# Browse by Aston Author

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**34**.

## 2017

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.
IEEE.

## 2016

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.
IEEE.

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.

## 2014

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.

## 2013

Gill, Waljinder S.; Nabney, Ian T. and Wells, Daniel
(2013).
*Inference of helicopter airframe condition.*
IN: 2013 IEEE International Workshop on Machine Learning for Signal Processing September 22-25, Southampton, United Kingdom. Proceedings MLSP2013.
Sanei, Saeid; Smaragdis, Paris; Nandi, Asoke and et al, (eds)
Machine learning for signal processing
.
IEEE.

Chen, Niya; Qian, Zheng; Meng, Xiaofeng and Nabney, Ian T.
(2013).
*Short-term wind power forecasting using Gaussian processes.*
IN: Proceedings of the twenty-third International Joint Conference on Artificial Intelligence.
AAAI.

## 2011

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.

## 2009

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.

## 2008

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.

## 2006

Maniyar, Dharmesh M. and Nabney, Ian T.
(2006).
*Visual data mining using principled projection algorithms and information visualization techniques.*
IN: Proceedings of the Twelfth ACM SIGKDD international conference on knowledge discovery and data mining.
New York (US): ACM.

Maniyar, Dharmesh M.; Nabney, Ian T.; Williams, Bruce S. and Sewing, Andreas
(2006).
Data visualization during the early stages of drug discovery.
*Journal of Chemical Information and Modeling*, 46
(4),
pp. 1806-1818.

## 2005

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.

## 2004

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

## 2003

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.

## 2002

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.

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.

## 2001

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.

## 2000

Hjorth, Lars U. and Nabney, Ian T.
(2000).
*Bayesian training of mixture density networks.*
IN: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000. IJCNN 2000.
Piscataway, NJ, United States: IEEE.

Evans, David J.; Cornford, Dan and Nabney, Ian T.
(2000).
Structured neural network modelling of multi-valued functions for wind retrieval from scatterometer measurements.
*Neurocomputing*, 30
(1-4),
pp. 23-30.

## 1999

Cornford, Dan; Nabney, Ian T. and Bishop, Christopher M.
(1999).
Neural network-based wind vector retrieval from satellite scatterometer data.
*Neural Computing and Applications*, 8
(3),
pp. 206-217.

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.

Cornford, Dan; Nabney, Ian T. and Evans, David J.
(1999).
*Bayesian retrieval of scatterometer wind fields.*
Technical Report.
Aston University, Birmingham.
(Unpublished)

## 1998

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.

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.

## 1997

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.

## 1996

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
.
SPIE.

## 1995

Nabney, Ian T.; Dunis, Christian; Dallaway, Richard; Leong, Swee and Redshaw, Wendy
(1995).
Leading edge forecasting techniques for exchange rate prediction.
*European Journal of Finance*, 1
(4),
pp. 311-323.

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

## 1991

Nabney, Ian T. and Grasl, O.
(1991).
*Rule induction for data exploration.*
IN: Proceedings of Avignon 91: Expert systems and their applications.
EC2 et Cie.

**Tue Apr 10 01:10:44 2018 BST**.