
Coordination vs. Information in Multi-agent Decision Processes.
AAMAS 2010.
R. McInerney, S. Roberts and I. Rezek (2010).
Sequential Bayesian Decision Making for Multi-armed Bandit.
AAMAS 2010.
S. Reece and S. Roberts (2010).
The Near Constant Acceleration Gaussian Process Kernel for Tracking.
IEEE Signal Processing Letters.
M. Ebden, A. Stranjak and S. Roberts (2010).
Visualizing Uncertainty in Reliability Functions with Application to Aero Engine Overhaul.
Journal of the Royal Statistical Society C. Volume 59, part 1 (2010), pages 163-173.
S. Reece and S. J. Roberts (2010).
An Introduction to Gaussian Processes for the Kalman Filter Expert.
Proceedings of Fusion 2010..
R. Garnett, M. A. Osborne, S. J. Roberts (2010).
Bayesian Optimization for Sensor Set Selection,
IPSN 2010, Stockholm.
R. Garnett, M. A. Osborne, S. Reece, A. Rogers and S. J. Roberts (2010).
Sequential Bayesian Prediction in the Presence of Changepoints and Faults,
The Computer Journal.
M. A. Osborne, R. Garnett, and S. J. Roberts (2010)
Active data selection for sensor networks with faults and changepoints.
IEEE 24th International Conference on Advanced Information Networking and Applications (AINA 2010), April 2010, Perth, Australia.
M. A. Osborne and R. Garnett and S. J. Roberts (2010).
Sampling for Bayesian Quadrature , Technical Report PARG-10-01.
J. W. Yoon and S. Roberts (2010).
Robust Measurement Validation in Target Tracking using Geometric Structure.
IEEE Signal Processing Letters.
doi link
M. Ebden and S. Roberts (2010).
Graph Marginalization for Rapid Assignment in Wide-area Surveillance.
In: International Conference on Ad Hoc Networks, Niagara Falls, Canada, 23-25 September 2009.
LNICST (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) 28: 691-703, 2010.
S. M. Lee and S. Roberts (2010).
Sequential Dynamic Classification Using Latent Variable Models.
The Computer Journal 2010; doi: 10.1093/comjnl/bxp127
D. Lowne, S. Roberts and R. Garnett (2010).
Sequential Non-stationary Dynamic Classification with Sparse Feedback.
Pattern Recognition. Volume 43, Issue 3, March 2010, Pages 897-905.

2009

R. Mann, R. Freeman, M. A. Osborne, R. Garnett, J. Meade, C. Armstrong, D. Biro, T. Guilford and S. J. Roberts (2009)
Gaussian Processes for Prediction of Homing Pigeon Flight Trajectories,
Bayesian Inference and Maximum Entropy Methods in Science and Engineering, AIP Conf. Proc., Ann Arbor. July, 2009.
R. Garnett, M. A. Osborne and S. J. Roberts (2009)
Sequential Bayesian prediction in the presence of changepoints
In: 26th International Conference on Machine Learning (ICML 2009), June 2009, Montreal, Canada.
M. A. Osborne, R. Garnett and S. J. Roberts (2009)
Gaussian processes for Global Optimization.
In: 3rd International Conference on Learning and Intelligent Optimization (LION3), January 2009, Trento, Italy.
J.W. Yoon, S. Roberts, M. Dyson and J. Gan (2009).
Adaptive Classification for Brain Computer Interface systems using Sequential Monte Carlo Sampling.
Neural Networks: Special Issue on Brain Machine Interfaces. Vol 22. p1286-1294.
M. Dawkins, H-J Lee, C. Waitt and S. Roberts (2009).
Optical flow patterns in broiler chicken flocks as automated measures of behaviour and gait.
Applied Animal Behaviour Science 119 p203-209.
S. Reece, S. Roberts, C. Claxton & D. Nicholson. (2009).
Multi-sensor fault recovery in the presence of known and unknown fault types.
Proceedings of Fusion 2009.
T. Guilford, J. Meade, J. Willis, R.A. Phillips, D. Boyle, S. Roberts, M. Collett, R. Freeman & C.M. Perrins. (2009).
Analysing the migratory movements of a small pelagic seabird, the Manx Shearwater Puffinus puffinus.
Proceedings of the Royal Society B.
C.S.L. Tsui, J.Q. Gan and S.J. Roberts (2009).
A Self-paced Brain-Computer Interface for Controlling a Robot Simulator: An Online Event Labelling Paradigm and an Extended Kalman Filter Based Algorithm for Online Training.
Medical and Biological Engineering and Computing. vol 47, num 3. p257-265.
S. Reece, R. Garnett, M. Osborne and S. Roberts (2009).
Anomaly Detection and Removal using Non-Stationary Gaussian Processes.
Technical Report PARG-2009-1.

2008

J.W. Yoon, S.J. Roberts, M. Dyson and J. Gan (2008).
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.
Intelligent Data Engineering and Automated Learning - IDEAL 2008. Lecture Notes in Computer Science, Vol 5326/2008, 370-377. Springer.
I. Rezek, D. Leslie, S. Reece, S. Roberts, A. Rogers, R. Dash and N. Jennings (2008).
On Similarities between Inference in Game Theory and Machine Learning.
Journal of Artificial Intelligence Research, Vol 33, 259-283.
S.M. Lee and S.J. Roberts (2008).
Multivariate Time Series Forecasting in Incomplete Environments.
Technical Report PARG-08-03.
S.M. Lee and S.J. Roberts (2008).
Sequential Dynamic Classification using Latent Variable Models.
Technical Report PARG-08-02.
H.J. Lee and S.J. Roberts (2008).
On-line Novelty Detection Using the Kalman Filter and Extreme Value Theory.
Proceedings of International Conference on Pattern Recognition, ICPR 2008.
N. Shah and S.J. Roberts (2008).
Hidden Markov Independent Component Analysis as a Measure of Coupling in Multivariate Financial Time Series.
Proceedings of ICA Research Network International Workshop 2008.
M. Ebden, M. Briers and S. Roberts (2008).
Decentralized Predictive Sensor Allocation.
Proceedings of IEEE Conference on Decision and Control, Dec. 2008, 1702-1707.
J.W. Yoon, S. Roberts, M.Dyson, J. Gan (2008).
Sequential Bayesian Estimation for Adaptive Classification
Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008)
R. Garnett and S.J. Roberts (2008).
Learning from Data Streams with Concept Drift.
Technical Report PARG-08-01.
N.M. Adams M. Field, E. Gelenbe, D.J. Hand, N.R. Jennings, D.S. Leslie, D. Nicholson, S.D. Ramchurn, S.J. Roberts, A. Rogers. (2008).
The ALADDIN Project: Intelligent Agents for Disaster Management.
Proceedings of RISE-08.
A. Stranjak, P. Dutta, M. Ebden, A. Rogers, and P. Vytelingum (2008).
A Multi-agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul.
In: the Seventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS '08), Estoril, Portugal, May 2008. 81-88.
S. Reece and S. Roberts (2008).
Generalised Covariance Union: A Unified Approach to Hypothesis Merging in Tracking.
IEEE Transactions on Aerospace and Electronic Systems. 46(1), 207-221.
T. Guilford, J. Meade, R. Freeman, D. Biro, T. Evans, F. Bonadonna, D. Boyle, S. Roberts, C Perrins (2008).
GPS tracking of the foraging movements of Manx Shearwaters Puffinus puffinus breeding on Skomer Island, Wales.
Ibis, 150(3), 462-473.
C. Fox and S. Roberts (2008).
ThomCat: A Bayesian Blackboard model of Hierarchical Temporal Perception.
Proceedings of AAAI 2008.
M. Osborne, S. Roberts, A. Rogers, S. Ramchurn and N. Jennings (2008).
Towards Real-Time Information Processing of Sensor Network Data using Computationally Efficient Multi-output Gaussian Processes.
Proceedings of IPSN'08, 109-120.
A. Rogers, M. A. Osborne, S. D. Ramchurn, S. J. Roberts and N. R. Jennings (2008).
Information Agents for Pervasive Sensor Networks.
Proceedings of PerSens 2008.
C. Fox, I. Rezek and S.J. Roberts (2008).
Local Quantum Computing for Fast Probably MAP Inference in Graphical Models.
Proceedings of Second Quantum Interaction Symposium. Oxford, UK, April 2008.

2007

M. Osborne and S.J. Roberts (2007).
Gaussian Processes for Prediction.
Technical Report PARG-07-01.
L. Pickup, D. Capel, S. Roberts and A. Zisserman (2007).
Bayesian Methods for Image Super-Resolution.
The Computer Journal.
M.A. Little, P.E. McSharry, S.J Roberts, D.A.E. Costello, I.M. Moroz (2007).
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
BioMedical Engineering OnLine 2007, 6:23 (26 June 2007).
L. Pickup, D. Capel, S. Roberts and A. Zisserman (2007).
Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?
EURASIP Journal on Advances in Signal Processing.
C. Fox, I. Rezek and S. Roberts (2007).
Drum 'n' Bayes: On-Line Variational Inference for Beat Tracking and Rhythm Recognition.
Proceedings of the 2007 International Computer Music Conference.

I. Rezek, S.J. Roberts and R. Conradt (2007).
Generative Polyspectral Models for Depth of Anaesthesia Assessment.
Engineering in Medicine and Biology Magazine 26(2):64-73, 2007.
D. Biro, R. Freeman, J. Meade, S. Roberts and T. Guilford (2007).
Pigeons combine compass and landmark guidance in familiar route navigation.
Proceedings of the National Academy of Sciences (PNAS), 104(18), 7471-7476.
I. Proudler, S. Roberts, S. Reece and I. Rezek (2007).
An Iterative Signal Detection Algorithm based on Bayesian Belief Propagation Ideas.
Proceedings of DSP2007, July 2007, 355-358.
S. Reece, A. Rogers, S. Roberts and N. R. Jennings (2007).
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations.
Proceedings of Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), vol 1, 128-135.
S. Reece, A. Rogers, S. Roberts and N. R. Jennings (2007).
Rumours and Reputation: Evaluating Multi-Dimensional Trust within a Decentralised Reputation System.
Proceedings of AAMAS 07, num 165.

2006

L.C. Pickup, S.J. Roberts, and A. Zisserman (2006).
Optimizing and Learning for Super-resolution
Proceedings of the British Machine Vision Conference.
D.R. Lowne, I. Rezek and S.J. Roberts (2006).
Adaptive Classification of EEG Features with Sparse Feedback.
Proc. MAIA Brain Computer Interfaces Workshop 2006, Rome, Italy.
L.C. Pickup, D.P. Capel, S.J. Roberts, and A. Zisserman (2006).
Bayesian Image Super-Resolution, Continued
Advances in Neural Information Processing Systems, NIPS-06.
K. Lees,S. Roberts, P. Skamnioti and S. Gurr (2006).
Gene Microarray Analysis using Angular Distribution Decomposition.
Journal of Computational Biology. Vol 14(1), p68-83.
W. Addison and S. Roberts (2006).
Blind Source Separation with Non-stationary mixing using Wavelets.
6th International Conference on Independent Component Analysis and Blind Source Separation.
D. Lowne, C. Haw and S. Roberts (2006).
An adaptive, sparse-feedback EEG classifier for self-paced BCI.
Graz 2006 conference on Brain Computer Interfaces
C. Haw, D. Lowne and S. Roberts (2006).
User specific template matching for event detection using single channel EEG.
Graz 2006 conference on Brain Computer Interfaces
C. Orphanidou, I. Moroz and S. Roberts (2006).
Multiscale Voice Morphing using Radial Basis Function Analysis.
Algorithms for Approximation. Iske and Levesley (Eds.). Springer. pp 61-69.
S. Mukherjee and S. Roberts (2006).
A decision-theoretic analysis of differential gene expression.
Technical Report TR-PARG-06-01.
K.K. Lau, S. Roberts, D. Biro, R. Freeman, J. Meade and T. Guilford (2006).
An edge detection approach to investigating pigeon navigation.
Journal of Theoretical Biology.. Volume 239, Issue 1, 7 March 2006, Pages 71-78.
M. Little, P. McSharry, M. Moroz, and S. Roberts (2006).
Nonlinear, Biophysically-Informed Speech Pathology Detection.
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2006. Vol 2, 1080-1083.
M. Little, P. McSharry, M. Moroz, and S. Roberts (2006).
Testing the assumptions of linear prediction analysis in normal vowels
J. Acoust. Soc. Am. 119(1), 549-558..
A. Rogers, R.K. Dash, N.R. Jennings, S. Reece, and S. Roberts (2006).
Computational Mechanism Design for Information Fusion within Sensor Networks.
Ninth International Conference of Information Fusion, Florence, Italy, 2006.
A. Rogers, R.K. Dash, S. Reece, S. Roberts, and N.R. Jennings (2005).
Computational Mechanism Design for Multi-Sensor Information Fusion.
In Proceedings of the Fifth Joint International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), pp 1463-4, Hakodate, Japan, 2006

2005

M. Briers, S. R Maskell, S. Reece, S. Roberts, I. Rezek, V.D. Dang, A. Rogers, and N.R. Jennings (2005).
Dynamic sensor coalition formation to assist the distributed tracking of targets: Application to wide-area surveillance.
IEE Conference on Signal Processing Solutions for Homeland Security, 11 October 2005.
E. Roussos, S.J. Roberts, and I. Daubechies (2005).
Variational Bayesian Learning for Wavelet Independent Component Analysis.
AIP Conference Proceedings, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Vol. 803, Nov. 23, 2005, pp. 274-281.
I. Rezek, S.J. Roberts, E. Siva and R. Conradt (2005).
Depth of Anaesthesia Assessment with Generative Polyspectral Models .
Proc. 4th International Conference on Machine Learning and Applications, Los Angeles, USA.
I. Rezek, S.J. Roberts, A. Rogers, R.K. Dash and N.R. Jennings (2005).
Unifying Learning in Games and Graphical Models.
Proc. 8th International Conference on Information Fusion, Philadelphia, USA, July 2005.
I. Rezek and S. J. Roberts (2005).
Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis.
in Probabilistic Modeling in Biomedicine and Medical Bioinformatics, Eds Dirk Husmeier, Richard Dybowski, and Stephen Roberts, Springer Verlag, 2005
P. Sykacek, I. Rezek and S. J. Roberts (2005).
Bayes Consistent Classification of EEG Data by Approximate Marginalization.
in Probabilistic Modeling in Biomedicine and Medical Bioinformatics, Eds Dirk Husmeier, Richard Dybowski, and Stephen Roberts, Springer Verlag, 2005
M. Little, P. McSharry, M. Moroz, and S. Roberts (2005).
A simple quasi-linear discrete model of vocal fold dynamics.
Lecture Notes in Computer Science (Springer-Verlag), NOLISP 2005, pp. 348-356..
R. K. Dash, A. Rogers, S. Reece, S. J. Roberts and N. R. Jennings (2005).
Constrained Bandwidth Allocation in Multisensor Information Fusion: A Mechanism Design Approach.
Proceedings of The Eighth International Conference on Information Fusion, Philadelphia, USA. July 2005.
M. Little, P. McSharry, M. Moroz, and S. Roberts (2005).
A simple nonlinear model of vocal fold dynamics.
Proceedings of 3rd International Conference on Non-Linear Speech Processing, Barcelona, Spain, April, pp. 188-203.
I. Rezek, S. Roberts, A. Rogers, R. Dash, N. Jennings (2005).
Unifying Learning in Games and Graphical Models.
Proceedings of Fusion-05.
S. Reece, S. Roberts (2005).
Robust, Low-bandwidth, Multi-vehicle Mapping.
Proceedings of Fusion-05.
S. Reece, D. Nicholson (2005).
Tighter Alternatives to the Cramer-Rao Lower Bound for Discrete-time Filtering.
Proceedings of Fusion-05.
S. Mukherjee, S.J. Roberts and M.J. van der Laan (2005).
Data adaptive test statistics for microarray data.
Bioinformatics, 21(suppl 2) ii108-ii114.
C. Orphanidou, I. Moroz and S. Roberts (2005).
Multiscale Voice Morphing using Radial Basis Function Analysis.
Proceedings of 7th International Symposium on Algorithms for Approximation.
S. Roberts & R. Choudrey (2005).
Bayesian Independent Component Analysis with Constraints: an application in Biosignal Analysis
Lecture Notes in Computer Science, special issue on Machine Learning.
S. Mukherjee, S.J. Roberts and M.J. van der Laan (2005).
Data adaptive test statistics for microarray data.
Proceedings of the 9th Annual Int. Conference in Research in Computational Molecular Biology (RECOMB 2005)
S. Mukherjee & S. J. Roberts (2005).
A Theoretical Analysis of the Selection of Differentially Expressed Genes.
Journal of Bioinformatics and Computational Biology. Vol. 3, No. 3 (2005) 627-643.
J. Ma, C. Orphanidou, I. Moroz, S. Roberts (2005).
Multiscale Voice Morphing using the Complex Wavelet Transform.
Technical report

2004

M.A. Little, I.M. Moroz, P.E. McSharry, S.J. Roberts (2004).
Variational Integration for Speech Signal Processing.
Proceedings of IMA Conference on Mathematics in Signal Processing VI.
C. Orphanidou, I. Moroz & S. Roberts (2004).
Wavelet-based Voice Morphing.
WSEAS Journal on Systems, 10(3), 3297-3302.
S. Mukherjee & S. J. Roberts (2004).
Unsupervised Learning of Ranking Functions for High-Dimensional Data
Technical report # PARG-04-02.
[pdf version]
S. Mukherjee & S. J. Roberts (2004).
Probabilistic Consistency Analysis for Gene Selection.
In Proceedings of the IEEE Computer Society Bioinformatics Conference 2004 (CSB 2004). IEEE Press..
[pdf version]
S. Mukherjee & S. J. Roberts (2004).
A Theoretical Analysis of Gene Selection. (pdf only)
In Proceedings of the IEEE Computer Society Bioinformatics Conference 2004 (CSB 2004). IEEE Press..
S. Mukherjee (2004).
Sampling distribution of the SAM statistic.
Technical report # PARG-04-01.
[pdf version]
S. Roberts, T. Guilford, I. Rezek & D. Biro (2004).
Positional Entropy during Pigeon Homing I: application of Bayesian Latent State Modelling. (pdf only)
Journal of Theoretical Biology, 227(1), 39-50.
T. Guilford, S. Roberts, D. Biro & I. Rezek (2004).
Positional Entropy during Pigeon Homing II: navigational interpretation of Bayesian Latent State Models. (pdf only)
Journal of Theoretical Biology, 227(1), 25-38.
S. J. Roberts, E. Roussos & R. Choudrey (2004).
Hierarchy, Priors And Wavelets: Structure & Signal Modelling using ICA.
Signal Processing 84, 283-297.
P. Sykacek, S. Roberts & M. Stokes (2004).
Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.
IEEE Transactions on Biomedical Engineering. 51(5). 719-729.
K. Kar, S. Roberts, R. Stone, M. Oldfield, and B. French (2004).
Instantaneous Exhaust Temperature Measurements Using Thermocouple Compensation Techniques.
SAE International Conference Paper, paper 2004-01-1418.
Nicholas P. Hughes, Stephen J. Roberts and Lionel Tarassenko (2004).
Semi-Supervised Learning of Probabilistic Models for ECG Segmentation.
In IEEE Engineering in Medicine and Biology Conference (EMBC) 2004
E. Curran, P. Sykacek, S. Roberts, W. Penny, M. Stokes, I. Jonsrude & A. Owen (2004).
Cognitive tasks for driving a Brain Computer Interfacing System: a pilot study.
IEEE Transactions on Rehabilitation Engineering, 12 (1): 48-5.

2003

S. N. Mukherjee, P. Sykacek, S. J. Roberts & S. J. Gurr (2003).
Gene Ranking Using Bootstrapped P-values. (pdf only)
ACM SIGKDD Explorations, Volume 5, Issue 2, Special Issue on Microarray Data Mining.
P. Sykacek, S. Roberts, M. Stokes, E. Curran, M. Gibbs and L. C. Pickup. (2003).
Probabilistic methods in BCI research. (pdf only)
IEEE Trans. Neural Systems and Rehabilitation Engineering, pp 192-195.
N. P. Hughes, S. J. Roberts & L. Tarassenko (2003).
Markov Models for Automated ECG Interval Analysis.
Advances in Neural Information Processing Systems 16 (NIPS 2003).
[pdf version]
L. C. Pickup, S. J. Roberts & A. Zissermann (2003).
A Sampled Texture Prior for Image Super-resolution.
Advances in Neural Information Processing Systems 16 (NIPS 2003).
[pdf version]
C. Orphanidou, S. J. Roberts & I. M. Moroz (2003).
Voice Morphing using the Generative Topographic Mapping. (pdf only)
Proceedings, International Conference on Computer, Communication and Control Technologies 2003, Volume I, 222-225.
R. A. Choudrey & S. J. Roberts (2003).
Learning Hierarchical Dynamics using Independent Component Analysis.
International Conference on Independent Component Analysis, Nara, Japan., 797-802.
R. A. Choudrey & S. J. Roberts (2003).
Bayesian ICA with Hidden Markov Model Sources.
International Conference on Independent Component Analysis, Nara, Japan., 809-814.
R. A. Choudrey & S. J. Roberts (2003).
Variational Bayesian Mixture of Independent Component Analysers for Finding Self-Similar Areas in Images.
International Conference on Independent Component Analysis, Nara, Japan., 107-112.
S. J. Roberts & R. A. Choudrey (2003).
Independent Data Decomposition.
International Conference on Independent Component Analysis, Nara, Japan., 451-456.
R. Choudrey & S. Roberts (2003).
Variational Mixture of Bayesian Independent Component Analysers.
Neural Computation 15(1).
S. Roberts & R. Choudrey (2003).
Data Decomposition using Independent Component Analysis with Prior Constraints.
Pattern Recognition 36(8).
I. Rezek, S. J. Roberts and P. Sykacek (2003).
Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals.
Ninth International Workshop on Artificial Intelligence and Statistics, 2003.
I. Rezek and S.J. Roberts (2003)
An Operator Interpretation of Message Passing
Technical Report PARG-03-01, 2003.
Charles Fox (2003) QCF: Quantum Computing Functions for MATLAB
User manual for software available from Charles Fox
Technical Report PARG-03-02

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2002

N. P. Hughes and D. Lowe (2002)
Artefactual Structure from Least Squares Multidimensional Scaling.
Advances in Neural Information Processing Systems 15 (NIPS*2002).
[pdf version]
P. Sykacek and S. Roberts (2002).
Adaptive classification by variational Kalman filtering.
Advances in Neural Information Processing Systems 15 (NIPS*2002).
P. Sykacek, S. Roberts and M. Stokes (2002).
Adaptive BCI based on variational Bayes: an empirical evaluation. Albany BCI workshop, June 2002 (BEST TECHNICAL PAPER AWARD).
S. Roberts & W. Penny (2002).
Variational Bayes for Generalised Autoregressive Models.
IEEE Transactions on Signal Processing..
W. Penny & S. Roberts (2002).
Bayesian Multivariate Autoregressive Models with Structured Priors.
IEE Proceedings on Vision, Signal & Image Processing. 149(1), 33-41.
I. Rezek, M. Gibbs & S.J. Roberts, (2002).
Maximum a Posteriori Estimation of Coupled Hidden Markov Models.
Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 32(1):55-66.
I. Rezek and S.J. Roberts (2002).
Ensemble Hidden Markov Models for Biosignal Analysis.
14th International Conference on Digital Signal Processing, Santorini, Greece, 2002.
L. C. Pickup & S. J. Roberts (2002).
Machine Learning Approaches For Brain-Computer Interfacing
Undergraduate Final Year Project.
Technical Report PARG-02-01, May 2002.
J. Rittscher, A. Blake and S.J. Roberts (2002).
Towards the Automatic Analysis of Complex Human Motions.
Image and Vision Computing Journal.
O. Ortolani, A. Conti, A. Di Filippo, C. Adembri, E. Moraldi, A. Evangelisti, M. Maggini and S. J. Roberts (2002).
EEG signal processing in anaesthesia. Use of a neural network technique for monitoring depth of anaesthesia.
Br. J. Anaesth. (2002) 88 (5): 644-648. doi: 10.1093/bja/88.5.644.

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2001

E. Curran, P. Sykacek, M. Stokes, S. Roberts, W. Penny, I. Johnsrude, A. Owen (2001).
Cognitive Tasks for driving a Brain Computer Interfacing System: a pilot study.
Technical Report PARG-01-07, March 2001.
S. Roberts & R. Choudrey (2001).
Detection of Small Embedded Signals in Noise using Probabilistic Independent Component Analysis.
Technical Report PARG-01-06.
R. Choudrey & S. Roberts (2001).
Variational Bayesian Independent Component Analysis with Flexible Sources.
Technical Report PARG-01-03.
R. Choudrey & S. Roberts (2001).
Flexible Bayesian Independent Component Analysis for Blind Source Separation.
Proceedings of ICA-2001, San Diego, December 2001.
P. Sykacek & S. Roberts (2001).
Bayesian time series classification.
Proceedings of NIPS 2001.
I. Rezek & S. Roberts (2001).
Variational Inference for Hidden Markov Models.
Technical Report PARG-01-02.
S. Roberts, C. Holmes & D. Denison (2001).
Minimum Entropy Data Clustering using RJ-MCMC.
Proceedings of ICANN 2001, Vienna, August 2001.
[PDF version]
S. Roberts & W. Penny (2001).
Mixtures of Independent Component Analysers.
Proceedings of ICANN 2001, Vienna, August 2001.
[PDF version]
P. Sykacek, S. Roberts, I. Rezek, A. Flexer & G. Dorffner (2001).
A probabilistic approach to high-resolution sleep analysis.
Proceedings of ICANN 2001, Vienna, August 2001.
S. Roberts & R. Everson (2001).
Independent Component Analysis: principles and practice.
Cambridge University Press, March 2001.
S. Roberts, C. Holmes & D. Denison (2001).
Minimum Entropy data partitioning using Reversible Jump Markov Chain Monte Carlo.
IEEE Transactions on Pattern Analysis & Machine Intelligence, Vol.23, 8, August 2001, 909-915.

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2000

P. Sykacek, I. Rezek & S. Roberts (2000).
Markov chain Monte Carlo methods for Bayesian sensor fusion.
Technical Report PARG-00-11, July 2000.
S. Roberts (2000).
Extreme Value Statistics for Novelty Detection in Biomedical Signal Processing.
IEE Proceedings Science, Technology & Measurement. Vol. 147, issue 6, p363-367.
I. Rezek, P. Sykacek, S. J. Roberts (2000).
Learning Interaction Dynamics with Coupled Hidden Markov Models.
IEE Special Issue Proceedings Science, Measurement and Technology, Vol. 147(6), pp. 345-350.
S. Roberts, I. Rezek, R. Everson, H. Stone, S. Wilson & C. Alford (2000).
Automated assessment of Vigilance using committees of Radial Basis Function Analysers.
IEE Proceedings Science, Technology & Measurement. Vol. 147, issue 6, p333-338.
I. Rezek, P. Sykacek & S. Roberts (2000).
A Comparison of Bayesian and Maximum Likelihood Learning of Coupled Hidden Markov Models
IEE Proceedings Science, Technology & Measurement. Vol. 147, issue 6, p345-350.
R. Choudrey, W. Penny & S. Roberts (2000).
An ensemble learning approach to Independent Component Analysis.
Proceedings of Neural Networks for Signal Processing, Sydney, December 2000. Technical Report PARG-00-8, April 2000.
S. Roberts, C. Holmes & D. Denison (2000).
Minimum Entropy data partitioning using Reversible Jump Markov Chain Monte Carlo.
Technical Report PARG-00-7, April 2000.
S. Roberts (2000).
Extreme Value Statistics for Novelty Detection in Biomedical Signal Processing.
Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing.
[pdf version]
I.Rezek, P. Sykacek & S. Roberts (2000).
Coupled hidden Markov models for biosignal interaction modelling.
Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing.
W. Penny, S. Roberts & R. Everson (2000).
Hidden Markov Independent Components Analysis for biosignal analysis.
Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing.
S. Roberts, I. Rezek, R. Everson, H. Stone, S. Wilson & C. Alford (2000).
Automated assessment of Vigilance using committees of Radial Basis Function Analysers.
Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing.
[pdf version]
I. Rezek & S. Roberts (2000).
Estimation of Coupled Hidden Markov Models with application to Biosignal Interaction Modelling.
Proceedings of Neural Networks for Signal Processing, Sydney, December 2000. Technical report PARG-00-5, April 2000.
W. Penny & S. Roberts (2000).
Variational Bayes for non-Gaussian autoregressive models.
Proceedings of Neural Networks for Signal Processing, Sydney, December 2000. Technical report PARG-00-4, April 2000.
W. Penny & S. Roberts (2000).
Bayesian methods for autoregressive models.
Proceedings of Neural Networks for Signal Processing, Sydney, December 2000. Technical report PARG-00-3. April 2000.
W. Penny & S. Roberts (2000).
Variational Bayes for 1-dimensional mixture models.
Technical report PARG-00-2, April 2000.
W. Penny & S. Roberts (2000).
Notes on variational learning.
Technical report PARG-00-1, April 2000.
R. Dybowski & S. Roberts (2000).
Confidence Intervals and Prediction Intervals for Feed-Forward Neural Networks.
In: Clinical Applications of Artificial Neural Networks. Eds. R. Dybowski, V. Gant. Cambridge University Press.
W. Penny, R. Everson & S. Roberts (2000).
Hidden Markov Independent Components Analysis.
In: Advances in Independent Components Analysis, (Ed M. Girolami), Kluwer Academic Publishers.
R. Everson & S. Roberts (2000).
Particle Filters for Non-stationary ICA.
In: Advances in Independent Components Analysis, (Ed M. Girolami), Kluwer Academic Publishers.
S. Roberts & W. Penny (2000).
Real-time Brain Computer Interfacing: a preliminary study using Bayesian learning.
Medical & Biological Engineering and Computing., Vol 38. num 1, pp 56-61.
[PDF version]
W. Penny, S. Roberts, E. Curran & M. Stokes (2000).
EEG-based communication: a pattern recognition approach.
IEEE Transactions on Rehabilitation Engineering 8(2), 214-216.
S.J. Roberts, R. Everson, I. Rezek (2000).
Maximum certainty data partitioning.
Pattern Recognition 33(5).
R. Everson & S. Roberts (2000).
Independent Components Analysis.
Technical report TR-99-8. May 1999. Draft of chapter in Artificial Neural Networks in Biomedicine, Lisboa, Ifeachor, Szczepaniak (Eds), Springer. Perspectives in Neural Computing.
W. Penny, D. Husmeier & S. Roberts (2000).
The Bayesian Paradigm: Second Generation Neural Computing.
Technical report TR-99-7. May 1999. Chapter in Artificial Neural Networks in Biomedicine, Lisboa, Ifeachor, Szczepaniak (Eds), Springer. Perspectives in Neural Computing.
R.M. Everson & S.J. Roberts, (2000).
Blind Source Separation for Non-stationary Mixing.
Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology, 26:8, 15-24, 2000.
R. Everson and S. Roberts (2000).
Inferring the eigenvalues of covariance matrices from limited, noisy data.
(Original Research report TR-98-11, Sept 1998). IEEE transactions on signal processing, 48(7), 2083-2091.

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1999

W.D. Penny and S.J. Roberts (1999).
Dynamic models for nonstationary signal segmentation
Technical Report TR-98-14. Computers and Biomedical Research 32(6) pp. 483-502.
S. Roberts, R. Everson, I.Rezek, P. Anderer & A. Schloegl (1999).
Tracking ICA for eye-movement artefact removal.
Proceedings of EMBEC-99.
I. Rezek, S. Roberts, P. Sykacek (1999).
Complexity Features for Sleep Stage Analysis.
Proceedings of EMBEC, pages 1650-1651.
P. Sykacek, S. Roberts, I. Rezek, A. Flexer & G. Dorffner (1999).
Bayesian Wrappers Versus Conventional Filters: Feature Subset Selection In The SIESTA Project.
Proceedings of EMBEC, pages 1652-1653.
P. Sykacek, S. Roberts, I. Rezek, A. Flexer & G. Dorffner (1999).
Reliability in Preprocessing - Bayes Rules SIESTA.
Proceedings of EMBEC, pages 1656-1657.
P. Sykacek, S. Roberts, I. Rezek, A. Flexer & G. Dorffner (1999).
Classification in the Sampling Paradigm: A Predictive Approach Towards a SIESTA Sleep Analyzer.
Proceedings of EMBEC, pages 1660-1661.
S.J. Roberts, R. Everson, I. Rezek (1999).
Minimum Entropy Data Partitioning
ICANN-99, Proceedings of the 8th International Conference on Artificial Neural Networks , Springer Verlag, Perspectives in Neural Computing, pp 844-849.
W. Penny, S. Roberts & M. Stokes (1999).
EEG-based communication: a pattern recognition approach.
Technical report TR-99-6. May 1999.
W. Penny & S. Roberts (1999).
EEG-based communication via dynamic neural network models.
Technical report TR-99-5. May 1999. Proceedings of International Joint Conference on Neural Networks. IJCNN-99.
D. Husmeier & S. Roberts (1999).
Regularisation of RBF-networks with the Bayesian Evidence scheme.
Technical report TR-99-4. May 1999. ICANN-99, Proceedings of the 8th International Conference on Artificial Neural
Networks, Springer Verlag, Perspectives in Neural Computing, pp533-538.
D. Husmeier, S. Roberts, G. Patton & M. McClure (1999).
Neural Networks for Predicting Kaposi's Sarcoma.
Technical report TR-99-3. May 1999. Proceedings of International Joint Conference on Neural Networks. IJCNN-99.
P.J. Wells, A. Wright & S.J. Roberts (1999).
Acoustic Emission in Aerospace Structures.
Proceedings of IEE symposium on condition monitoring, April 1999.
J.M. Spyers-Ashby, M.J. Stokes & S.J. Roberts (1999).
Classification of Normal and Pathological Tremors.
Medical Engineering & Physics, 21, 713-723.
W.D. Penny, S.J. Roberts (1999)
Dynamic Logistic Regression
In: Proceedings IJCNN'99 .
W.D. Penny, S.J. Roberts (1999)
Nonstationary Logistic Regression
Technical Report, Department of Electrical Engineering, Imperial College.
W. Penny, D. Husmeier & S.J. Roberts (1999).
Covariance-based weighting for optimal combination of model predictions.
Technical Report TR-99-2. March 1999. ICANN-99, Proceedings of the 8th International Conference on Artificial Neural Networks, Springer Verlag, Perspectives in Neural Computing, pp 826-831.
R. Everson & S.J. Roberts (1999).
Non-stationary Independent Component Analysis.
Technical Report TR-99-1. March 1999. ICANN-99, Proceedings of the 8th International Conference on Artificial Neural Networks, Springer Verlag, Perspectives in Neural Computing, pp 503-508.
D. Husmeier, W.D. Penny, S.J. Roberts (1999).
An Empirical Evaluation of Bayesian Sampling with Hybrid Monte Carlo for Training Neural Network Classifiers.
TR-98-8 Neural Networks. 12, pp 677-705.
W.D. Penny and S.J. Roberts (1999).
Bayesian neural networks for classification: how useful is the evidence framework?
TR-97-5 (1997). Neural Networks.12, pp 877-892.
R. Everson and S. Roberts (1999).
Independent Component Analysis: A flexible non-linearity and decorrelating manifold approach.
Research Report TR-98-3 March 1998. Appears in Neural Computation. 11(8)
A slightly shorter (more recent) version is here.

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1998

W.D. Penny and S.J. Roberts (1998).
Hidden Markov Models with Extended Observation Densities.
Technical Report TR-98-15.
W.D. Penny and S.J. Roberts (1998).
Dynamic Linear Models, Recursive Least Squares and Steepest Descent Learning.
Technical Report TR-98-13.
W.D. Penny and S.J. Roberts (1998).
Gaussian Observation Hidden Markov Models for EEG analysis.
Technical Report TR-98-12.
I. Rezek and S.J. Roberts (1998).
Envelope Extraction via Complex Homomorphic Filtering.
Research Report TR-98-9, June 1998.
S.J. Roberts, I.A. Rezek, W.D. Penny, R.M. Everson (1998).
The use of advanced information processing methods in EEG analysis.
Proceedings of IEE colloquium on Intelligent Decision Support in Clinical Practice, June 1998.
D. Husmeier, W.D. Penny, S.J. Roberts (1998).
Emprical evaluation of Bayesian Sampling for Network training.
Research report TR-98-7, May 1998.
W.D. Penny, D. Husmeier, S.J. Roberts (1998).
Covariance based weighting for optimal combination of network predictions.
Research report TR-98-6, May 1998.
A slightly longer version is also available here.
I. Rezek and S.J. Roberts (1998).
Causal Analysis with Information Flow.
Research Report TR-98-5.
D. Husmeier, W.D. Penny, S.J. Roberts (1998).
Empirical Evaluation of Bayesian Sampling for Neural Classifiers.
In: L.Niklason, M.Boden, T.Ziemke (Eds.), ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Springer Verlag, Perspectives in Neural Computing, pp. 323-328.
A. Alusi, S. Marchand-Maillet and S.J. Roberts (1998).
Ridge detection in the two-dimensional discrete space.
Research Report TR-98-4, March 1998.
R. Everson and S. Roberts (1998).
Independent Component Analysis: A flexible non-linearity and decorrelating manifold approach.
In: Proceedings of IEEE conference on neural networks and signal processing VIII, NNSP-98, Cambridge, 1998. pp33-42
S.J. Roberts (1998).
Novelty Detection using Extreme Value Statistics.
Research Report TR-98-2 (Revision 4.0 Sept 1998)
Appears in IEE Proceedings - Vision, Image & Signal Processing, 146(3), pp 124-129.
J.M. Spyers-Ashby, P. Bain & S.J. Roberts (1998).
A comparison of fast Fourier transform (FFT) and autoregressive (AR) spectral estimation techniques for the analysis of tremor data.
Journal of Neuroscience Methods, special issue Wave form and Systems Analysis, Ed. Michael Gresty. 83, 35-43.
W.D. Penny, S.J. Roberts and M.J. Stokes (1998).
Imagined Hand Movements Identified from the EEG Mu-Rhythm.
Technical Report TR-98-1.
S.J. Roberts, W. Penny & I.Rezek (1998).
Temporal and Spatial Complexity measures for EEG-based Brain-Computer Interfacing.
(draft 3.6 January 1998, revised version 4.3 March 1998): Medical & Biological Engineering & Computing, 37(1), 93-99.
S.J. Roberts (1998).
Independent Component Analysis: Source Assessment & Separation, a Bayesian Approach.
IEE Proceedings - Vision, Image & Signal Processing, 145(3), 149-154, 1998
T. Mouroutis, S.J. Roberts & A.A. Bharath (1998).
Robust Cell Nuclei Segmentation using Statistical Modelling. Bioimaging, Vol 6(2), pp 79-91, June 1998.
Also available on-line via the IOP website, www.iop.org.
I.A. Rezek and S.J. Roberts (1998).
Stochastic Complexity Measures for Physiological Signal Analysis.
IEEE Transactions on Biomedical Engineering, Vol. 44, No 9, 1186-1191, Sept. 1998

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1997

I. Rezek, S. J. Roberts, A. Alusi, M. Arnold, H. Witte (1997).
Physiological State Identification in Feature Space.
Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Nice, France , p 565, September 14-19, 1997.
A.H.Alusi, S.J.Roberts (1997).
Structural Feature Extraction of Brain MRI Images
Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Nice, France , p 725, September 14-19, 1997.
I.A. Rezek & S.J. Roberts (1997).
Unsupervised Clustering using Metric Space Connectedness.
Research Report TR-97-4, June 1997.
S.J. Roberts, I. Rezek & W. Penny (1997).
Unsupervised Data Partitioning: a Bayesian Approach.
Research Report TR-97-3, June 1997.
S.J. Roberts, D. Husmeier, I. Rezek & W. Penny (1997/1998).
Bayesian Approaches to Gaussian Mixture Modelling.
June 1997 (1.0), revised version August 1998 (5.3). IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 11, 1133-1142.
Will Penny & Steve Roberts (1997).
Bayesian neural networks for detection of imagined finger movements from single-trial EEG.
Research report TR-97-2, May 1997
I.A. Rezek, S.J. Roberts (1997).
Parametric Model Order Estimation: A Brief Review.
IEE Colloquium on the Use of Model-based Digital Signal Processing Techniques in the Analysis of Biomedical Signals, April 1997.
T. Mouroutis, S. J. Roberts, A. Bharath & G. Alusi (1997).
Compact Hough Transform and Maximum Likelihood Approach to Cell Nuclei Detection.
Proceedings of 13th International Conference on Digital Signal Processing DSP'97, 2-4 July 1997, Santorini, Greece, pp.869-872.
W. Penny and S.J. Roberts (1997).
Neural network predictions with error bars.
Research Report TR-97-1, February 1997.
S.J. Roberts and W. Penny (1997).
A Maximum Certainty Approach to Feedforward Neural Networks.
Electronic Letters, 33 (4), 306-307.
S.J. Roberts & W. Penny (1997).
Neural Networks : Friends or Foes?
Sensor Review 17:1, 1997.
S.J. Roberts (1997).
Parametric and Non-parametric Unsupervised Cluster Analysis.
Pattern Recognition, 30:2, 261-272.

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1996

S.J. Roberts, W. Penny, D. Pillot (1996).
Novelty, Confidence & Errors in Connectionist Systems.
Proceedings of IEE Colloquium on Intelligent Sensors and Fault Detection, September 1996, 1996/261 : 10/1-10/6
S.J. Roberts & W. Penny (1996).
Novelty, Confidence & Errors in Connectionist Systems.
Research Report TR-96-1: October 1996.
J. Pardey, S. Roberts, L. Tarassenko, J. Stradling (1996).
A new approach to the analysis of the human sleep/wakefulness continuum.
Journal of Sleep Research, 5(4), 201-10.
S.J. Roberts (1996). Scale-space Cluster Analysis
Proceedings of ICPR-96, IEEE, Vol 2, pp 106-110, August 1996.
I. Matalas, S. Roberts & H. Hatzakis (1996).
A set of multiresolution texture features suitable for unsupervised image segmentation.
Proceedings of EUSIPCO-96, September 1996, pp 1495-1498.
H. Hatzakis, S.J. Roberts & I. Matalas (1996).
Textural 3-Dimensional Multi-scale Analysis of MRI Volumes of the Brain.
Proceedings of EUSIPCO-96, September 1996, pp 363-366.
J. Pardey, S. Roberts, L. Tarassenko, (1996).
A Review of Parametric Modelling Techniques for EEG Analysis.
Med. Eng. Phys., 18(1), 2-11.
S. J. Roberts (1996).
Assessing the Confidence of Classification and Prediction in Artificial Neural Networks.
Proceedings of IEE colloquium on AI methods in biosignal analysis, April 1996, 1996/100 : 4/1-4/6.
A. Outten, S. J. Roberts & M. Stokes (1996).
Neural Network Analysis of Human Muscle Activity.
Proceedings of IEE colloquium on AI methods in biosignal analysis, April 1996, 1996/100 : 7/1-7/6.
M. Krkic, S. J. Roberts, I. Rezek & C. Jordan (1996).
EEG-based Assessment of Anaesthetic Depth using Neural Networks.
Proceedings of IEE colloquium on AI methods in biosignal analysis, April 1996, 1996/100 : 10/1-10/6.

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1995

S. J. Roberts, M. Krkic, I. Rezek, J. Pardey, L. Tarassenko, J. Stradling & C. Jordan (1995)
The use of Neural Networks in EEG Analysis
Proceedings of IEE Colloquium on Sleep Analysis, December 1995.
S. Roberts and L. Tarassenko, (1995).
Automated EEG Analysis using an RBF Network.
In: Applications of Neural Networks (A.F. Murray, ed.). Kluwer Academic Publishers, 305-322.
L. Tarassenko, J. Pardey, S. Roberts, H. Chia & M. Laister (1995)
Neural Network Analysis of Sleep Disorders
Proceedings of ICANN 95, Paris, October 1995.
D. K. Siegwart, L. Tarassenko, S. J. Roberts, J. R. Stradling & J. Partlett (1995)
Sleep Apnoea Analysis from Neural Network Post-Processing
Proceedings of IV International Conference on Artificial Neural Networks, Cambridge, June 1995, 427-432.

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1994

L. Tarassenko and S. Roberts, (1994).
Supervised and Unsupervised Learning in Radial Basis Function Classifiers.
Invited paper : IEE Proceedings on Vision / Image & Signal Processing, 141(4), 210-216.
S. Roberts and L. Tarassenko, (1994).
A Probabilistic Resource Allocating Network for Novelty Detection.
Neural Computation 6 270-284.
J. Pardey, S. Roberts, L. Tarassenko (1994)
The Application of Artificial Neural Networks to Biomedical Signal Processing
IEE Colloquium on the Application of Neural Networks to Signal Processing, London, December 1994.
S. Roberts, T. Chaumeron and J. Magdolen (1994).
Adaptive Noise Removal from Complex Signals using the Wavelet Transform.
Proceedings of the VII European Signal Processing Conference, Edinburgh, September 1994, 66-69.
S. Fredrickson, S. Roberts, N. Townsend and L. Tarassenko (1994).
Speaker Identification using Networks of Radial Basis Functions.
Proceedings of the VII European Signal Processing Conference (EUSIPCO-94), Edinburgh, September 1994, 812-815.
S. Roberts, L. Tarassenko, J. Pardey and D. Siegwart (1994).
A Validation Index for Artificial Neural Networks.
Proceedings of First International Conference on Neural Networks and Expert Systems in Medicine and Healthcare (NNESMED-94), Plymouth, August 1994, 23-30.

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