Professor Ian Nabney

Executive Dean

Phone number: 0121 204 3645
Email: [email protected]
Room number: MB140

Profile

After studying mathematics for a BA at Oxford, I moved to Cambridge to do my PhD, which was in abstract algebra. I then spent five years with Logica (a UK software house) at their R&D lab, where I developed a wide range of neural network applications and also worked in formal methods.

I am currently the Executive Dean for the School of Engineering and Applied Science, and at the University level I am Associate PVC International for China. I am a 50th Anniversary Professor of Systems Analytics. I was formerly Head of Computer Science (2009-2016), Head of Mathematics (2012-2015) and Associate Dean for Research in the School (2006-2008).

I have led the introduction of a range of innovations at Aston: a university-wide research publication repository; work-based Degree Apprenticeships recruiting more than 70 students (featured in `Forging Futures', a recent UUK/UKCES report on university/employer collaboration); and a student-led software company to provide on-campus experience of industrial-standard software development. Externally to Aston, I am the chair of the Natural Computing Applications Forum (NCAF) and have organised the scientific program for many of their meetings. In my spare time I play the piano.

BA with First Class Honours in Mathematics, University of Oxford, 1985
Master of Advanced Study in Mathematics (Distinction), University of Cambridge, 1986
PhD in Mathematics, University of Cambridge, 1989
Fellow of the Higher Education Academy, 1998

2004 – date: Professor of Computer Science, School of Engineering and Applied Science, Aston University.
2001 – 2004: Senior Lecturer in Mathematics, School of Engineering and Applied Science, Aston University.
1995 – 2001: Lecturer in Mathematics, School of Engineering and Applied Science, Aston University.
1989 – 1995: Consultant at Logica Cambridge Ltd.

My current teaching focuses on software development (a first-year 20-credit module: Java Program Development CS1410). In the past I have taught a wide range of mathematics (statistics, numerical analysis, maths for computer science, group project skills), machine learning (a final-year Data Mining module and at Master's level: algorithms and computational mathematics), and software (object-oriented programming in C++ and Java, software project management) modules.

My research spans both the theory and applications of neural networks and other pattern recognition techniques, with a special focus on data visualisation and probabilistic modelling. Much of my work is inspired, directly or indirectly, by industrial problems in bioinformatics, biosignal processing, condition monitoring, remote sensing and financial forecasting. I have put my experience of software engineering to good use through developing the Netlab toolboxfor neural networks and related pattern analysis techniques: this has now been downloaded more than 45,000 times and the accompanying book has 1000 citations. I am a member of the Institute of System Analytics. Between October 2000 and June 2002 I was the Director of the Cardionetics Institute of Bioinformatics, which researched methods for extracting clinically valuable information from electrocardiogram (ECG) data. The current focus of my research is in data visualisation (representing high-dimensional data faithfully in 2D so that users can analyse its structure visually) and time series analysis and characterisation (with applications in biomedical signal processing and condition monitoring of complex machinery).

I am also actively involved with ARCHA (Aston Research Centre in Health Ageing). I am working with a research assistant to investigate change-points in peoples' quality of life as they age and also on statistical modelling of biological data.

Current grants:

EPSRC CASE award with Agusta Westland (c. £80k).
TSB project in data visualisation with IGI and Daden (c. £120k to Aston).
TSB project in intelligent document management with Folding Space and MISL (c. £120k to Aston).

Completed grants:

BBSRC CASE award with Pfizer Central Research: in silico modelling of drug-like molecules. (c. £80k) Completed 2011.
EPSRC CASE award with IGI Ltd.: visualisation of geochemical data. (c. £80k). Completed 2010.
dstl and Daden Ltd.: virtual worlds for immersive visualisation of data. Completed 2011.
EPSRC CASE award with Rolls-Royce (c. £80k). Completed 2012.
KTP with Factory Master Ltd. (jointly with Dr. Jort van Mourik) (£120k). Completed 2012.
KTP with BlackPepper Ltd. (jointly with Dr. Tony Beaumont and Dr. Sylvia Wong) (£120). Completed 2014.

Waljinder Gill: Diagnostics and Inference for Helicopter Airframe Vibration Data. Project in collaboration with AgustaWestland.
Shahzad Mumtaz: Visualisation of Bioinformatics Data.

Tom Richens: Morphological Analysis to Improve WordNet. (Jointly supervised with Ramesh Krishnamurthy)
Joel Subash: Bioimpedance for Measuring Obesity (primary supervisor Cliff Bailey).
Thi Hang Nguyen: Forecasting Electricity Demand and Price. Project in collaboration with E.ON.
John Owen: In silico Modelling of Drug-like Molecules. Project in collaboration with Pfizer Central Research.
Martin Schroeder: Visualisation of Geochemical Data. (Jointly supervised with Dan Cornford).
Will Plant: Effective Search for Colour Images (jointly supervised with Joanna Lumsden)
Ryszard Maciol: Sparse Approximation and Compression of Colour Images
Ben Fletcher: High-throughput 3D Medical Image Analysis. (Part-time)

Member of the British Computer Society
Member of the Institute of Mathematics and its Applications
Fellow of the Higher Education Academy

Patelli, A, Lewis, PR , Wang, H , Nabney, I, Bennett, D & Lucas, R 2018,GCG aviator: A decision support agent for career management. inArtificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers.vol. 732, Communications in Computer and Information Science, vol. 732, Springer, pp. 143-147, 2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016, Birmingham, United Kingdom, 14-15 June. DOI:10.1007/978-3-319-90418-4_13
Mumtaz, S, Nabney, IT & Flower, DR 2017, 'Scrutinizing human MHC polymorphism: supertype analysis using Poisson-Boltzmann electrostatics and clustering' Journal of Molecular Graphics and Modelling, vol. 77, pp. 130-136. DOI:10.1016/j.jmgm.2017.07.033
Almeida, VG & Nabney, IT 2017,Detecting dynamical changes in vital signs using switching Kalman filter. in2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017.IEEE, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island, Korea, Republic of, 11-15 July.
Patelli, A , Lewis, PR , Ekárt, A , Wang, H , Nabney, IT, Bennett, D, Lucas, R & Cole, A 2017, 'An architecture for the autonomic curation of crowdsourced knowledge' Cluster Computing, vol. in press. DOI:10.1007/s10586-017-0908-2
Endert, A, Ribarsky, W, Turkay, C, Wong, BLW, Nabney, I, Díaz Blanco, I & Rossi, F 2017, 'The state of the art in integrating machine learning into visual analytics' Computer Graphics Forum, vol. in press. DOI:10.1111/cgf.13092
Almeida, VG & Nabney, IT 2016,Early warnings of heart rate deterioration. in2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016.IEEE, pp. 940-943, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, United States, 16-20 August. DOI:10.1109/EMBC.2016.7590856
Marcos, JV, Hornero, R, Nabney, IT, Álvarez, D, Gutiérrez-Tobal, GC & del Campo, F 2016, 'Regularity analysis of nocturnal oximetry recordings to assist in the diagnosis of sleep apnoea syndrome' Medical Engineering and Physics, vol. 38, no. 3, pp. 216-224. DOI:10.1016/j.medengphy.2015.11.010
Pararasa, C, Ikwuobe, J, Shigdar, S, Boukouvalas, A, Nabney, IT , Brown, JE , Devitt, A , Bailey, CJ, Bennett, SJ & Griffiths, HR 2016, 'Age-associated changes in long-chain fatty acid profile during healthy aging promote pro-inflammatory monocyte polarization via PPAR?' Aging Cell, vol. 15, no. 1, pp. 128-139. DOI:10.1111/acel.12416
Pararasa, C, Ikwuobe, J, Shigdar, S, Boukouvalas, A, Nabney, IT , Brown, JE , Devitt, A , Bailey, CJ, Bennett, SJ & Griffiths, HR 2016, 'Age-associated changes in long-chain fatty acid profile during healthy aging promote pro-inflammatory monocyte polarization via PPAR?' Aging Cell, vol. 15, no. 1, pp. 128-139,10.1111/acel.12416
Emambakhsh, M , He, Y & Nabney, I 2016,Handwritten and machine-printed text discrimination using a template matching approach. inProceedings : 12th IAPR International Workshop on Document Analysis Systems, DAS 2016.IEEE, pp. 399-404, 12th IAPR International Workshop on Document Analysis Systems, Santorini, Greece, 11-14 April. DOI:10.1109/DAS.2016.22
Patelli, A , Lewis, PR , Wang, H , Nabney, I, Bennett, D, Lucas, R & Coles, A 2016,Autonomic curation of crowdsourced knowledge: the case of career data management. inProceedings : 2016 International Conference on Cloud and Autonomic Computing: co-located with the Tenth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016), ICCAC 2016.IEEE, pp. 40-49, 2016 International Conference on Cloud and Autonomic Computing, Augsburg, Germany, 12-16 September. DOI:10.1109/ICCAC.2016.20
Mumtaz, S, Randrianandrasana, MF, Bassi, G & Nabney, IT 2015,Visualisation of heterogeneous data with simultaneous feature saliency using Generalised Generative Topographic Mapping. in B Hammer, T Martinetz & T Villmann (eds),Workshop new challenges in neural computation 2015.Machine learning reports, no. 03/2015, Universität Bielefeld, Bielefeld (DE), pp. 114-121, Workshop new challenges in neural computation 2015, Aachen, Germany, 10-10 October.
Bunkute, E, Cummins, C, Crofts, F, Bunce, G, Nabney, IT & Flower, DR 2015, 'PIP-DB: the protein isoelectric point database' Bioinformatics, vol. 31, no. 2, pp. 295-296. DOI:10.1093/bioinformatics/btu637
Randrianandrasana, M, Mumtaz, S & Nabney, I 2015,Visualisation of heterogeneous data with the generalised generative topographic mapping. in J Braz, A Kerren & L Linsen (eds),Proceedings of the 6th international conference on information visualization theory and applications., 28, SciTePress, pp. 233-238, 6th International Conference on Information Visualization Theory and Applications, Berlin, Germany, 11-14 March.
Sittidech, P, Nai-arun, N & Nabney, IT 2015, 'Bagging model with cost sensitive analysis on diabetes data' Information Technology Journal, vol. 11, no. 1, pp. 82-90.
Chen, N, Qian, Z, Nabney, IT & Meng, X 2014, 'Wind power forecasts using Gaussian processes and numerical weather prediction' IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 656-665. DOI:10.1109/TPWRS.2013.2282366
Mumtaz, S, Flower, DR & Nabney, I 2014,Multi-level visualisation using Gaussian process latent variable models. in RS Laramee, A Kerren & J Braz (eds),IVAPP 2014: proceedings of the 5th international conference on Information Visualization Theory and Applications.SciTePress, Lisbon (PT), pp. 122-129, 5th international conference on Information Visualization Theory and Applications, Lisbon, Portugal, 5-8 January.
Plant, W, Lumsden, J & Nabney, I 2013, 'The mosaic test: measuring the effectiveness of colour-based image retrieval' Multimedia Tools and Applications, vol. 64, no. 3, pp. 695-716. DOI:10.1007/s11042-011-0951-6
Chen, N, Qian, Z, Meng, X & Nabney, IT 2013,Short-term wind power forecasting using Gaussian processes. inProceedings of the twenty-third International Joint Conference on Artificial Intelligence.AAAI, pp. 2790-2796, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, 3-9 August.
Gill, WS, Nabney, IT & Wells, D 2013,Inference of helicopter airframe condition. in S Sanei, P Smaragdis, A Nandi & et al (eds),2013 IEEE International Workshop on Machine Learning for Signal Processing September 22-25, Southampton, United Kingdom. Proceedings MLSP2013.Machine learning for signal processing, IEEE, 16th IEEE international workshop on Machine Learning for Signal Processing, Southampton, United Kingdom, 22-25 September. DOI:10.1109/MLSP.2013.6661960
Gill, WS, Nabney, IT & Wells, D 2012,Helicopter vibration sensor selection using data visualisation. inIEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012.Machine learning for signal processing, IEEE, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2012), Santander, Spain, 23-26 September. DOI:10.1109/MLSP.2012.6349808
Mumtaz, S, Nabney, I & Flower, D 2012,Novel visualization methods for protein data. in2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).IEEE, pp. 198-205, 2012 IEEE symposium on computational intelligence in bioinformatics and computational biology, San Diego, California, United States, 9-12 May.
Maciol, R , Yuan, Y & Nabney, IT 2011, 'Colour image coding with matching pursuit in the spatio-frequency domain' Lecture Notes in Computer Science, vol. 6978, pp. 306-317. DOI:10.1007/978-3-642-24085-0
Owen, JR, Nabney, IT, Medina-Franco, JL & López-Vallejo, F 2011, 'Visualization of molecular fingerprints' Journal of Chemical Information and Modeling, vol. 51, no. 7, pp. 1552-1563. DOI:10.1021/ci1004042
López-Vallejo, F, Nefzi, A, Bender, A, Owen, JR, Nabney, IT, Houghten, RA & Medina-Franco, JLM 2011, 'Increased diversity of libraries from libraries:chemoinformatic analysis of bis-diazacyclic libraries' Chemical Biology and Drug Design, vol. 77, no. 5, pp. 328-342. DOI:10.1111/j.1747-0285.2011.01100.x
Maciol, R , Yuan, Y & Nabney, I 2011,Grayscale and colour image Codec based on matching pursuit in the spatio-frequency domain. Aston University.
Plant, W, Lumsden, J & Nabney, I 2011,The mosaic test: benchmarking colour-based image retrieval systems using image mosaics. inProceedings of 1st European Workshop on Human-Computer Interaction and Information Retrieval (EuroHCIR).CEUR workshop proceedings, vol. 763, CEUR-WS.org, pp. 23-26, 1st European Workshop on Human-Computer Interaction and Information Retrieval, Newcastle, United Kingdom, 4 July.
Marcos, JV, Hornero, R, Nabney, IT, Álvarez, D & del Campo, F 2011,Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis. inAnnual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 2011.Conference proceedings IEEE Engineering in Medicine and Biology Society, IEEE, pp. 1745-1748, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston (MA), United States, 30-3 September. DOI:10.1109/IEMBS.2011.6090499
Thi-hang, N & Nabney, IT 2010, 'Variational inference for Student-t MLP models' Neurocomputing, vol. 73, no. 16-18, pp. 2989-2997. DOI:10.1016/j.neucom.2010.07.009
Nguyen, HT, Nabney, IT & Non-linearity and Complexity Research Group, School of Engineering and Applied Science, Aston University 2010, 'Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models' Energy, vol. 35, no. 9, pp. 3674-3685. DOI:10.1016/j.energy.2010.05.013
Marcos, JV, Homero, R, Álvarez, D, Nabney, IT, del Campo, F & Zamarron, C 2010, 'Classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome' Physiological Measurement, vol. 31, no. 3, pp. 375-394. DOI:10.1088/0967-3334/31/3/007
Cornford, D, Schroeder, M & Nabney, IT 2009,Data visualisation and exploration with prior knowledge. inEngineering applications of neural networks.vol. 43 CCIS, Communications in computer and information science, vol. 43, Springer, Beriln (DE), pp. 113-142. DOI:10.1007/978-3-642-03969-0_13
Nguyen, HT & Nabney, IT 2009,Energy forward price prediction with a hybrid adaptive model. inIEEE Symposium on Computational Intelligence for Financial Engineering, 2009. CIFEr ' 09.IEEE, pp. 66-71. DOI:10.1109/CIFER.2009.4937504
Nguyen, HT & Nabney, IT 2008,Combining the wavelet transform and forecasting models to predict gas forward prices. inSeventh International Conference on Machine Learning and Applications, 2008. ICMLA ' 08.IEEE, pp. 311-317. DOI:10.1109/ICMLA.2008.37
Schroeder, M, Nabney, IT & Cornford, D 2008 'Block GTM: Incorporating prior knowledge of covariance structure in data visualisation' Aston University, Birmingham.
Van Calster, B, Nabney, I, Timmerman, D & Van Huffel, S 2007, 'The Bayesian approach: A natural framework for statistical modeling' Ultrasound in Obstetrics and Gynecology, vol. 29, no. 5, pp. 485-488. DOI:10.1002/uog.3995
Maniyar, DM & Nabney, IT 2006,Visual data mining using principled projection algorithms and information visualization techniques. inProceedings of the Twelfth ACM SIGKDD international conference on knowledge discovery and data mining.vol. 2006, ACM, New York (US), pp. 643-648, 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, United States, 20-23 August. DOI:10.1145/1150402.1150481
Maniyar, DM & Nabney, IT 2006,Visual data mining: integrating machine learning with information visualization. in Z Zhang, F Masseglia, R Jain & A Del Bimbo (eds),Workshop on Multimedia Data Mining “Merging Multimedia and Data Mining Research”.ACM, pp. 143-152.
Woodcock, D & Nabney, IT 2006 'A new entropy measure based on the Renyi entropy rate using Gaussian kernels' Aston University, Birmingham.
Maniyar, DM, Nabney, IT, Williams, BS & Sewing, A 2006, 'Data visualization during the early stages of drug discovery' Journal of Chemical Information and Modeling, vol. 46, no. 4, pp. 1806-1818. DOI:10.1021/ci050471a
Maniyar, DM & Nabney, IT 2006,Data visualization with simultaneous feature selection. inProceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB' 06.pp. 156-163, 3rd symposium on Computational Intelligence in Bioinformatics and Computational Biology, Toronto, ON, Canada, 28-29 September. DOI:10.1109/CIBCB.2006.330985
Maniyar, DM & Nabney, IT 2005,Guiding local regression using visualisation. in J Winkler, M Niranjan & N Lawrence (eds),Deterministic and statistical methods in machine learning.Lecture Notes in Computer Science, vol. 3635, Springer, Berlin (DE), pp. 98-109, 1st International Workshop on Deterministic and Statistical Methods in Machine Learning, Sheffield, United Kingdom, 7-10 September. DOI:10.1007/11559887_6
Maniyar, DM & Nabney, IT 2005 'EM algorithm for GTM-FS' Aston University, Birmingham.
Nabney, IT, Sun, Y, Tino, P & Kabán, A 2005, 'Semisupervised learning of hierarchical latent trait models for data visualization' IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 3, pp. 384-400. DOI:10.1109/TKDE.2005.49
Maniyar, DM & Nabney, IT 2005 'DVMS 1.5: A user manual (the data visualization and modeling system)' Aston University, Birmingham.
Woodcock, D & Nabney, IT 2005,Prediction of paroxysmal atrial fibrillation. inProceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005).BIOPATTERN Network of Excellence, Plymouth, pp. 376-382, Second International Conference on Computational Intelligence in Medicine and Healthcare, 1-1 January.
Nabney, IT, Evans, DJ, Brule, Y & Gordon, C 2005,Evaluating the effectiveness of Bayesian feature selection. in R Dybowski, D Husmeier & SJ Roberts (eds),Applications of probabilistic modelling in medical informatics and bioinformatics.Advanced information and knowledge processing, Springer, pp. 371-389. DOI:10.1007/1-84628-119-9_12
D' Alimonte, D, Lowe, D , Nabney, IT, Mersinias, V & Smith, CP 2005, 'MILVA: An interactive tool for the exploration of multidimensional microarray data' Bioinformatics, vol. 21, no. 22, pp. 4192-4193. DOI:10.1093/bioinformatics/bti676
Nabney, IT 2004, 'Efficient training of RBF networks for classification.' International Journal of Neural Systems, vol. 14, no. 3, pp. 201-208. DOI:10.1142/S0129065704001930
Bullen, R, Cornford, D & Nabney, IT 2003, 'Outlier detection in scatterometer data: Neural network approaches' Neural Networks, vol. 16, no. 3-4, pp. 419-426. DOI:10.1016/S0893-6080(03)00013-3
Tino, P & Nabney, IT 2002, 'Hierarchical GTM: constructing localized non-linear projection manifolds in a principled way' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 639-656. DOI:10.1109/34.1000238
Tino, P, Sun, Y & Nabney, IT 2002, 'Semi-supervised construction of general visualization hierarchies' Paper presented at International Conference on Artificial Intelligence, 2002,1/01/02 -1/01/02 , pp. 1-7.
Tino, P, Nabney, IT, Sun, Y & Williams, BS 2002, 'A principled approach to interactive hierarchical non-linear visualization of high-dimensional data' Paper presented at Interface ' 01 - Frontiers in Data Mining and Bioinformatics,1/01/02 -1/01/02 , .
Sun, Y, Tino, P, Kaban, A & Nabney, IT 2002 'Semi-supervised learning of hierarchical latent trait models for data visualisation' Aston University, Birmingham, UK.
Cornford, D , Nabney, IT & Williams, CKI 2002, 'Modelling frontal discontinuities in wind fields' Journal of Nonparametric Statistics, vol. 14, no. 1-2, pp. 43-58. DOI:10.1080/10485250211392
Cornford, D , Nabney, IT & Ramage, G 2001, 'Improved neural network scatterometer forward models' Journal of Geophysical Research, vol. 106, no. C10, 2000JC000417, pp. 22331-22338. DOI:10.1029/2000JC000417
Tino, P, Nabney, IT & Sun, Y 2001,Using directional curvatures to visualize folding patterns of the GTM projection manifolds. in G Dorffner, H Bischof & K Hornik. (eds),Artificial Neural Networks — ICANN 2001.vol. 2130, Lecture Notes in Computer Science, Springer, pp. 421-428, International Conference on Artificial Neural Networks, ICANN 2001, Vienna, Austria, 21-25 August. DOI:10.1007/3-540-44668-0_59
Sun, Y, Tino, P & Nabney, IT 2001 'GTM-based data visualisation with incomplete data' Aston University, Birmingham, UK.
Azzouzi, M & Nabney, IT 2001, 'Dynamical local models for segmentation and prediction of financial time series' European Journal of Finance, vol. 7, no. 4, pp. 289-311. DOI:10.1080/13518470110071155
Hjorth, LU & Nabney, IT 2000,Bayesian training of mixture density networks. inProceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000. IJCNN 2000.vol. 4, IEEE, Piscataway, NJ, United States, pp. 455-460, International Joint Conference on Neural Networks, Como, Italy, 24-27 July. DOI:10.1109/IJCNN.2000.860813
Nabney, IT , Cornford, D & Williams, CKI 2000, 'Bayesian inference for wind field retrieval' Neurocomputing, vol. 30, no. 1-4, pp. 3-11. DOI:10.1016/S0925-2312(99)00136-8
Evans, DJ, Cornford, D & Nabney, IT 2000, 'Structured neural network modelling of multi-valued functions for wind retrieval from scatterometer measurements' Neurocomputing, vol. 30, no. 1-4, pp. 23-30. DOI:10.1016/S0925-2312(99)00138-1
Cornford, D, Ramage, G & Nabney, IT 2000, 'A scatterometer neural network sensor model with input noise' Neurocomputing, vol. 30, no. 1, pp. 13-21. DOI:10.1016/S0925-2312(99)00137-X
Cornford, D, Wright, WA, Ramage, G & Nabney, IT 2000, 'Neural network modelling with input uncertainty: theory and application' Journal of VLSI Signal Processing Systems for Signal Image and Video Technology, vol. 26, no. 1-2, pp. 169-188. DOI:10.1023/A:1008111920791
Cornford, D , Nabney, IT & Ramage, G 2000 'Improved multi-beam neural network scatterometer forward models' Aston University, Birmingham, UK.
Tino, P & Nabney, I 2000 'Hierarchical GTM: Constructing localized non-linear projection manifolds in a principled way' Aston University.
Tino, P & Nabney, I 2000 'Constructing localized non-linear projection manifolds in a principled way: hierarchical generative topographic mapping' .
Cornford, D , Nabney, IT & Bishop, CM 1999, 'Neural network-based wind vector retrieval from satellite scatterometer data' Neural Computing and Applications, vol. 8, no. 3, pp. 206-217. DOI:10.1007/s005210050023
Cornford, D , Nabney, IT & Bishop, CM 1999 'Neural network-based wind vector retrieval from satellite scatterometer data' Aston University, Birmingham.
Cornford, D , Nabney, IT, Williams, CKI, Kearns, MS (ed.), Solla, SA (ed.) & Cohn, DA (ed.) 1999, 'Adding constrained discontinuities to Gaussian process models of wind fields' Advances in Neural Information Processing Systems, vol. 11, pp. 861-867.
Cornford, D , Nabney, IT & Evans, DJ 1999 'Bayesian retrieval of scatterometer wind fields' Aston University, Birmingham.
Hjorth, LU & Nabney, IT 1999,Regularisation of mixture density networks. inNinth International Conference on Artificial Neural Networks, 1999: ICANN 99.vol. 2, IET conference publications, no. 470, IET, pp. 521-526, 9th International Conference on Artificial Neural Networks, Edinburgh, United Kingdom, 7-7 September. DOI:10.1049/cp:19991162
Nabney, IT 1999, 'Efficient training of RBF networks for classification' Paper presented at 9th International Conference on Artificial Neural Networks, Edinburgh, United Kingdom,7/09/99 -7/09/99 , pp. 210-215.
Hjorth, LU & Nabney, IT 1999 'Regularised mixture density networks for modelling wind direction' Neural Computation Research Group, Birmingham.
Azzouzi, M & Nabney, IT 1999,Time delay estimation with hidden Markov models. inNinth International Conference on Artificial Neural Networks, 1999 (ICANN).vol. 1, IEEE, Edinburgh, UK, pp. 473-478, Ninth International conference on Artificial Neural Networks, 1-1 January.
Azzouzi, M & Nabney, IT 1999,Modelling financial time series with switching state space models. inProceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering.IEEE, Port Jefferson, NY, pp. 240-249, IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1-1 January. DOI:10.1109/CIFER.1999.771123
Cornford, D , Nabney, IT, Williams, CKI, Kearns, MS, Solla, SA & Cohn, DA 1998 'Adding constrained discontinuities to Gaussian process models of wind fields' Aston University, Birmingham.
Evans, DJ, Cornford, D & Nabney, IT 1998 'Structured neural network modelling of multi-valued functions for wind retrieval from scatterometer measurements' Aston University, Birmingham.
Cornford, D, Ramage, G & Nabney, IT 1998 'A scatterometer neural network sensor model with input noise' Aston University, Birmingham.
Cornford, D , Nabney, IT & Williams, CKI 1998 'Bayesian inference for wind field retrieval' Aston University, Birmingham.
Azzouzi, M & Nabney, IT 1998,Analysing time series structure with hidden Markov models. in T Constantinides, SY Kung, M Niranjan & E Wilson (eds),Proceedings of the 1998 IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing VIII, 1998.vol. 8, Proceedings of the 1998 IEEE Signal Processing Society Workshop, IEEE, Cambridge, UK, pp. 402-408, Neural Networks for Signal Processing, 2-2 September. DOI:10.1109/NNSP.1998.710670
Azzouzi, M & Nabney, IT 1998 'Delay estimation for multivariate time series' Aston University, Aston University, Birmingham, UK.
Cornford, D & Nabney, IT 1998 'NEUROSAT: an overview' Aston University, Birmingham.
West, AHL, Saad, D , Nabney, IT, Mozer, MC (ed.), Petsche, T (ed.) & Jordan, MI (ed.) 1997, 'The learning dynamics of a universal approximator' Advances in Neural Information Processing Systems, vol. 9, pp. 288-294.
Nabney, IT, Paven, MJS, Eldridge, RC & Lee, C 1997,Practical assessment of neural network applications. in P Daniel (ed.),SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security.Springer, London, pp. 357-368, SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368, 1-1 January.
Nabney, IT & Cheng, HW 1997, 'Estimating conditional volatility with neural networks' Paper presented at Fourth Internation Conference: Forecasting Financial Markets,1/01/97 -1/01/97 , pp. 1-15.
Bishop, CM & Nabney, IT 1996, 'Modelling conditional probability distributions for periodic variables' Neural Computation, vol. 8, no. 5, pp. 209-214.
Nabney, IT, McLachlan, A & Lowe, D 1996,Practical methods of tracking of nonstationary time series applied to real-world data. in SK Rogers & DW Ruck (eds),Applications and science of artificial neural networks II.vol. 2760, SPIE proceedings, vol. 2760, SPIE, pp. 152-163, AeroSense ' 96 : Applications and Science of Artificial Neural Networks II, Orlando, United States, 8-12 April. DOI:10.1117/12.235906
Nabney, I & Cressy, DC 1996, 'Neural network control of a gas turbine' Neural Computing and Applications, vol. 4, no. 4, pp. 198-208. DOI:10.1007/BF01413818
Nabney, IT, Dunis, C, Dallaway, R, Leong, S & Redshaw, W 1995, 'Leading edge forecasting techniques for exchange rate prediction' European Journal of Finance, vol. 1, no. 4, pp. 311-323. DOI:10.1080/13518479500000022
Nabney, IT, Bishop, CM & Legleye, C 1995,Modelling conditional probability distributions for periodic variables. inFourth International Conference on Artificial Neural Networks.vol. 4, IEEE, pp. 177-182, 4th International Conference on Artificial Neural Networks, Cambridge, United Kingdom, 26-28 June.
Nabney, IT & Bishop, CM 1995 'Modelling wind direction from satellite scatterometer data' Aston University, Birmingham.
Nabney, IT & Bishop, CM 1995,Modelling conditional probability distributions for periodic variables. in F Fougelman-Soulie & P Gallinari (eds),Proceedings International Conference on Artificial Neural Networks ICANN' 95.vol. 2, EC2 et Cie, Paris (FR), pp. 209-214, International Conference on Artificial Neural Networks, Paris, 1 October.
Cressy, DC, Nabney, IT & Simper, A 1993, 'Neural control of a batch distillation' Neural Computing and Applications, vol. 1, no. 2, pp. 115-123.
Nabney, IT & Grasl, O 1991,Rule induction for data exploration. inProceedings of Avignon 91: Expert systems and their applications.vol. 1, EC2 et Cie, pp. 329-341.

Professor Ian Nabney

Executive Dean

Phone number: 0121 204 3645
Email: [email protected]
Room number: MB140

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Professor Ian Nabney

Executive Dean

Phone number: 0121 204 3645 Email: [email protected] Room number: MB140

Profile

Phone number: 0121 204 3645
Email: [email protected]
Room number: MB140