I. Nabney

发表

Efficient training of RBF networks for classification

I. Nabney, 1999 .

Modelling Frontal Discontinuities in Wind Fields

Christopher K. I. Williams, I. Nabney, D. Cornford, 2002 .

Netlab: Algorithms for Pattern Recognition

Ian T. Nabney, I. Nabney, 2002 .

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).

GTM-based data visualisation with incomplete data

Yi Sun, Ian T. Nabney, Peter Tino, 2001 .

Outlier detection in scatterometer data: neural network approaches

Dan Cornford, Ian T. Nabney, Robert J. Bullen, 2003, Neural Networks.

Improved neural network scatterometer forward models

I. Nabney, D. Cornford, G. Ramage, 2001 .

Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds

Peter Tiño, Yi Sun, Ian T. Nabney, 2001, ICANN.

Constructing localized non-linear projection manifolds in a principled way:hierarchical generative topographic mapping

I. Nabney, P. Tiňo, 2000 .

Visualisation of Heterogeneous Data with the Generalised Generative Topographic Mapping

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

Non-linear Prediction of Quantitative Structure – Activity Relationships

I. Nabney, P. Tiňo, Yi Sun, 2004 .

Nonlinear Prediction of Quantitative Structure-Activity Relationships

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

Bayesian inference for wind field retrieval

Dan Cornford, Christopher K. I. Williams, Ian T. Nabney, 2000, Neurocomputing.

Bayesian retrieval of scatterometer wind fields

I. Nabney, D. Cornford, David J. Evans, 1999 .

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data

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

The classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome

J. Victor Marcos, I. Nabney, R. Hornero, 2010, Physiological measurement.

Regularity analysis of nocturnal oximetry recordings to assist in the diagnosis of sleep apnoea syndrome.

J. Victor Marcos, G. C. Gutiérrez-Tobal, I. Nabney, 2016, Medical engineering & physics.

VISUALISING UNCERTAIN DATA

I. Nabney, D. D’Alimonte, D. Lowe, 2005 .

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.

Dynamic local models for segmentation and prediction of financial time series

Ian T. Nabney, Mehdi Azzouzi, I. Nabney, 2001 .

Regularisation of Mixture DensityNetworksLars

I. Nabney, Lars U. Hjorth, John Lundkvist, 2008 .

Semisupervised learning of hierarchical latent trait models for data visualization

I. Nabney, A. Kabán, P. Tiňo, 2005, IEEE Transactions on Knowledge and Data Engineering.

Discrimination Using a Template Matching Approach

I. Nabney, Yulan He, Mehryar Emambakhsh, 2016 .

Estimating conditional volatility with neural networks

I. Nabney, H. W. Cheng, 1997 .

Modelling Frontal Discontinuities inWind FieldsDan

Christopher K. I. Williams, Cornford, I. Nabney, 2008 .

Grayscale and colour image Codec based on matching pursuit in the spatio-frequency domain

I. Nabney, Yuan Yuan, Ryszard Maciol, 2011 .

Age‐associated changes in long‐chain fatty acid profile during healthy aging promote pro‐inflammatory monocyte polarization via PPARγ

I. Nabney, A. Boukouvalas, H. Griffiths, 2015, Aging cell.

Age-associated changes in long-chain fatty acid profile during healthy aging promote pro-inflammatory monocyte polarization via PPAR. Aging

I. Nabney, A. Boukouvalas, H. Griffiths, 2015 .

(2016). Age-associated changes in long-chain fatty acid profile during healthy aging promote pro-inflammatory monocyte polarization via PPAR. Aging Cell (1), 128-139.

I. Nabney, A. Boukouvalas, H. Griffiths, 2015 .

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

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

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

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

Neural Network Modelling with Input Uncertainty: Theory and Application

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

A scatterometer neural network sensor model with input noise

Dan Cornford, Ian T. Nabney, Guillaume Ramage, 2000, Neurocomputing.

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.

Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields

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

Modeling Conditional Probability Distributions for Periodic Variables

Christopher M. Bishop, Ian T. Nabney, I. Nabney, 1996, Neural Computation.

Advances in Pattern Recognition

Bir Bhanu, Ioannis Pavlidis, Ian T. Nabney, 2010, Lecture Notes in Computer Science.

Autonomic Curation of Crowdsourced Knowledge: The Case of Career Data Management

Alex Cole, Hai H. Wang, Peter R. Lewis, 2016, 2016 International Conference on Cloud and Autonomic Computing (ICCAC).

An architecture for the autonomic curation of crowdsourced knowledge

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

Regularisation of mixture density networks

Ian T. Nabney, I. Nabney, Lars U. Hjorth, 1999 .

Modelling conditional probability distributions for periodic variables

Christopher M. Bishop, Ian T. Nabney, C. Legleye, 1995 .

Scrutinizing human MHC polymorphism: Supertype analysis using Poisson-Boltzmann electrostatics and clustering.

I. Nabney, Shahzad Mumtaz, D. Flower, 2017, Journal of molecular graphics & modelling.

Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis

Roberto Hornero, J. Víctor Marcos, Ian T. Nabney, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Short-Term Wind Power Forecasting Using Gaussian Processes

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

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

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

Exacerbation predictive modelling using real-world data from the myCOPD app

I. Nabney, T. Wilkinson, J. Dodd, 2022, 01.04 - M-Health/e-health.

Data Visualization during the Early Stages of Drug Discovery

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

Visualization of Molecular Fingerprints

José L. Medina-Franco, Ian T. Nabney, John R. Owen, 2011, J. Chem. Inf. Model..

A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions

I. Nabney, M. Bornstein, R. Pearson, 2023, Journal of Nonverbal Behavior.

An architecture for the autonomic curation of crowdsourced knowledge

Peter R. Lewis, I. Nabney, A. Ekárt, 2017, Cluster Computing.

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

Xiaofeng Meng, Zheng Qian, Ian T. Nabney, 2014, IEEE Transactions on Power Systems.

The Feasibility of Using Smartphone Sensors to Track Insomnia, Depression, and Anxiety in Adults and Young Adults: Narrative Review

I. Nabney, E. Crawley, Doaa Alamoudi, 2022, JMIR mHealth and uHealth.

Data Visualisation and Exploration with Prior Knowledge

Dan Cornford, Ian T. Nabney, Martin Schroeder, 2009, EANN.

Visual data mining: integrating machine learning with information visualization

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

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).

Early warnings of heart rate deterioration. In 2016 38th Annual Conference of the Engineering

I. Nabney, 2016 .

The Bayesian approach: a natural framework for statistical modeling

S. Van Huffel, D. Timmerman, B. Van Calster, 2007, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Helicopter vibration sensor selection using data visualisation

Ian T. Nabney, Waljinder S. Gill, Daniel Wells, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

PIP-DB: the Protein Isoelectric Point database

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

Bagging model with cost sensitive analysis on diabetes data

Ian T. Nabney, Punnee Sittidech, Nongyao Nai-arun, 2015 .

Variational inference for Student-t MLP models

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

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

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

Estimating conditional volatility with neural networks

I. Nabney, H. W. Cheng, 1997 .

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.

Efficient Training Of Rbf Networks For Classification

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

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).

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

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

Delay Estimation for MultivariateTime SeriesMehdi Azzouzi

I. Nabney, T. Ian, Nabneyazzouzim, 2007 .

Modelling financial time series with switching state space models

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).

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).

Bayesian training of mixture density networks

Ian T. Nabney, Lars U. Hjorth, I. Nabney, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way

Peter Tiño, Ian T. Nabney, I. Nabney, 2002, IEEE Trans. Pattern Anal. Mach. Intell..