Ian T. Nabney
Ian T. Nabney
Professor and Head of SCEEM, University of Bristol
Verified email at - Homepage
Cited by
Cited by
NETLAB: algorithms for pattern recognition
I Nabney
Springer Science & Business Media, 2002
Wind power forecasts using Gaussian processes and numerical weather prediction
N Chen, Z Qian, IT Nabney, X Meng
IEEE Transactions on Power Systems 29 (2), 656-665, 2014
The state of the art in integrating machine learning into visual analytics
A Endert, W Ribarsky, C Turkay, BLW Wong, I Nabney, ID Blanco, F Rossi
Computer Graphics Forum 36 (8), 458-486, 2017
Efficient training of RBF networks for classification
IT Nabney
International Journal of Neural Systems 14 (03), 201-208, 2004
Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models
HT Nguyen, IT Nabney
Energy 35 (9), 3674-3685, 2010
Hierarchical GTM: Constructing localized nonlinear projection manifolds in a principled way
P Tino, I Nabney
IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (5), 639-656, 2002
Netlab neural network software
I Nabney, C Bishop
Matlab Toolbox 71, 7, 2003
Visualization of molecular fingerprints
JR Owen, IT Nabney, JL Medina-Franco, F López-Vallejo
Journal of chemical information and modeling 51 (7), 1552-1563, 2011
Data visualization during the early stages of drug discovery
DM Maniyar, IT Nabney, BS Williams, A Sewing
Journal of chemical information and modeling 46 (4), 1806-1818, 2006
Age‐associated changes in long‐chain fatty acid profile during healthy aging promote pro‐inflammatory monocyte polarization via PPAR γ
C Pararasa, J Ikwuobe, S Shigdar, A Boukouvalas, IT Nabney, JE Brown, ...
Aging cell 15 (1), 128-139, 2016
Neural network-based wind vector retrieval from satellite scatterometer data
D Cornford, IT Nabney, CM Bishop
Neural computing & applications 8, 206-217, 1999
Short-Term Wind Power Forecasting Using Gaussian Processes.
N Chen, Z Qian, IT Nabney, X Meng
IJCAI, 2790-2796, 2013
The classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome
JV Marcos, R Hornero, D Alvarez, IT Nabney, F Del Campo, C Zamarrón
Physiological measurement 31 (3), 375, 2010
Outlier detection in scatterometer data: neural network approaches
RJ Bullen, D Cornford, IT Nabney
Neural Networks 16 (3-4), 419-426, 2003
IT Nabney
www, June, 2002
Increased Diversity of Libraries from Libraries: Chemoinformatic Analysis of Bis‐Diazacyclic Libraries
F López‐Vallejo, A Nefzi, A Bender, JR Owen, IT Nabney, RA Houghten, ...
Chemical biology & drug design 77 (5), 328-342, 2011
Regularisation of mixture density networks
LU Hjorth, IT Nabney
1999 Ninth International Conference on Artificial Neural Networks ICANN 99 …, 1999
Modelling frontal discontinuities in wind fields
D Cornford, IT Nabney, CKI Williams
Journal of nonparametric statistics 14 (1-2), 43-58, 2002
PIP-DB: the protein isoelectric point database
E Bunkute, C Cummins, FJ Crofts, G Bunce, IT Nabney, DR Flower
Bioinformatics 31 (2), 295-296, 2015
An efficient industrial system for vehicle tyre (tire) detection and text recognition using deep learning
W Kazmi, I Nabney, G Vogiatzis, P Rose, A Codd
IEEE Transactions on Intelligent Transportation Systems 22 (2), 1264-1275, 2020
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