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    Chapter and Conference Paper

    Machine Learning and Sustainability Metrics: Optimising Risk Assessment and Default Prediction

    The financial industry is increasingly acknowledging the importance of sustainability, integrating environmental, social, and governance (ESG) factors into risk assessment models. In this study, we have explor...

    Md Abu Sufian, Jeremy Levesley in Proceedings of the Future Technologies Con… (2023)

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    Chapter and Conference Paper

    GaussianProductAttributes: Density-Based Distributed Representations for Products

    Multivariate Gaussian probability distributions have been used as distributed representations for text. In comparison with traditional vector representations, these density-based representations are able to m...

    Hossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi in Artificial Intelligence XXXVIII (2021)

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    Article

    What can the randomness of missing values tell you about clinical practice in large data sets of children’s vital signs?

    Damian Roland, Neslihan Suzen, Timothy J. Coats, Jeremy Levesley in Pediatric Research (2021)

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    Chapter

    Discussion

    These results are important as they examine the question of the relationship between drug use and personality comprehensively and engage in the challenge of untangling correlated personality traits (the FFM, i...

    Elaine Fehrman, Vincent Egan in Personality Traits and Drug Consumption (2019)

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    Chapter and Conference Paper

    Convergence of Multilevel Stationary Gaussian Convolution

    In this paper we give a short note showing convergence rates for periodic approximation of smooth functions by multilevel Gaussian convolution. We will use the Gaussian scaling in the convolution at the finest...

    Simon Hubbert, Jeremy Levesley in Numerical Mathematics and Advanced Applica… (2019)

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    Chapter

    Introduction

    Each set of data can tell us a story. Our mission is to extract this story from the data and translate it into more readily accessible human language. There are a number of tools for such a translation. To pre...

    Elaine Fehrman, Vincent Egan in Personality Traits and Drug Consumption (2019)

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    Chapter

    Summary

    What have all of these data tables told us? We have asked whether or not a psychological predisposition to drug consumption exists. Now, we can formulate the answer in brief.

    Elaine Fehrman, Vincent Egan in Personality Traits and Drug Consumption (2019)

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    Chapter

    Drug Use and Personality Profiles

    Drug use disorder is characterised by several terms: addiction, dependence, and abuse. We discuss the notion of psychoactive substance and relations between the existing definitions. The personality traits whi...

    Elaine Fehrman, Vincent Egan in Personality Traits and Drug Consumption (2019)

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    Chapter

    Results of Data Analysis

    This chapter includes results of data analysis. The relationship between personality profiles and drug consumption is described and the individual drug consumption risks for different drugs is evaluated. Signi...

    Elaine Fehrman, Vincent Egan in Personality Traits and Drug Consumption (2019)

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    Chapter

    Methods of Data Analysis

    In this chapter, we give a brief outline of the methods of data analysis used, from elementary T-scores to nonlinear principal component analysis (PCA), including data normalisation, quantification of categori...

    Elaine Fehrman, Vincent Egan in Personality Traits and Drug Consumption (2019)

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    Article

    Multilevel quasi-interpolation on a sparse grid with the Gaussian

    Motivated by the recent multilevel sparse kernel-based interpolation (MuSIK) algorithm proposed in Georgoulis et al. (SIAM J. Sci. Comput. 35, 815–832, 2013), we introduce the new quasi-multilevel sparse interpol...

    Fuat Usta, Jeremy Levesley in Numerical Algorithms (2018)

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    Chapter and Conference Paper

    Fast Numerical Evaluation of Periodic Solutions for a Class of Nonlinear Systems and Its Applications for Parameter Estimation Problems

    Fast numerical evaluation of forward models is central for a broad range of inverse problems. Here we propose a method for deriving computationally efficient representations of periodic solutions of parameteri...

    Ivan Y. Tyukin, Jehan Mohammed Al-Ameri in Optimization Problems and Their Applicatio… (2018)

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    Article

    Pseudo-outcrop Visualization of Borehole Images and Core Scans

    A pseudo-outcrop visualization is demonstrated for borehole and full-diameter rock core images to augment the ubiquitous unwrapped cylinder view and thereby assist nonspecialist interpreters. The pseudo-outcro...

    Evgeny M. Mirkes, Alexander N. Gorban, Jeremy Levesley in Mathematical Geosciences (2017)

  14. Article

    Open Access

    Adaptive radial basis function interpolation using an error indicator

    In some approximation problems, sampling from the target function can be both expensive and time-consuming. It would be convenient to have a method for indicating where approximation quality is poor, so that g...

    Qi Zhang, Yangzhang Zhao, Jeremy Levesley in Numerical Algorithms (2017)

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    Book and Conference Proceedings

    Numerical Mathematics and Advanced Applications 2011

    Proceedings of ENUMATH 2011, the 9th European Conference on Numerical Mathematics and Advanced Applications, Leicester, September 2011

    Andrea Cangiani, Ruslan L. Davidchack (2013)

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    Book and Conference Proceedings

    Approximation Algorithms for Complex Systems

    Proceedings of the 6th International Conference on Algorithms for Approximation, Ambleside, UK, 31st August - 4th September 2009

    Emmanuil H Georgoulis, Armin Iske in Springer Proceedings in Mathematics (2011)

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    Chapter and Conference Paper

    Stabilizing Lattice Boltzmann Simulation of Fluid Flow past a Circular Cylinder with Ehrenfests’ Limiter

    In this study, two-dimensional fluid flow around a circular cylinder for different laminar and turbulent regimes has been analyzed. We will show that introduction of Ehrenfests’ coarse-graining idea in lattice...

    Tahir S. Khan, Jeremy Levesley in Approximation Algorithms for Complex Systems (2011)

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    Chapter and Conference Paper

    Fast and Stable Interpolation of Well Data Using the Norm Function

    We present an iterative algorithm for computing an approximation to data in wells using the norm function in three dimensions augmented with a tensor product of two dimensional Lagrange functions with one dime...

    Brian Li, Jeremy Levesley in Approximation Algorithms for Complex Systems (2011)

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    Chapter and Conference Paper

    Approximating Probability Measures on Manifolds via Radial Basis Functions

    Approximating a given probability measure by a sequence of normal- ized counting measures is an interesting problem and has broad applications in many areas of mathematics and engineering. If the target measur...

    Jeremy Levesley, ** Sun in Approximation Algorithms for Complex Systems (2011)

  20. No Access

    Chapter and Conference Paper

    Time Step Expansions and the Invariant Manifold Approach to Lattice Boltzmann Models

    The classical method for deriving the macroscopic dynamics of alattice Boltzmann system is to use a combination of different approximations and expansions. Usually aChapman–Enskog analysis is performed, either...

    David J. Packwood, Jeremy Levesley in Co** with Complexity: Model Reduction an… (2011)

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