Ian T. Nabney

According to our database, Ian T. Nabney authored at least 53 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances.

Doaa Alamoudi, Ian T. Nabney, Esther Crawley

Sensors, February, 2024

2023

Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study.

Doaa Alamoudi, Ian T. Nabney, Esther Crawley

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

A Quantitative Comparison of Manual vs. Automated Facial Coding Using Real Life Observations of Fathers.

Romana Burgess, Iryna Culpin, Helen Bould, Rebecca Pearson, Ian T. Nabney

Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

2021

An Efficient Industrial System for Vehicle Tyre (Tire) Detection and Text Recognition Using Deep Learning.

Wajahat Kazmi, Ian T. Nabney, George Vogiatzis, Peter Rose, Alexander Codd

IEEE Trans. Intell. Transp. Syst., 2021

2019

Vehicle tire (tyre) detection and text recognition using deep learning.

Wajahat Kazmi, Ian T. Nabney, George Vogiatzis, Peter Rose, Alexander Codd

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2017

An architecture for the autonomic curation of crowdsourced knowledge.

Alina Patelli, Peter R. Lewis, Anikó Ekárt, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole

Clust. Comput., 2017

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

Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi

Comput. Graph. Forum, 2017

Detecting dynamical changes in vital signs using switching Kalman filter.

Vânia Almeida, Ian T. Nabney

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

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

Alina Patelli, Peter R. Lewis, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole

Proceedings of the 2016 International Conference on Cloud and Autonomic Computing, 2016

Early warnings of heart rate deterioration.

Vânia G. Almeida, Ian T. Nabney

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Mehryar Emambakhsh, Yulan He, Ian T. Nabney

Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

2015

PIP-DB: the Protein Isoelectric Point database.

Egle Bunkute, Christopher Cummins, Fraser J. Crofts, Gareth Bunce, Ian T. Nabney, Darren R. Flower

Bioinform., 2015

Visualisation of Heterogeneous Data with the Generalised Generative Topographic Mapping.

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

Proceedings of the IVAPP 2015, 2015

2014

Multi-level Visualisation using Gaussian Process Latent Variable Models.

Shahzad Mumtaz, Darren R. Flower, Ian T. Nabney

Proceedings of the 5th International Conference on Information Visualization Theory and Applications, 2014

2013

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

William Plant, Joanna Lumsden, Ian T. Nabney

Multim. Tools Appl., 2013

Inference of helicopter airframe condition.

Waljinder S. Gill, Ian T. Nabney, Daniel Wells

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Short-Term Wind Power Forecasting Using Gaussian Processes.

Niya Chen, Zheng Qian, Ian T. Nabney, Xiaofeng Meng

Proceedings of the IJCAI 2013, 2013

2012

Helicopter vibration sensor selection using data visualisation.

Waljinder S. Gill, Ian T. Nabney, Daniel Wells

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Novel visualization methods for protein data.

Shahzad Mumtaz, Ian T. Nabney, Darren R. Flower

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011

Visualization of Molecular Fingerprints.

John R. Owen, Ian T. Nabney, José L. Medina-Franco, Fabian López-Vallejo

J. Chem. Inf. Model., 2011

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

Ryszard Maciol, Yuan Yuan, Ian T. Nabney

Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

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

William Plant, Joanna Lumsden, Ian T. Nabney

Proceedings of the 1st European Workshop on Human-Computer Interaction and Information Retrieval, 2011

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

J. Víctor Marcos, Roberto Hornero, Ian T. Nabney, Daniel Álvarez, Félix del Campo

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Variational inference for Student-t MLP models.

Hang T. Nguyen, Ian T. Nabney

Neurocomputing, 2010

2009

Data Visualisation and Exploration with Prior Knowledge.

Martin Schroeder, Dan Cornford, Ian T. Nabney

Proceedings of the Engineering Applications of Neural Networks, 2009

Energy forward price prediction with a hybrid adaptive model.

Hang T. Nguyen, Ian T. Nabney

Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Financial Engineering, 2009

2008

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

Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel

Neural Comput. Appl., 2008

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

Hang T. Nguyen, Ian T. Nabney

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2006

Data Visualization during the Early Stages of Drug Discovery.

Dharmesh M. Maniyar, Ian T. Nabney, Bruce S. Williams, Andreas Sewing

J. Chem. Inf. Model., 2006

Visual data mining using principled projection algorithms and information visualization techniques.

Dharmesh M. Maniyar, Ian T. Nabney

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study.

Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Caroline Van Holsbeke, Sabine Van Huffel

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Data Visualization with Simultaneous Feature Selection.

Dharmesh M. Maniyar, Ian T. Nabney

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005

Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization.

Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán

IEEE Trans. Knowl. Data Eng., 2005

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

Davide D'Alimonte, David Lowe, Ian T. Nabney, Vassilis Mersinias, Colin P. Smith

Bioinform., 2005

2004

Nonlinear Prediction of Quantitative Structure-Activity Relationships.

Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun

J. Chem. Inf. Model., 2004

Efficient Training Of Rbf Networks For Classification.

Ian T. Nabney

Int. J. Neural Syst., 2004

Guiding Local Regression Using Visualisation.

Dharmesh M. Maniyar, Ian T. Nabney

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

Outlier detection in scatterometer data: neural network approaches.

Robert J. Bullen, Dan Cornford, Ian T. Nabney

Neural Networks, 2003

2002

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

Peter Tiño, Ian T. Nabney

IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001

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

Peter Tiño, Ian T. Nabney, Yi Sun

Proceedings of the Artificial Neural Networks, 2001

2000

Neural Network Modelling with Input Uncertainty: Theory and Application.

W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney

J. VLSI Signal Process., 2000

Bayesian inference for wind field retrieval.

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

Neurocomputing, 2000

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

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

Neurocomputing, 2000

A scatterometer neural network sensor model with input noise.

Dan Cornford, Guillaume Ramage, Ian T. Nabney

Neurocomputing, 2000

Bayesian Training of Mixture Density Networks.

Lars U. Hjorth, Ian T. Nabney

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data.

Dan Cornford, Ian T. Nabney, Christopher M. Bishop

Neural Comput. Appl., 1999

Modelling financial time series with switching state space models.

Mehdi Azzouzi, Ian T. Nabney

Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

1998

Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields.

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

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Practical Assessment of Neural Network Applications.

Ian T. Nabney, Mickael J. S. Paven, Richard C. Eldridge, Clive Lee

Proceedings of the 16th International Conference on Computer Safety, 1997

1996

Modeling Conditional Probability Distributions for Periodic Variables.

Christopher M. Bishop, Ian T. Nabney

Neural Comput., 1996

Neural Network Control of a Gas Turbine.

Ian T. Nabney, David C. Cressy

Neural Comput. Appl., 1996

The Learning Dynamcis of a Universal Approximator.

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

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1993

Neural Control of a Batch Distillation.

David C. Cressy, Ian T. Nabney, Adrian M. Simper

Neural Comput. Appl., 1993