Neural Control of a Batch Distillation. - David C. Cressy; Ian T. Nabney; Adrian M. Simper (Neural Comput. Appl., 1993)

The Learning Dynamcis of a Universal Approximator. - Ansgar Heinrich Ludolf West; David Saad; Ian T. Nabney (NIPS, 1996)

Neural Network Control of a Gas Turbine. - Ian T. Nabney; David C. Cressy (Neural Comput. Appl., 1996)

Modeling Conditional Probability Distributions for Periodic Variables. - Christopher M. Bishop; Ian T. Nabney (Neural Comput., 1996)

Practical Assessment of Neural Network Applications. - Ian T. Nabney; Mickael J. S. Paven; Richard C. Eldridge; Clive Lee (SAFECOMP, 1997)

Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. - Dan Cornford; Ian T. Nabney; Christopher K. I. Williams (NIPS, 1998)

Modelling financial time series with switching state space models. - Mehdi Azzouzi; Ian T. Nabney (CIFEr, 1999)

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. - Dan Cornford; Ian T. Nabney; Christopher M. Bishop (Neural Comput. Appl., 1999)

Bayesian Training of Mixture Density Networks. - Lars U. Hjorth; Ian T. Nabney (IJCNN (4), 2000)

A scatterometer neural network sensor model with input noise. - Dan Cornford; Guillaume Ramage; Ian T. Nabney (Neurocomputing, 2000)

Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. - David J. Evans 002; Dan Cornford; Ian T. Nabney (Neurocomputing, 2000)

Bayesian inference for wind field retrieval. - Ian T. Nabney; Dan Cornford; Christopher K. I. Williams (Neurocomputing, 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)

Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. - Peter Tiño; Ian T. Nabney; Yi Sun 001 (ICANN, 2001)

Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. - Peter Tiño; Ian T. Nabney (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Outlier detection in scatterometer data: neural network approaches. - Robert J. Bullen; Dan Cornford; Ian T. Nabney (Neural Networks, 2003)

Guiding Local Regression Using Visualisation. - Dharmesh M. Maniyar; Ian T. Nabney (Deterministic and Statistical Methods in Machine Learning, 2004)

Efficient Training Of Rbf Networks For Classification. - Ian T. Nabney (Int. J. Neural Syst., 2004)

Nonlinear Prediction of Quantitative Structure-Activity Relationships. - Peter Tiño; Ian T. Nabney; Bruce S. Williams; Jens Lösel; Yi Sun 001 (J. Chem. Inf. Model., 2004)

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)

Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. - Ian T. Nabney; Yi Sun 001; Peter Tiño; Ata Kabán (IEEE Trans. Knowl. Data Eng., 2005)

Data Visualization with Simultaneous Feature Selection. - Dharmesh M. Maniyar; Ian T. Nabney (CIBCB, 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 (EMBC, 2006)

Visual data mining using principled projection algorithms and information visualization techniques. - Dharmesh M. Maniyar; Ian T. Nabney (KDD, 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)

Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices. - Hang T. Nguyen; Ian T. Nabney (ICMLA, 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)

Energy forward price prediction with a hybrid adaptive model. - Hang T. Nguyen; Ian T. Nabney (CIFEr, 2009)

Data Visualisation and Exploration with Prior Knowledge. - Martin Schroeder 001; Dan Cornford; Ian T. Nabney (EANN, 2009)

Variational inference for Student-t MLP models. - Hang T. Nguyen; Ian T. Nabney (Neurocomputing, 2010)

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 (EMBC, 2011)

The Mosaic Test: Benchmarking Colour-based Image Retrieval Systems Using Image Mosaics. - William Plant; Joanna Lumsden; Ian T. Nabney (EuroHCIR, 2011)

Colour Image Coding with Matching Pursuit in the Spatio-frequency Domain. - Ryszard Maciol; Yuan Yuan 001; Ian T. Nabney (ICIAP (1), 2011)

Visualization of Molecular Fingerprints. - John R. Owen; Ian T. Nabney; José L. Medina-Franco; Fabian López-Vallejo (J. Chem. Inf. Model., 2011)

Novel visualization methods for protein data. - Shahzad Mumtaz; Ian T. Nabney; Darren R. Flower (CIBCB, 2012)

Helicopter vibration sensor selection using data visualisation. - Waljinder S. Gill; Ian T. Nabney; Daniel Wells (MLSP, 2012)

Short-Term Wind Power Forecasting Using Gaussian Processes. - Niya Chen; Zheng Qian; Ian T. Nabney; Xiaofeng Meng 002 (IJCAI, 2013)

Inference of helicopter airframe condition. - Waljinder S. Gill; Ian T. Nabney; Daniel Wells (MLSP, 2013)

The Mosaic Test: measuring the effectiveness of colour-based image retrieval. - William Plant; Joanna Lumsden; Ian T. Nabney (Multim. Tools Appl., 2013)

Multi-level Visualisation using Gaussian Process Latent Variable Models. - Shahzad Mumtaz; Darren R. Flower; Ian T. Nabney (IVAPP, 2014)

Visualisation of Heterogeneous Data with the Generalised Generative Topographic Mapping. - Michel F. Randrianandrasana; Shahzad Mumtaz; Ian T. Nabney (IVAPP, 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)

Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach. - Mehryar Emambakhsh; Yulan He 001; Ian T. Nabney (DAS, 2016)

Early warnings of heart rate deterioration. - Vânia G. Almeida; Ian T. Nabney (EMBC, 2016)

Autonomic Curation of Crowdsourced Knowledge: The Case of Career Data Management. - Alina Patelli; Peter R. Lewis 001; Hai H. Wang; Ian T. Nabney; David Bennett; Ralph Lucas; Alex Cole (ICCAC, 2016)

Detecting dynamical changes in vital signs using switching Kalman filter. - Vânia Almeida; Ian T. Nabney (EMBC, 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)

An architecture for the autonomic curation of crowdsourced knowledge. - Alina Patelli; Peter R. Lewis 001; Anikó Ekárt; Hai H. Wang; Ian T. Nabney; David Bennett; Ralph Lucas; Alex Cole (Clust. Comput., 2017)

Vehicle tire (tyre) detection and text recognition using deep learning. - Wajahat Kazmi; Ian T. Nabney; George Vogiatzis; Peter Rose; Alexander Codd (CASE, 2019)

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)

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 (PervasiveHealth, 2022)

Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study. - Doaa Alamoudi; Ian T. Nabney; Esther Crawley (BIODEVICES, 2023)

Efficient Hyperparameter Importance Assessment for CNNs. - Ruinan Wang; Ian T. Nabney; Mohammad Golbabaee (CoRR, 2024)

Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances. - Doaa Alamoudi; Ian T. Nabney; Esther Crawley (Sensors, 2024)

Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. - Ruinan Wang; Ian T. Nabney; Mohammad Golbabaee (CPAL, 2025)

Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation. - Yanda Wang; Weitong Chen 001; Lin Yue; Ian T. Nabney; Dechang Pi (Knowl. Based Syst., 2025)