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**75**.

## Article

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.; 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.; Cornford, Dan and Williams, Christopher K. I.
Bayesian inference for wind field retrieval.
*Neurocomputing*, 30
(1-4),
pp. 3-11.

Marcos, J.V.; Homero, R.; Álvarez, D.; Nabney, Ian T.; del Campo, F. and Zamarron, C.
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; Nabney, Ian T. and Ramage, Guillaume
Improved neural network scatterometer forward models.
*Journal of Geophysical Research*, 106
(C10),
pp. 22331-22338.

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

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

Cressy, D.C.; Nabney, Ian T. and Simper, A.
Neural control of a batch distillation.
*Neural Computing and Applications*, 1
(2),
pp. 115-123.

Cornford, Dan; Wright, W.A.; Ramage, Guillaume and Nabney, Ian T.
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.

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

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

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

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

Owen, John R.; Nabney, Ian T.; Medina-Franco, José L. and López-Vallejo, Fabian
Visualization of molecular fingerprints.
*Journal of Chemical Information and Modeling*, 51
(7),
pp. 1552-1563.

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

Cornford, Dan; Ramage, Guillaume and Nabney, Ian T.
A scatterometer neural network sensor model with input noise.
*Neurocomputing*, 30
(1),
pp. 13-21.

## Book Section

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.

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.

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.

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.

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.

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.

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.

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.

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.

Azzouzi, Mehdi and Nabney, Ian T.
*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.

Marcos, J. Victor; Hornero, Roberto; Nabney, Ian T.; Álvarez, Daniel and del Campo, Félix
*Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis.*
IN: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 2011.
Conference proceedings IEEE Engineering in Medicine and Biology Society
.
IEEE.

Nguyen, Hang T. and Nabney, Ian T.
*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.

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

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

Nabney, Ian T.; Evans, David J.; Brule, Yann and Gordon, Caroline
*Evaluating the effectiveness of Bayesian feature selection.*
IN: Applications of probabilistic modelling in medical informatics and bioinformatics.
Dybowski, R.; Husmeier, D. and Roberts, S. J. (eds)
Advanced information and knowledge processing
.
Springer.

Maniyar, Dharmesh M. and Nabney, Ian T.
*Guiding local regression using visualisation.*
IN: Deterministic and statistical methods in machine learning.
Winkler, Joab; Niranjan, Mahesan and Lawrence, Neil (eds)
Lecture Notes in Computer Science
.
Berlin (DE): Springer.

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

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

Azzouzi, Mehdi and Nabney, Ian T.
*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.

Woodcock, D. and Nabney, Ian T.
*Prediction of paroxysmal atrial fibrillation.*
IN: Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005).
Plymouth: BIOPATTERN Network of Excellence.

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

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

Tino, Peter; Nabney, Ian T. and Sun, Yi
*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
.
Springer.

Mumtaz, Shahzad; Randrianandrasana, Michel F.; Bassi, Gurjinder and Nabney, Ian T.
*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
.
Bielefeld (DE): Universität Bielefeld.

## Monograph

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.
(2005).
*EM algorithm for GTM-FS.*
Technical Report.
Aston University, Birmingham.

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

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.

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

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

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

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

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

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

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

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

Hjorth, Lars U. and Nabney, Ian T.
*Regularised mixture density networks for modelling wind direction.*
Technical Report.
Neural Computation Research Group, Birmingham.

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

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

## Conference or Workshop Item

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.

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.
Efficient training of RBF networks for classification.
IN: *9th International Conference on Artificial Neural Networks*. 1999-09-07 - 1999-09-07.

Tino, Peter; Nabney, Ian T.; Sun, Yi and Williams, Bruce S.
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)

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