# Browse by Aston Author

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**65**.

Almeida, Vania G. and Nabney, Ian T.
(2017).
*Detecting dynamical changes in vital signs using switching Kalman filter.*
IN: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017.
KOR: IEEE.

Endert, A., Ribarsky, W., Turkay, C., Wong, B.L. William, Nabney, I., Díaz Blanco, I. and Rossi, F.
(2017).
The state of the art in integrating machine learning into visual analytics.
*Computer Graphics Forum*, in pre
,

Almeida, Vânia G. and Nabney, Ian T.
(2016).
*Early warnings of heart rate deterioration.*
IN: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016.
USA: IEEE.

Emambakhsh, Mehryar, He, Yulan and Nabney, Ian
(2016).
*Handwritten and machine-printed text discrimination using a template matching approach.*
IN: Proceedings : 12th IAPR International Workshop on Document Analysis Systems, DAS 2016.
GRC: IEEE.

Marcos, J. Víctor, Hornero, Roberto, Nabney, Ian T., Álvarez, Daniel, Gutiérrez-Tobal, Gonzalo C. and del Campo, Félix
(2016).
Regularity analysis of nocturnal oximetry recordings to assist in the diagnosis of sleep apnoea syndrome.
*Medical Engineering and Physics*, 38
(3),
pp. 216-224.

Pararasa, Chathyan, Ikwuobe, John, Shigdar, Shahjahan, Boukouvalas, Alexis, Nabney, Ian T., Brown, James E., Devitt, Andrew, Bailey, Clifford J., Bennett, Stuart J. and Griffiths, Helen R.
(2016).
Age-associated changes in long-chain fatty acid profile during healthy aging promote pro-inflammatory monocyte polarization via PPARγ.
*Aging Cell*, 15
(1),
pp. 128-139.

Mumtaz, Shahzad, Randrianandrasana, Michel F., Bassi, Gurjinder and Nabney, Ian T.
(2015).
*Visualisation of heterogeneous data with simultaneous feature saliency using Generalised Generative Topographic Mapping.*
IN: Workshop new challenges in neural computation 2015.
Hammer, Barbara; Martinetz, Thomas and Villmann, Thomas (eds)
Machine learning reports
.
DEU: Universität Bielefeld.

Bunkute, Egle, Cummins, Christopher, Crofts, Fraser, Bunce, Gareth, Nabney, Ian T. and Flower, Darren R.
(2015).
PIP-DB:the protein isoelectric point database.
*Bioinformatics*, 31
(2),
pp. 295-296.

Randrianandrasana, Michel, Mumtaz, Shahzad and Nabney, Ian
(2015).
*Visualisation of heterogeneous data with the generalised generative topographic mapping.*
IN: Proceedings of the 6th international conference on information visualization theory and applications.
Braz, José; Kerren, Andreas and Linsen, Lars (eds)
DEU: SciTePress.

Chen, Niya, Qian, Zheng, Nabney, Ian T. and Meng, Xiaofeng
(2014).
Wind power forecasts using Gaussian processes and numerical weather prediction.
*IEEE Transactions on Power Systems*, 29
(2),
pp. 656-665.

Plant, William, Lumsden, Jo and Nabney, Ian
(2013).
The mosaic test:measuring the effectiveness of colour-based image retrieval.
*Multimedia Tools and Applications*, 64
(3),
pp. 695-716.

Gill, Waljinder S., Nabney, Ian T. and Wells, D.
(2012).
*Helicopter vibration sensor selection using data visualisation.*
IN: IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012.
Machine learning for signal processing
.
ESP: IEEE.

Mumtaz, Shahzad, Nabney, Ian and Flower, Darren
(2012).
*Novel visualization methods for protein data.*
IN: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).
USA: IEEE.

Maciol, Ryszard, Yuan, Yuan and Nabney, Ian T.
(2011).
Colour image coding with matching pursuit in the spatio-frequency domain.
*Lecture Notes in Computer Science*, 6978
,
pp. 306-317.

López-Vallejo, Fabian, Nefzi, Adel, Bender, Andreas, Owen, John R., Nabney, Ian T., Houghten, Richard A. and Medina-Franco, Jose L. Medina
(2011).
Increased diversity of libraries from libraries: chemoinformatic analysis of bis-diazacyclic libraries.
*Chemical Biology and Drug Design*, 77
(5),
pp. 328-342.

Maciol, Ryszard, Yuan, Yuan and Nabney, Ian
(2011).
*Grayscale and colour image Codec based on matching pursuit in the spatio-frequency domain.*
Aston University.
(Unpublished)

Plant, William, Lumsden, Jo and Nabney, Ian
(2011).
*The mosaic test:benchmarking colour-based image retrieval systems using image mosaics.*
IN: Proceedings of 1st European Workshop on Human-Computer Interaction and Information Retrieval (EuroHCIR).
CEUR workshop proceedings
.
GBR: CEUR-WS.org.

Thi-hang, Nguyen and Nabney, Ian T.
(2010).
Variational inference for Student-t MLP models.
*Neurocomputing*, 73
(16-18),
pp. 2989-2997.

Nguyen, Hang T., Nabney, Ian T. and Non-linearity and Complexity Research Group, School of Engineeri
(2010).
Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models.
*Energy*, 35
(9),
pp. 3674-3685.

Marcos, J.V., Homero, R., Álvarez, D., Nabney, Ian T., del Campo, F. and Zamarron, C.
(2010).
Classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome.
*Physiological Measurement*, 31
(3),
pp. 375-394.

Cornford, Dan, Schroeder, Martin and Nabney, Ian T.
(2009).
*Data visualisation and exploration with prior knowledge.*
IN: Engineering applications of neural networks.
Communications in computer and information science, 43 CCI
.
Beriln (DE): Springer.

Nguyen, Hang T. and Nabney, Ian T.
(2009).
*Energy forward price prediction with a hybrid adaptive model.*
IN: IEEE Symposium on Computational Intelligence for Financial Engineering, 2009. CIFEr '09.
IEEE.

Nguyen, Hang T. and Nabney, Ian T.
(2008).
*Combining the wavelet transform and forecasting models to predict gas forward prices.*
IN: Seventh International Conference on Machine Learning and Applications, 2008. ICMLA '08.
IEEE.

Schroeder, Martin, Nabney, Ian T. and Cornford, Dan
(2008).
*Block GTM: Incorporating prior knowledge of covariance structure in data visualisation.*
Technical Report.
Aston University, Birmingham.

Maniyar, Dharmesh M. and Nabney, Ian T
(2006).
*Visual data mining: integrating machine learning with information visualization.*
IN: Workshop on Multimedia Data Mining “Merging Multimedia and Data Mining Research”.
Zhang, Zhongfei; Masseglia, Florent; Jain, Ramesh and Del Bimbo, Alberto (eds)
ACM.

Woodcock, D. and Nabney, Ian T.
(2006).
*A new entropy measure based on the Renyi entropy rate using Gaussian kernels.*
Technical Report.
Aston University, Birmingham.

Maniyar, Dharmesh M. and Nabney, Ian T.
(2006).
*Data visualization with simultaneous feature selection.*
IN: Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06.
CAN: UNSPECIFIED.

Maniyar, Dharmesh M. and Nabney, Ian T.
(2005).
*EM algorithm for GTM-FS.*
Technical Report.
Aston University, Birmingham.

Maniyar, Dharmesh M. and Nabney, Ian T.
(2005).
Guiding local regression using visualisation.
*Lecture notes in computer science*, 3635/2
,
pp. 98-109.

Nabney, Ian T., Sun, Yi, Tiňo, Peter and Kabán, Ata
(2005).
Semisupervised learning of hierarchical latent trait models for data visualization.
*IEEE Transactions on Knowledge and Data Engineering*, 17
(3),
pp. 384-400.

Maniyar, Dharmesh M. and Nabney, Ian T.
(2005).
*DVMS 1.5: A user manual (the data visualization and modeling system).*
Manual.
Aston University, Birmingham.

Nabney, Ian T.
(2004).
Efficient training of RBF networks for classification.
*International Journal of Neural Systems*, 14
(3),
pp. 201-208.

Bullen, Robert, Cornford, Dan and Nabney, Ian T.
(2003).
Outlier detection in scatterometer data:Neural network approaches.
*Neural Networks*, 16
(3-4),
pp. 419-426.

Tino, Peter and Nabney, Ian T.
(2002).
Hierarchical GTM: constructing localized non-linear projection manifolds in a principled way.
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 24
(5),
pp. 639-656.

Cornford, Dan, Nabney, Ian T. and Williams, Christopher K. I.
(2002).
Modelling frontal discontinuities in wind fields.
*Journal of Nonparametric Statistics*, 14
(1-2),
pp. 43-58.

Tino, Peter, Sun, Yi and Nabney, Ian T.
(2002).
Semi-supervised construction of general visualization hierarchies.
IN: *International Conference on Artificial Intelligence, 2002*. 2002-01-01 - 2002-01-01.

Sun, Yi, Tino, Peter, Kaban, Ata and Nabney, Ian T.
(2002).
*Semi-supervised learning of hierarchical latent trait models for data visualisation.*
Technical Report.
Aston University, Birmingham, UK.

Tino, Peter, Nabney, Ian T., Sun, Yi and Williams, Bruce S.
(2002).
A principled approach to interactive hierarchical non-linear visualization of high-dimensional data.
IN: *Interface '01 - Frontiers in Data Mining and Bioinformatics*. 2002-01-01 - 2002-01-01.
(Submitted)

Cornford, Dan, Nabney, Ian T. and Ramage, Guillaume
(2001).
Improved neural network scatterometer forward models.
*Journal of Geophysical Research*, 106
(C10),
pp. 22331-22338.

Tino, Peter, Nabney, Ian T. and Sun, Yi
(2001).
*Using directional curvatures to visualize folding patterns of the GTM projection manifolds.*
IN: Artificial Neural Networks — ICANN 2001.
Dorffner, G.; Bischof, H. and Hornik., K. (eds)
Lecture Notes in Computer Science, 2130
.
AUT: Springer.

Azzouzi, M and Nabney, Ian T.
(2001).
Dynamical local models for segmentation and prediction of financial time series.
*European Journal of Finance*, 7
(4),
pp. 289-311.

Sun, Yi, Tino, Peter and Nabney, Ian T.
(2001).
*GTM-based data visualisation with incomplete data.*
Technical Report.
Aston University, Birmingham, UK.
(Unpublished)

Tino, Peter and Nabney, Ian
(2000).
*Hierarchical GTM: Constructing localized non-linear projection manifolds in a principled way.*
Technical Report.
Aston University.
(Unpublished)

Cornford, Dan, Nabney, Ian T. and Ramage, Guillaume
(2000).
*Improved multi-beam neural network scatterometer forward models.*
Technical Report.
Aston University, Birmingham, UK.

Cornford, Dan, Wright, W.A., Ramage, Guillaume and Nabney, Ian T.
(2000).
Neural network modelling with input uncertainty:theory and application.
*Journal of VLSI Signal Processing Systems for Signal Image and Video Technology*, 26
(1-2),
pp. 169-188.

Cornford, Dan, Nabney, Ian T. and Bishop, Christopher M.
(1999).
*Neural network-based wind vector retrieval from satellite scatterometer data.*
Technical Report.
Aston University, Birmingham.

Cornford, Dan, Nabney, Ian T. and Williams, Christopher K. I.
(1999).
Adding constrained discontinuities to Gaussian process models of wind fields.
*Advances in Neural Information Processing Systems*, 11
,
pp. 861-867.

Nabney, Ian T.
(1999).
Efficient training of RBF networks for classification.
IN: *9th International Conference on Artificial Neural Networks*. 1999-09-07 - 1999-09-07.

Azzouzi, Mehdi and Nabney, Ian T.
(1999).
*Modelling financial time series with switching state space models.*
IN: Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering.
Port Jefferson, NY: IEEE.

Hjorth, Lars U. and Nabney, Ian T.
(1999).
*Regularisation of mixture density networks.*
IN: Ninth International Conference on Artificial Neural Networks, 1999.
IET conference publications, 2
.
GBR: IET.

Azzouzi, Mehdi and Nabney, Ian T.
(1999).
*Time delay estimation with hidden Markov models.*
IN: Ninth International Conference on Artificial Neural Networks, 1999 (ICANN).
Edinburgh, UK: IEEE.

Cornford, Dan, Nabney, Ian T., Williams, Christopher K. I., Kearns, Michael S., Solla, Sara A. and Cohn, David A.
(1998).
*Adding constrained discontinuities to Gaussian process models of wind fields.*
Technical Report.
Aston University, Birmingham.

Cornford, Dan, Nabney, Ian T. and Williams, Christopher K. I.
(1998).
*Bayesian inference for wind field retrieval.*
Technical Report.
Aston University, Birmingham.

Evans, David J., Cornford, Dan and Nabney, Ian T.
(1998).
*Structured neural network modelling of multi-valued functions for wind retrieval from scatterometer measurements.*
Technical Report.
Aston University, Birmingham.

Cornford, Dan, Ramage, Guillaume and Nabney, Ian T.
(1998).
*A scatterometer neural network sensor model with input noise.*
Technical Report.
Aston University, Birmingham.

Azzouzi, Mehdi and Nabney, Ian T.
(1998).
*Analysing time series structure with hidden Markov models.*
IN: Proceedings of the 1998 IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing VIII, 1998.
Constantinides, Tony; Kung, S. Y.; Niranjan, Mahesan and Wilson, Elizabeth (eds)
Proceedings of the 1998 IEEE Signal Processing Society Workshop, 8
.
Cambridge, UK: IEEE.

Azzouzi, Mehdi and Nabney, Ian T.
(1998).
*Delay estimation for multivariate time series.*
Technical Report.
Aston University, Aston University, Birmingham, UK.

Cornford, Dan and Nabney, Ian T.
(1998).
*NEUROSAT: an overview.*
Technical Report.
Aston University, Birmingham.

West, Ansgar H. L., Saad, David and Nabney, Ian T.
(1997).
The learning dynamics of a universal approximator.
*Advances in Neural Information Processing Systems*, 9
,
pp. 288-294.

Nabney, Ian T. and Cheng, H. W.
(1997).
Estimating conditional volatility with neural networks.
IN: *Fourth Internation Conference: Forecasting Financial Markets*. 1997-01-01 - 1997-01-01.

Nabney, Ian T., Paven, Mickael J S, Eldridge, Richard C and Lee, Clive
(1997).
*Practical assessment of neural network applications.*
IN: SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security.
Daniel, Peter (ed.)
London: Springer.

Bishop, Christopher M. and Nabney, Ian T.
(1996).
Modelling conditional probability distributions for periodic variables.
*Neural Computation*, 8
(5),
pp. 209-214.

Nabney, Ian T., McLachlan, Alan and Lowe, David
(1996).
*Practical methods of tracking of nonstationary time series applied to real-world data.*
IN: Applications and science of artificial neural networks II.
Rogers, S.K. and Ruck, D.W. (eds)
SPIE proceedings, 2760
.
USA: SPIE.

Nabney, Ian T., Bishop, Christopher M. and Legleye, C.
(1995).
*Modelling conditional probability distributions for periodic variables.*
IN: Fourth International Conference on Artificial Neural Networks.
GBR: IEEE.

Nabney, Ian T. and Bishop, Christopher M.
(1995).
*Modelling wind direction from satellite scatterometer data.*
Technical Report.
Aston University, Birmingham.

**Sun Nov 29 02:19:10 2020 GMT**.