Browse by Aston Author

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.