Dr Simon Rogers

  • Senior Lecturer (Computing Science)

telephone: 01413301649
email: Simon.Rogers@glasgow.ac.uk

Biography

Dr. Rogers is a Senior Lecturer in the School of Computing Science and a member of the Inference, Dynamics and Interaction group. He did his undergraduate degree in Electrical and Electronic Engineering at the University of Bristol before staying in Bristol to do his PhD (Machine Learning Techniques for Microarray Analysis; 2001-2004), supervised byDr. Colin Campbell. He moved to Glasgow in 2004 to work with Prof. Mark Girolami on the application of Machine Learning to Computational Biology. In 2009 he became a Lecturer in the School and has since (August 2015) been promoted to Senior Lecturer.

Research Interests

  • Metabolomics: the development of Machine Learning and Statistical methods for the analysis of data from LC/MS metabolomics experiments.
  • Human-Computer Interaction: the use of Machine Learning and probabilistic modelling to develop new, and improve current interface technology.
  • Machine Learning: particularly kernel methods and non-parametric Bayesian approaches.

More details are available at his personal page:http://www.dcs.gla.ac.uk/~srogers.

For more details on the textbook "A First Course in Machine Learning", click here.

Other online profiles:

 

Selected publications

Grants

Current Funding

  • Stomatal-based systems analysis of water use efficiency (BBSRC [BB/L001276/1], £416,746) (with Prof. Michael Blatt) 
  • Computational inference of biopathway dynamics and structures (EPSRC [EP/L020319/1], £341,825) (with Prof. Dirk Husmeier and Dr. Maurizio Filippone)
  • Enhanced interpretation of metabolomics data to accelerate microbial engineering (Innovate UK, £155,628) (with Dr. Karl Burgess, Dr. Rónán Daly and Prof. Michael Barrett)
  • In-silico integration of primary CML stem cell polyomic datasets to identify kinase-independent networks and novel prognostic biomarkers (Bloodwise, £138,724) (with Prof. Tessa Holyoake)

Previous Funding

  • Unifying metabolome and proteome informatics (BBSRC [BB/L018616/1], £144,291) (with Dr. Andy Dowsey, (University of Bristol) and Prof. Rainer Breitling (University of Manchester))

Supervision

Teaching

All publications

List by: Type | Date

Jump to: 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005
Number of items: 54.

2017

Gloaguen, Y., Morton, F., Daly, R., Gurden, R., Rogers, S. , Wandy, J., Wilson, D., Barrett, M. and Burgess, K. (2017) PiMP my metabolome: An integrated, web-based tool for LC-MS metabolomics data. Bioinformatics, (doi:10.1093/bioinformatics/btx499) (Early Online Publication)

Niu, M., Macdonald, B., Rogers, S. , Filippone, M. and Husmeier, D. (2017) Computational inference of biopathway dynamics and structures. Computational Statistics, (Accepted for Publication)

van der Hooft, J. J.J., Wandy, J., Young, F., Padmanabhan, S. , Gerasimidis, K., Burgess, K. E.V., Barrett, M. P. and Rogers, S. (2017) Unsupervised discovery and comparison of structural families across multiple samples in untargeted metabolomics. Analytical Chemistry, 89(14), pp. 7569-7577. (doi:10.1021/acs.analchem.7b01391) (PMID:28621528) (PMCID:PMC5524435)

Vialet-Chabrand, S., Hills, A., Wang, Y., Griffiths, H., Lew, V. L., Lawson, T., Blatt, M. R. and Rogers, S. (2017) Global sensitivity analysis of OnGuard models identifies key hubs for transport interaction in stomatal dynamics. Plant Physiology, 174(2), pp. 680-688. (doi:10.1104/pp.17.00170) (PMID:28432256)

Noor, M. F. M., Rogers, S. and Williamson, J. (2017) Pre-Interaction Identification by Dynamic Grip Classification. In: 11th International Conference on Ubiquitous Information Management and Communication, Beppu, Japan, 5-7 Jan 2017, pp. 1-7. ISBN 9781450348881 (doi:10.1145/3022227.3022320)

2016

van Der Hooft, J. J. J. , Wandy, J., Barrett, M. P. , Burgess, K. E.V. and Rogers, S. (2016) Topic modeling for untargeted substructure exploration in metabolomics. Proceedings of the National Academy of Sciences of the United States of America, 113(48), pp. 13738-13743. (doi:10.1073/pnas.1608041113) (PMID:27856765) (PMCID:PMC5137707)

Vialet-Chabrand, S., Matthews, J. S. A., Brendel, O., Blatt, M.R., Wang, Y., Hills, A., Griffiths, H., Rogers, S. and Lawson, T. (2016) Modelling water use efficiency in a dynamic environment: an example using Arabidopsis thaliana. Plant Science, 251, pp. 65-74. (doi:10.1016/j.plantsci.2016.06.016) (PMID:27593464) (PMCID:PMC5038844)

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Parameter Inference in Differential Equation Models of Biopathways using Time Warped Gradient Matching. In: 13th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Stirling, UK, 01-03 Sep 2016, (In Press)

Macdonald, B., Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Approximate parameter inference in systems biology using gradient matching: a comparative evaluation. BioMedical Engineering OnLine, 15, 80. (doi:10.1186/s12938-016-0186-x) (PMID:27454253) (PMCID:PMC4959362)

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Fast inference in nonlinear dynamical systems using gradient matching. Journal of Machine Learning Research: Workshop and Conference Proceedings, 48, pp. 1699-1707.

Sun, L., Rogers, S. , Aragon-Camarasa, G. and Siebert, J. P. (2016) Recognising the Clothing Categories from Free-Configuration Using Gaussian-Process-Based Interactive Perception. In: IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 16-21 May 2016, 2464 -2470. (doi:10.1109/ICRA.2016.7487399)

Musić, J., Weir, D., Murray-Smith, R. and Rogers, S. (2016) Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy. mUX: The Journal of Mobile User Experience, 5, 1. (doi:10.1186/s13678-016-0002-3)

Sun, L., Aragon Camarasa, G., Khan, A., Rogers, S. and Siebert, P. (2016) A precise method for cloth configuration parsing applied to single-arm flattening. International Journal of Advanced Robotic Systems, 13, 70. (doi:10.5772/62513)

Noor, M. F. M., Rogers, S. and Williamson, J. (2016) Detecting Swipe Errors on Touchscreens Using Grip Modulation. In: CHI 2016, San Jose, CA, USA, 7-12 May 2016, pp. 1909-1920. ISBN 9781450333627 (doi:10.1145/2858036.2858474)

2015

Niu, M., Filippone, M., Husmeier, D. and Rogers, S. (2015) Inference in Nonlinear Differential Equations. In: 30th International Workshop on Statistical Modelling, Linz, Austria, 06-10 Jul 2015, pp. 187-190.

Wandy, J., Daly, R., Breitling, R. and Rogers, S. (2015) Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets. Bioinformatics, 31(12), pp. 1999-2006. (doi:10.1093/bioinformatics/btv072) (PMID:25649621) (PMCID:PMC4760236)

Sun, L., Aragon-Camarasa, G., Rogers, S. and Siebert, J. P. (2015) Accurate Garment Surface Analysis using an Active Stereo Robot Head with Application to Dual-Arm Flattening. In: IEEE International Conference in Robotics and Automation, Seattle, WA., USA, 26-30 May 2015, pp. 185-192. (doi:10.1109/ICRA.2015.7138998)

2014

Daly, R., Rogers, S., Wandy, J., Jankevics, A., Burgess, K. E.V. and Breitling, R. (2014) MetAssign: probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach. Bioinformatics, 30(19), pp. 2764-2771. (doi:10.1093/bioinformatics/btu370) (PMID:24916385) (PMCID:PMC4173012)

Suvitaival, T., Rogers, S. and Kaski, S. (2014) Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations. Bioinformatics, 30(17), i461-i467. (doi:10.1093/bioinformatics/btu455) (PMID:25161234) (PMCID:PMC4147908)

Noor, M. F. M., Ramsay, A., Hughes, S., Rogers, S., Williamson, J. and Murray-Smith, R. (2014) 28 frames later: predicting screen touches from back-of-device grip changes. In: CHI 2014: ACM CHI Conference on Human Factors in Computing Systems, Toronto, Canada, 26 April - 1 May 2014, pp. 2005-2008. ISBN 9781450324731 (doi:10.1145/2556288.2557148)

Suvitaival, T., Rogers, S. and Kaski, S. (2014) Stronger findings from mass spectral data through multi-peak modeling. BMC Bioinformatics, 15, p. 208. (doi:10.1186/1471-2105-15-208) (PMID:24947013) (PMCID:PMC4080774)

Thuma, E., Rogers, S. and Ounis, I. (2014) Detecting missing content queries in an SMS-Based HIV/AIDS FAQ retrieval system. In: 36th European Conference on Information Retrieval, Amsterdam, The Netherlands, 13-16 April 2014, pp. 247-259. (doi:10.1007/978-3-319-06028-6_21)

Weir, D., Pohl, H., Rogers, S., Vertanen, K. and Kristensson, P. O. (2014) Uncertain text entry on mobile devices. In: CHI 2014: ACM CHI Conference on Human Factors in Computing Systems, Toronto, Canada, 26 April - 1 May 2014, pp. 2307-2316. ISBN 9781450324731 (doi:10.1145/2556288.2557412)

2013

Rogers, S., Sleeman, D. and Kinsella, J. (2013) Investigating the disagreement between clinicians’ ratings of patients in ICUs. IEEE Journal of Biomedical and Health Informatics, 17(4), pp. 843-852. (doi:10.1109/JBHI.2013.2252182)

Mancy, R., Prosser, P. and Rogers, S. (2013) Discrete and continuous time simulations of spatial ecological processes predict different final population sizes and interspecific competition outcomes. Ecological Modelling, 259, pp. 50-61. (doi:10.1016/j.ecolmodel.2013.03.013)

Buschek, D., Rogers, S. and Murray-Smith, R. (2013) User-specific touch models in a cross-device context. In: MobileHCI 2013, Munich, Germany, 27-30 Aug 2013,

Dondelinger, F., Filippone, M., Rogers, S. and Husmeier, D. (2013) ODE parameter inference using adaptive gradient matching with Gaussian processes. In: Sixteenth International Conference on Artificial Intelligence and Statistics, Scottsdale, AZ, USA, 29 Apr - 1 May 2013,

Sun, L., Aragon-Camarasa, G., Siebert, J.P. and Rogers, S. (2013) A heuristic-based approach for flattening wrinkled clothes. In: Towards Autonomous Robotic Systems, TAROS 2013, Oxford, UK, 28-30 Aug 2013,

Thuma, E., Rogers, S. and Ounis, I. (2013) Evaluating bad query abandonment in an iterative SMS-Based FAQ retrieval system. In: OAIR 2013, Lisbon, Portugal, 22-24 May 2013, (In Press)

Thuma, E., Rogers, S. and Ounis, I. (2013) Exploiting query logs and field-based models to address term mismatch in an HIV/AIDS FAQ retrieval system. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V. and Vadera, S. (eds.) Natural Language Processing and Information Systems: 18th International Conference on Application of Natural Language to Information Systems, NLDB2013, Salford, UK, June 2013, Proceedings. Series: Lecture Notes in Computer Science (7934). Springer: Berlin, pp. 77-89. ISBN 9783642388231

Weir, D., Rogers, S. and Buschek, D. (2013) Sparse selection of training data for touch correction systems. In: MobileHCI 2013, Munich, Germany, 27-30 Aug 2013, pp. 1-4.

2012

Dondelinger, F., Rogers, S., Filippone, M., Cretella, R., Palmer, T., Smith, R., Millar, A. and Husmeier, D. (2012) Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching. In: WCSB2012 - 9th International Workshop on Computational Systems Biology, Ulm, Germany, 4-6 Jun 2012,

Rogers, S., Daly, R. and Breitling, R. (2012) Mixture model clustering for peak filtering in metabolomics. In: WCSB2012 - 9th International Workshop on Computational Systems Biology, Ulm, Germany, 4-6 Jun 2012,

Sleeman, D., Rogers, S. , Moss, L., Aitken, A. and Kinsella, J. (2012) INSIGHT: Helping domain experts make their knowledge more consistent. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 22-35.

Weir, D., Rogers, S., Murray-Smith, R. and Löchtefeld, M. (2012) A user-specific Machine Learning approach for improving touch accuracy on mobile devices. In: 25th ACM Symposium on User Interface Software and Technology, Cambridge, MA, 7-10 Oct 2012, (doi:10.1145/2380116.2380175)

2011

Rogers, S. and Girolami, M. (2011) A First Course in Machine Learning. Chapman & Hall / CRC. ISBN 9781439824146

Polajnar, T., Rogers, S. and Girolami, M. (2011) Protein interaction detection in sentences via gaussian processes: a preliminary evaluation. International Journal of Data Mining and Bioinformatics, 5(1), pp. 52-72. (doi:10.1504/IJDMB.2011.038577)

Rogers, S. (2011) Statistical methods and models for bridging omics data levels. In: Mayer, B. (ed.) Bioinformatics for Omics Data: Methods and Protocols. Series: Methods in molecular biology (719). Humana Press: New York, NY, USA, pp. 133-151. ISBN 9781617790263 (doi:10.1007/978-1-61779-027-0_6)

Rogers, S., Scheltema, R.A., Barrett, M. and Breitling, R. (2011) Bayesian approaches for mass spectrometry-based metabolomics. In: Stumpf, M.P.H., Balding, D.J. and Girolami, M. (eds.) Handbook of Statistical Systems Biology. John Wiley & Sons: Chichester, UK, pp. 467-476. ISBN 9780470710869 (doi:10.1002/9781119970606.ch24)

Rogers, S., Williamson, J., Stewart, C. and Murray-Smith, R. (2011) AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation. In: CHI 2011 : ACM CHI Conference on Human Factors in Computing Systems, Vancouver, B.C., 7-12 May 2011, pp. 2575-2584. (doi:10.1145/1978942.1979318)

2010

Rogers, S., Klami, A., Sinkkonen, J., Girolami, M. and Kaski, S. (2010) Infinite factorization of multiple non-parametric views. Machine Learning, 79(1-2), pp. 201-226. (doi:10.1007/s10994-009-5155-1)

Rogers, S., Williamson, J., Stewart, C. and Murray-Smith, R. (2010) FingerCloud: uncertainty and autonomy handover incapacitive sensing. In: Mynatt, E. and Schoner, D. (eds.) CHI '10: Proceedings of the 28th International Conference on Human Factors in Computing Systems, 12-15 April 2010, Atlanta, USA. Association for Computing Machinery: New York, NY, USA, pp. 577-580. ISBN 9781605589299 (doi:10.1145/1753326.1753412)

2009

Rogers, S., Scheltema, R. A., Girolami, M. and Breitling, R. (2009) Probabilistic assignment of formulas to mass peaks in metabolomics experiments. Bioinformatics, 25(4), pp. 512-518. (doi:10.1093/bioinformatics/btn642)

Polajnar, T., Rogers, S. and Girolami, M. (2009) Classification of protein interaction sentences via gaussian processes. Lecture Notes in Computer Science, 5780, pp. 282-292. (doi:10.1007/978-3-642-04031-3_25)

Rogers, S., Girolami, M. and Polajnar, T. (2009) Semi-parametric analysis of multi-rater data. Statistics and Computing, 20(3), pp. 317-334. (doi:10.1007/s11222-009-9125-z)

2008

Rogers, S., Girolami, M., Kolch, W., Waters, K. M., Liu, T., Thrall, B. and Wiley, H. S. (2008) Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models. Bioinformatics, 24(24), pp. 2894-2900. (doi:10.1093/bioinformatics/btn553)

2007

Rogers, S., Khanin, R. and Girolami, M. (2007) Bayesian model-based inference of transcription factor activity. BMC Bioinformatics, 8(Suppl), (doi:10.1186/1471-2105-8-S2-S2)

Rogers, S. and Girolami, M. (2007) Multi-class semi-supervised learning with the e-truncated multinomial probit Gaussian process. Journal of Machine Learning Research: Proceedings Track, 1, pp. 17-32.

2006

Carrivick, L., Rogers, S., Clark, J., Campbell, C., Girolami, M. and Cooper, C. (2006) Identification of prognostic signatures in breast cancer microarray data using bayesian techniques. Journal of the Royal Society: Interface, 3(8), pp. 367-381. (doi:10.1098/rsif.2005.0093)

Girolami, M. and Rogers, S. (2006) Variational Bayesian multinomial probit regression with Gaussian process priors. Neural Computation, 18(8), pp. 1790-1817.

2005

Rogers, S., Girolami, M., Campbell, C. and Breitling, R. (2005) The latent process decomposition of cDNA microarray data sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2(2), pp. 143-156. (doi:10.1109/TCBB.2005.29)

Girolami, M. and Rogers, S. (2005) Hierarchic Bayesian models for kernel learning. In: Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany, 7-11 August 2005., pp. 241-248. ISBN 1595931805 (doi:10.1145/1102351.1102382)

Rogers, S. and Girolami, M. (2005) A Bayesian regression approach to the inference of regulatory networks from gene expression data. Bioinformatics, 21, pp. 3131-3137. (doi:10.1093/bioinformatics/bti487)

Rogers, S., Girolami, M., Krebs, R. and Mischak, H. (2005) Disease classification from capillary electrophoresis: mass spectrometry. Lecture Notes in Computer Science, 3686, pp. 183-191. (doi:10.1007/11551188_20)

This list was generated on Mon Aug 21 22:53:34 2017 BST.
Number of items: 54.

Articles

Gloaguen, Y., Morton, F., Daly, R., Gurden, R., Rogers, S. , Wandy, J., Wilson, D., Barrett, M. and Burgess, K. (2017) PiMP my metabolome: An integrated, web-based tool for LC-MS metabolomics data. Bioinformatics, (doi:10.1093/bioinformatics/btx499) (Early Online Publication)

Niu, M., Macdonald, B., Rogers, S. , Filippone, M. and Husmeier, D. (2017) Computational inference of biopathway dynamics and structures. Computational Statistics, (Accepted for Publication)

van der Hooft, J. J.J., Wandy, J., Young, F., Padmanabhan, S. , Gerasimidis, K., Burgess, K. E.V., Barrett, M. P. and Rogers, S. (2017) Unsupervised discovery and comparison of structural families across multiple samples in untargeted metabolomics. Analytical Chemistry, 89(14), pp. 7569-7577. (doi:10.1021/acs.analchem.7b01391) (PMID:28621528) (PMCID:PMC5524435)

Vialet-Chabrand, S., Hills, A., Wang, Y., Griffiths, H., Lew, V. L., Lawson, T., Blatt, M. R. and Rogers, S. (2017) Global sensitivity analysis of OnGuard models identifies key hubs for transport interaction in stomatal dynamics. Plant Physiology, 174(2), pp. 680-688. (doi:10.1104/pp.17.00170) (PMID:28432256)

van Der Hooft, J. J. J. , Wandy, J., Barrett, M. P. , Burgess, K. E.V. and Rogers, S. (2016) Topic modeling for untargeted substructure exploration in metabolomics. Proceedings of the National Academy of Sciences of the United States of America, 113(48), pp. 13738-13743. (doi:10.1073/pnas.1608041113) (PMID:27856765) (PMCID:PMC5137707)

Vialet-Chabrand, S., Matthews, J. S. A., Brendel, O., Blatt, M.R., Wang, Y., Hills, A., Griffiths, H., Rogers, S. and Lawson, T. (2016) Modelling water use efficiency in a dynamic environment: an example using Arabidopsis thaliana. Plant Science, 251, pp. 65-74. (doi:10.1016/j.plantsci.2016.06.016) (PMID:27593464) (PMCID:PMC5038844)

Macdonald, B., Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Approximate parameter inference in systems biology using gradient matching: a comparative evaluation. BioMedical Engineering OnLine, 15, 80. (doi:10.1186/s12938-016-0186-x) (PMID:27454253) (PMCID:PMC4959362)

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Fast inference in nonlinear dynamical systems using gradient matching. Journal of Machine Learning Research: Workshop and Conference Proceedings, 48, pp. 1699-1707.

Musić, J., Weir, D., Murray-Smith, R. and Rogers, S. (2016) Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy. mUX: The Journal of Mobile User Experience, 5, 1. (doi:10.1186/s13678-016-0002-3)

Sun, L., Aragon Camarasa, G., Khan, A., Rogers, S. and Siebert, P. (2016) A precise method for cloth configuration parsing applied to single-arm flattening. International Journal of Advanced Robotic Systems, 13, 70. (doi:10.5772/62513)

Wandy, J., Daly, R., Breitling, R. and Rogers, S. (2015) Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets. Bioinformatics, 31(12), pp. 1999-2006. (doi:10.1093/bioinformatics/btv072) (PMID:25649621) (PMCID:PMC4760236)

Daly, R., Rogers, S., Wandy, J., Jankevics, A., Burgess, K. E.V. and Breitling, R. (2014) MetAssign: probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach. Bioinformatics, 30(19), pp. 2764-2771. (doi:10.1093/bioinformatics/btu370) (PMID:24916385) (PMCID:PMC4173012)

Suvitaival, T., Rogers, S. and Kaski, S. (2014) Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations. Bioinformatics, 30(17), i461-i467. (doi:10.1093/bioinformatics/btu455) (PMID:25161234) (PMCID:PMC4147908)

Suvitaival, T., Rogers, S. and Kaski, S. (2014) Stronger findings from mass spectral data through multi-peak modeling. BMC Bioinformatics, 15, p. 208. (doi:10.1186/1471-2105-15-208) (PMID:24947013) (PMCID:PMC4080774)

Rogers, S., Sleeman, D. and Kinsella, J. (2013) Investigating the disagreement between clinicians’ ratings of patients in ICUs. IEEE Journal of Biomedical and Health Informatics, 17(4), pp. 843-852. (doi:10.1109/JBHI.2013.2252182)

Mancy, R., Prosser, P. and Rogers, S. (2013) Discrete and continuous time simulations of spatial ecological processes predict different final population sizes and interspecific competition outcomes. Ecological Modelling, 259, pp. 50-61. (doi:10.1016/j.ecolmodel.2013.03.013)

Polajnar, T., Rogers, S. and Girolami, M. (2011) Protein interaction detection in sentences via gaussian processes: a preliminary evaluation. International Journal of Data Mining and Bioinformatics, 5(1), pp. 52-72. (doi:10.1504/IJDMB.2011.038577)

Rogers, S., Klami, A., Sinkkonen, J., Girolami, M. and Kaski, S. (2010) Infinite factorization of multiple non-parametric views. Machine Learning, 79(1-2), pp. 201-226. (doi:10.1007/s10994-009-5155-1)

Rogers, S., Scheltema, R. A., Girolami, M. and Breitling, R. (2009) Probabilistic assignment of formulas to mass peaks in metabolomics experiments. Bioinformatics, 25(4), pp. 512-518. (doi:10.1093/bioinformatics/btn642)

Polajnar, T., Rogers, S. and Girolami, M. (2009) Classification of protein interaction sentences via gaussian processes. Lecture Notes in Computer Science, 5780, pp. 282-292. (doi:10.1007/978-3-642-04031-3_25)

Rogers, S., Girolami, M. and Polajnar, T. (2009) Semi-parametric analysis of multi-rater data. Statistics and Computing, 20(3), pp. 317-334. (doi:10.1007/s11222-009-9125-z)

Rogers, S., Girolami, M., Kolch, W., Waters, K. M., Liu, T., Thrall, B. and Wiley, H. S. (2008) Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models. Bioinformatics, 24(24), pp. 2894-2900. (doi:10.1093/bioinformatics/btn553)

Rogers, S., Khanin, R. and Girolami, M. (2007) Bayesian model-based inference of transcription factor activity. BMC Bioinformatics, 8(Suppl), (doi:10.1186/1471-2105-8-S2-S2)

Rogers, S. and Girolami, M. (2007) Multi-class semi-supervised learning with the e-truncated multinomial probit Gaussian process. Journal of Machine Learning Research: Proceedings Track, 1, pp. 17-32.

Carrivick, L., Rogers, S., Clark, J., Campbell, C., Girolami, M. and Cooper, C. (2006) Identification of prognostic signatures in breast cancer microarray data using bayesian techniques. Journal of the Royal Society: Interface, 3(8), pp. 367-381. (doi:10.1098/rsif.2005.0093)

Girolami, M. and Rogers, S. (2006) Variational Bayesian multinomial probit regression with Gaussian process priors. Neural Computation, 18(8), pp. 1790-1817.

Rogers, S., Girolami, M., Campbell, C. and Breitling, R. (2005) The latent process decomposition of cDNA microarray data sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2(2), pp. 143-156. (doi:10.1109/TCBB.2005.29)

Rogers, S. and Girolami, M. (2005) A Bayesian regression approach to the inference of regulatory networks from gene expression data. Bioinformatics, 21, pp. 3131-3137. (doi:10.1093/bioinformatics/bti487)

Rogers, S., Girolami, M., Krebs, R. and Mischak, H. (2005) Disease classification from capillary electrophoresis: mass spectrometry. Lecture Notes in Computer Science, 3686, pp. 183-191. (doi:10.1007/11551188_20)

Books

Rogers, S. and Girolami, M. (2011) A First Course in Machine Learning. Chapman & Hall / CRC. ISBN 9781439824146

Book Sections

Thuma, E., Rogers, S. and Ounis, I. (2013) Exploiting query logs and field-based models to address term mismatch in an HIV/AIDS FAQ retrieval system. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V. and Vadera, S. (eds.) Natural Language Processing and Information Systems: 18th International Conference on Application of Natural Language to Information Systems, NLDB2013, Salford, UK, June 2013, Proceedings. Series: Lecture Notes in Computer Science (7934). Springer: Berlin, pp. 77-89. ISBN 9783642388231

Rogers, S. (2011) Statistical methods and models for bridging omics data levels. In: Mayer, B. (ed.) Bioinformatics for Omics Data: Methods and Protocols. Series: Methods in molecular biology (719). Humana Press: New York, NY, USA, pp. 133-151. ISBN 9781617790263 (doi:10.1007/978-1-61779-027-0_6)

Rogers, S., Scheltema, R.A., Barrett, M. and Breitling, R. (2011) Bayesian approaches for mass spectrometry-based metabolomics. In: Stumpf, M.P.H., Balding, D.J. and Girolami, M. (eds.) Handbook of Statistical Systems Biology. John Wiley & Sons: Chichester, UK, pp. 467-476. ISBN 9780470710869 (doi:10.1002/9781119970606.ch24)

Rogers, S., Williamson, J., Stewart, C. and Murray-Smith, R. (2010) FingerCloud: uncertainty and autonomy handover incapacitive sensing. In: Mynatt, E. and Schoner, D. (eds.) CHI '10: Proceedings of the 28th International Conference on Human Factors in Computing Systems, 12-15 April 2010, Atlanta, USA. Association for Computing Machinery: New York, NY, USA, pp. 577-580. ISBN 9781605589299 (doi:10.1145/1753326.1753412)

Conference or Workshop Item

Sleeman, D., Rogers, S. , Moss, L., Aitken, A. and Kinsella, J. (2012) INSIGHT: Helping domain experts make their knowledge more consistent. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 22-35.

Conference Proceedings

Noor, M. F. M., Rogers, S. and Williamson, J. (2017) Pre-Interaction Identification by Dynamic Grip Classification. In: 11th International Conference on Ubiquitous Information Management and Communication, Beppu, Japan, 5-7 Jan 2017, pp. 1-7. ISBN 9781450348881 (doi:10.1145/3022227.3022320)

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Parameter Inference in Differential Equation Models of Biopathways using Time Warped Gradient Matching. In: 13th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Stirling, UK, 01-03 Sep 2016, (In Press)

Sun, L., Rogers, S. , Aragon-Camarasa, G. and Siebert, J. P. (2016) Recognising the Clothing Categories from Free-Configuration Using Gaussian-Process-Based Interactive Perception. In: IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 16-21 May 2016, 2464 -2470. (doi:10.1109/ICRA.2016.7487399)

Noor, M. F. M., Rogers, S. and Williamson, J. (2016) Detecting Swipe Errors on Touchscreens Using Grip Modulation. In: CHI 2016, San Jose, CA, USA, 7-12 May 2016, pp. 1909-1920. ISBN 9781450333627 (doi:10.1145/2858036.2858474)

Niu, M., Filippone, M., Husmeier, D. and Rogers, S. (2015) Inference in Nonlinear Differential Equations. In: 30th International Workshop on Statistical Modelling, Linz, Austria, 06-10 Jul 2015, pp. 187-190.

Sun, L., Aragon-Camarasa, G., Rogers, S. and Siebert, J. P. (2015) Accurate Garment Surface Analysis using an Active Stereo Robot Head with Application to Dual-Arm Flattening. In: IEEE International Conference in Robotics and Automation, Seattle, WA., USA, 26-30 May 2015, pp. 185-192. (doi:10.1109/ICRA.2015.7138998)

Noor, M. F. M., Ramsay, A., Hughes, S., Rogers, S., Williamson, J. and Murray-Smith, R. (2014) 28 frames later: predicting screen touches from back-of-device grip changes. In: CHI 2014: ACM CHI Conference on Human Factors in Computing Systems, Toronto, Canada, 26 April - 1 May 2014, pp. 2005-2008. ISBN 9781450324731 (doi:10.1145/2556288.2557148)

Thuma, E., Rogers, S. and Ounis, I. (2014) Detecting missing content queries in an SMS-Based HIV/AIDS FAQ retrieval system. In: 36th European Conference on Information Retrieval, Amsterdam, The Netherlands, 13-16 April 2014, pp. 247-259. (doi:10.1007/978-3-319-06028-6_21)

Weir, D., Pohl, H., Rogers, S., Vertanen, K. and Kristensson, P. O. (2014) Uncertain text entry on mobile devices. In: CHI 2014: ACM CHI Conference on Human Factors in Computing Systems, Toronto, Canada, 26 April - 1 May 2014, pp. 2307-2316. ISBN 9781450324731 (doi:10.1145/2556288.2557412)

Buschek, D., Rogers, S. and Murray-Smith, R. (2013) User-specific touch models in a cross-device context. In: MobileHCI 2013, Munich, Germany, 27-30 Aug 2013,

Dondelinger, F., Filippone, M., Rogers, S. and Husmeier, D. (2013) ODE parameter inference using adaptive gradient matching with Gaussian processes. In: Sixteenth International Conference on Artificial Intelligence and Statistics, Scottsdale, AZ, USA, 29 Apr - 1 May 2013,

Sun, L., Aragon-Camarasa, G., Siebert, J.P. and Rogers, S. (2013) A heuristic-based approach for flattening wrinkled clothes. In: Towards Autonomous Robotic Systems, TAROS 2013, Oxford, UK, 28-30 Aug 2013,

Thuma, E., Rogers, S. and Ounis, I. (2013) Evaluating bad query abandonment in an iterative SMS-Based FAQ retrieval system. In: OAIR 2013, Lisbon, Portugal, 22-24 May 2013, (In Press)

Weir, D., Rogers, S. and Buschek, D. (2013) Sparse selection of training data for touch correction systems. In: MobileHCI 2013, Munich, Germany, 27-30 Aug 2013, pp. 1-4.

Dondelinger, F., Rogers, S., Filippone, M., Cretella, R., Palmer, T., Smith, R., Millar, A. and Husmeier, D. (2012) Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching. In: WCSB2012 - 9th International Workshop on Computational Systems Biology, Ulm, Germany, 4-6 Jun 2012,

Rogers, S., Daly, R. and Breitling, R. (2012) Mixture model clustering for peak filtering in metabolomics. In: WCSB2012 - 9th International Workshop on Computational Systems Biology, Ulm, Germany, 4-6 Jun 2012,

Weir, D., Rogers, S., Murray-Smith, R. and Löchtefeld, M. (2012) A user-specific Machine Learning approach for improving touch accuracy on mobile devices. In: 25th ACM Symposium on User Interface Software and Technology, Cambridge, MA, 7-10 Oct 2012, (doi:10.1145/2380116.2380175)

Rogers, S., Williamson, J., Stewart, C. and Murray-Smith, R. (2011) AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation. In: CHI 2011 : ACM CHI Conference on Human Factors in Computing Systems, Vancouver, B.C., 7-12 May 2011, pp. 2575-2584. (doi:10.1145/1978942.1979318)

Girolami, M. and Rogers, S. (2005) Hierarchic Bayesian models for kernel learning. In: Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany, 7-11 August 2005., pp. 241-248. ISBN 1595931805 (doi:10.1145/1102351.1102382)

This list was generated on Mon Aug 21 22:53:34 2017 BST.