Search Results - "Nabney, I."

The State of the Art in Integrating Machine Learning into Visual Analytics by Endert, A., Ribarsky, W., Turkay, C., Wong, B.L. William, Nabney, I., Blanco, I. Díaz, Rossi, F.

“…Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical…”
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Quantifying the efficacy of an automated facial coding software using videos of parents by Burgess, R., Culpin, I., Costantini, I., Bould, H., Nabney, I., Pearson, R. M.

“…Introduction This work explores the use of an automated facial coding software - FaceReader - as an alternative and/or complementary method to manual coding…”
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Hierarchical GTM: constructing localized nonlinear projection manifolds in a principled way by Tino, P., Nabney, I.

“…It has been argued that a single two-dimensional visualization plot may not be sufficient to capture all of the interesting aspects of complex data sets and,…”
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The classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome by Marcos, J V, Hornero, R, Alvarez, D, Nabney, I T, Del Campo, F, Zamarrón, C

“…In the present study, multilayer perceptron (MLP) neural networks were applied to help in the diagnosis of obstructive sleep apnoea syndrome (OSAS). Oxygen…”
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The Bayesian approach: a natural framework for statistical modeling by Van Calster, B., Nabney, I., Timmerman, D., Van Huffel, S.

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Neural network-based wind vector retrieval from satellite scatterometer data by CORNFORD, D, NABNEY, I. T, BISHOP, C. M

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Outlier detection in scatterometer data: neural network approaches by Bullen, Robert J., Cornford, Dan, Nabney, Ian T.

“…Satellite-borne scatterometers are used to measure backscattered micro-wave radiation from the ocean surface. This data may be used to infer surface wind…”
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Improved neural network scatterometer forward models by Cornford, Dan, Nabney, Ian T., Ramage, Guillaume

“…Current methods for retrieving near‐surface winds from scatterometer observations over the ocean surface require a forward sensor model which maps the wind…”
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Semisupervised learning of hierarchical latent trait models for data visualization by Nabney, I.T., Sun, Y., Tino, P., Kaban, A.

“…Recently, we have developed the hierarchical generative topographic mapping (HGTM), an interactive method for visualization of large high-dimensional…”
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Neural network control of a gas turbine by NABNEY, I. T, CRESSY, D. C

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Helicopter vibration sensor selection using data visualisation by Gill, W. S., Nabney, I. T., Wells, D.

“…The main objective of the project † is to enhance the already effective health-monitoring system (HUMS) for helicopters by analysing structural vibrations to…”
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Benchmarking beat classification algorithms by Nabney, I.T., Evans, D.J., Tenner, J., Gamlyn, L.

“…This study compares the accuracy of a range of advanced and classical pattern recognition algorithms for beat and arrhythmia classification from ECG using a…”
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The State of the Art in Integrating Machine Learning into Visual Analytics by Endert, A, Ribarsky, W, Turkay, C, Wong, W, Nabney, I, Blanco, I Díaz, Rossi, Fabrice

“…Computer Graphics Forum, Wiley, 2017, 36 (8), pp.458 - 486 Visual analytics systems combine machine learning or other analytic techniques with interactive data…”
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Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis by Marcos, J. V., Hornero, R., Nabney, I. T., Alvarez, D., Del Campo, F.

“…In this study, a new entropy measure known as kernel entropy (KerEnt), which quantifies the irregularity in a series, was applied to nocturnal oxygen…”
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Novel visualization methods for protein data by Mumtaz, S., Nabney, I. T., Flower, D.

“…Visualization of high-dimensional data has always been a challenging task. Here we discuss and propose variants of non-linear data projection methods…”
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Nonlinear Prediction of Quantitative Structure−Activity Relationships by Tiño, Peter, Nabney, Ian T, Williams, Bruce S, Lösel, Jens, Sun, Yi

“…Predicting the log of the partition coefficient P is a long-standing benchmark problem in Quantitative Structure−Activity Relationships (QSAR). In this paper…”
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MILVA: An interactive tool for the exploration of multidimensional microarray data by D'Alimonte, Davide, Lowe, David, Nabney, Ian T., Mersinias, Vassilis, Smith, Colin P.

“…Motivation: Clustering techniques such as k-means and hierarchical clustering are commonly used to analyze DNA microarray derived gene expression data…”
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Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study by Van Calster, B., Timmerman, D., Nabney, I.T., Valentin, L., Van Holsbeke, C., Van Huffel, S.

“…Ovarian masses are common and a good pre-surgical assessment of their nature is important for adequate treatment. Bayesian Multi-Layer Perceptrons (MLPs) using…”
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Neural control of a batch distillation by CRESSY, D. C, NABNEY, I. T, SIMPER, A. M

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Bayesian inference for wind field retrieval by Nabney, Ian T., Cornford, Dan, Williams, Christopher K.I.

“…In many problems in spatial statistics it is necessary to infer a global problem solution by combining local models. A principled approach to this problem is…”
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