Ian T. Nabney

Ian T. Nabney, Mehdi Azzouzi, I. Nabney, 1999, Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering (CIFEr) (IEEE Cat. No.99TH8408).

The DeCCo project papers II Z Specification of Asp

Susan Stepney, Ian T. Nabney, 2003 .

Early warnings of heart rate deterioration

Ian T. Nabney, Vânia Almeida, I. Nabney, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An architecture for the autonomic curation of crowdsourced knowledge

Alex Cole, Hai H. Wang, Peter R. Lewis, 2017, Cluster Computing.

Z Specification of Compiler Tem- plates

Susan Stepney, Ian T. Nabney, 2003 .

Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices

Ian T. Nabney, Hang T. Nguyen, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Neural control of a batch distillation

Ian T. Nabney, David C. Cressy, Adrian M. Simper, 2005, Neural Computing & Applications.

Z Specification of Pasp

Susan Stepney, Ian T. Nabney, 2003 .

The Learning Dynamcis of a Universal Approximator

Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney, 1996, NIPS.

The Mosaic Test: measuring the effectiveness of colour-based image retrieval

William Plant, Ian T. Nabney, Joanna Lumsden, 2013, Multimedia Tools and Applications.

MILVA :aninteractiveto olfortheexplorat ionof multidimensional microarraydata.

Ian T. Nabney, Colin P. Smith, Vassilis Mersinias, 2005 .

Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models

Ian T. Nabney, Hang T. Nguyen, Hang T. Nguyen, 2010 .

Nonlinear Prediction of Quantitative Structure-Activity Relationships

Peter Tiño, Yi Sun, Ian T. Nabney, 2004, J. Chem. Inf. Model..

Multi-level visualisation using Gaussian process latent variable models

Darren R. Flower, Shahzad Mumtaz, Ian T. Nabney, 2015, 2014 International Conference on Information Visualization Theory and Applications (IVAPP).

Neural Network Modelling with Input Uncertainty: Theory and Application

Dan Cornford, Ian T. Nabney, Guillaume Ramage, 2000, J. VLSI Signal Process..

Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach

Yulan He, Ian T. Nabney, Mehryar Emambakhsh, 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

Rule induction for data exploration

Ian T. Nabney, O. Grasl, 1991 .

Guiding Local Regression Using Visualisation

Ian T. Nabney, Dharmesh M. Maniyar, 2004, Deterministic and Statistical Methods in Machine Learning.

Energy forward price prediction with a hybrid adaptive model

Ian T. Nabney, Hang T. Nguyen, 2009, 2009 IEEE Symposium on Computational Intelligence for Financial Engineering.

Visualisation of heterogeneous data with simultaneous feature saliency using Generalised Generative Topographic Mapping

Shahzad Mumtaz, Ian T. Nabney, Michel F. Randrianandrasana, 2015 .

Rule induction in finance and marketing

Ian T. Nabney, Peter Jenkins, 1993 .

Block GTM: Incorporating Prior Knowledge of Covariance Structure in Data Visualisation

Dan Cornford, Ian T. Nabney, Martin Schroeder, 2008 .

Short-Term Wind Power Forecasting Using Gaussian Processes

Xiaofeng Meng, Zheng Qian, Ian T. Nabney, 2013, IJCAI.

Analysing time series structure with hidden Markov models

Ian T. Nabney, Mehdi Azzouzi, I. Nabney, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Efficient Training Of Rbf Networks For Classification

Ian T. Nabney, I. Nabney, 2004, Int. J. Neural Syst..

Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields

Dan Cornford, Christopher K. I. Williams, Ian T. Nabney, 1998, NIPS.

Data Visualization during the Early Stages of Drug Discovery

Ian T. Nabney, Bruce S. Williams, Andreas Sewing, 2006, J. Chem. Inf. Model..

Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery

Sabine Van Huffel, Dirk Timmerman, Ian T. Nabney, 2008, Neural Computing and Applications.

Inference of helicopter airframe condition

Ian T. Nabney, Waljinder S. Gill, Daniel Wells, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Variational inference for Student-t MLP models

Ian T. Nabney, Hang T. Nguyen, I. Nabney, 2010, Neurocomputing.

Analysing Time Series Structure with Hidden

Ian T. Nabney, Mehdi Azzouzi, 1998 .

PIP-DB: the Protein Isoelectric Point database

Darren R. Flower, Ian T. Nabney, Egle Bunkute, 2015, Bioinform..

Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements

Dan Cornford, Ian T. Nabney, David J. Evans, 2000, Neurocomputing.

The State of the Art in Integrating Machine Learning into Visual Analytics

Alex Endert, Fabrice Rossi, B. L. William Wong, 2017, Comput. Graph. Forum.

Detecting dynamical changes in vital signs using switching Kalman filter

Ian T. Nabney, Vânia Almeida, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data

Dan Cornford, Christopher M. Bishop, Ian T. Nabney, 1999, Neural Computing & Applications.

DVMS 1.5: A user manual (the data visualization and modeling system)

Ian T. Nabney, Dharmesh M. Maniyar, 2005 .

Modelling Conditional Probability Densities for Periodic Variables

Christopher M. Bishop, Ian T. Nabney, 1997 .

Data Visualization with Simultaneous Feature Selection

Ian T. Nabney, Dharmesh M. Maniyar, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Visual data mining: integrating machine learning with information visualization

Ian T. Nabney, Dharmesh M. Maniyar, I. Nabney, 2006 .

Semisupervised learning of hierarchical latent trait models for data visualization

Peter Tiño, Yi Sun, Ata Kabán, 2005, IEEE Transactions on Knowledge and Data Engineering.

Delay estimation for multivariate time series

Ian T. Nabney, Mehdi Azzouzi, 1998 .

Visual data mining using principled projection algorithms and information visualization techniques

Ian T. Nabney, Dharmesh M. Maniyar, 2006, KDD '06.

The Mosaic Test: Benchmarking Colour-based Image Retrieval Systems Using Image Mosaics

William Plant, Ian T. Nabney, Joanna Lumsden, 2011, EuroHCIR.

Novel visualization methods for protein data

Darren R. Flower, Shahzad Mumtaz, Ian T. Nabney, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Colour Image Coding with Matching Pursuit in the Spatio-frequency Domain

Yuan Yuan, Ian T. Nabney, Ryszard Maciol, 2011, ICIAP.

MILVA: An interactive tool for the exploration of multidimensional microarray data

David Lowe, Ian T. Nabney, Davide D'Alimonte, 2005, Bioinform..

EM algorithm for GTM-FS

Ian T. Nabney, Dharmesh M. Maniyar, 2005 .

Time delay estimation with hidden Markov models

Ian T. Nabney, Mehdi Azzouzi, 1999 .

A new entropy measure based on the Renyi entropy rate using Gaussian kernels

Ian T. Nabney, D. Woodcock, 2006 .

Increased Diversity of Libraries from Libraries: Chemoinformatic Analysis of Bis‐Diazacyclic Libraries

José L. Medina-Franco, Andreas Bender, Ian T. Nabney, 2011, Chemical biology & drug design.