Browsing Cyfrifiadureg / Computer Science by Title

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  • Zwiggelaar, R. (2008)
    Mammographic risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. Two independent sets of mammographic ...
  • He, Wenda; Denton, E. R. E.; Zwiggelaar, R. (2009)
    Strong evidence shows that characteristic patterns of breast tissues as seen on mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation ...
  • He, Wenda; Denton, E. R. E.; Zwiggelaar, R. (2009)
    Strong evidence shows that characteristic patterns of breast tissues as seen on mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation ...
  • He, W.; Zwiggelaar, R.; Denton, E. R. E.; Muhimmah, I. (2008)
    We present an approach to automate texton selection to achieve optimized mammogram segmentation results with respect to mammographic building blocks (i.e. nodular, linear, homogeneous, and radiolucent) as described by ...
  • He, W.; Zwiggelaar, R.; Denton, E. R. E.; Muhimmah, I. (2008)
    We present an approach to automate texton selection to achieve optimized mammogram segmentation results with respect to mammographic building blocks (i.e. nodular, linear, homogeneous, and radiolucent) as described by ...
  • Bignardi, T.; Burnet, S.; Alhamdan, D.; Lu, Chuan; Pardey, J.; Benzie, R.; Condous, George (2011-06-06)
    OBJECTIVE: To assess the impact of the introduction of an ultrasound-based model of care for women with acute gynecological complications. METHODS: This was a prospective comparative study of women attending an ultrasound-based ...
  • Bignardi, T.; Burnet, S.; Alhamdan, D.; Lu, Chuan; Pardey, J.; Benzie, R.; Condous, George (2011-06-06)
    OBJECTIVE: To assess the impact of the introduction of an ultrasound-based model of care for women with acute gynecological complications. METHODS: This was a prospective comparative study of women attending an ultrasound-based ...
  • Lee, Mark (2000-06)
    Over the past three decades, tactile sensing has developed into a sophisticated technology. There has been a longstanding and widely held expectation that tactile sensors would have a major impact on industrial robotics ...
  • Lee, Mark (2000-06)
    Over the past three decades, tactile sensing has developed into a sophisticated technology. There has been a longstanding and widely held expectation that tactile sensors would have a major impact on industrial robotics ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard (IEEE Press, 2009-11-30)
    For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors to reflect decision class labels. It is ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard (2010)
    For supervised learning, feature selection algorithms attemptto maximise a given function of predictive accuracy.This function usually considers the ability of feature vectorsto reflect decision class labels. It is therefore ...
  • Spasić, Irena; Dunn, Warwick B.; Velarde, Giles; Tseng, Andy; Jenkins, Helen; Hardy, Nigel; Oliver, Stephen G.; Kell, Douglas B. (2006-06-05)
    Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour ...
  • Neal, Mark (2003-09)
    Abstract. This paper describes an artificial immune system algorithm which implements a fairly close analogue of the memory mechanism proposed by Jerne(1) (usually known as the Immune Network Theory). The algorithm demonstrates ...
  • Fiehn, Oliver; Robertson, Donald; Griffin, Julian L.; van der Werf, Mariet; Nikolau, Basil; Morrison, Norman; Sumner, Lloyd W.; Goodacre, Royston; Hardy, Nigel; Taylor, Chris F.; Fostel, Jennifer; Kristal, Bruce; Kaddurah-Daouk, Rima; Mendes, Pedro; van Ommen, B.; Lindon, John C.; Sansone, Susanna-Assunta (2007-09-01)
    In 2005, the Metabolomics Standards Initiative has been formed. An outline and general introduction is provided to inform about the history, structure, working plan and intentions of this initiative. Comments on any of the ...
  • Fiehn, Oliver; Robertson, Donald; Griffin, Julian L.; van der Werf, Mariet; Nikolau, Basil; Morrison, Norman; Sumner, Lloyd W.; Goodacre, Royston; Hardy, Nigel; Taylor, Chris F.; Fostel, Jennifer; Kristal, Bruce; Kaddurah-Daouk, Rima; Mendes, Pedro; van Ommen, B.; Lindon, John C.; Sansone, Susanna-Assunta (2007-09-01)
    In 2005, the Metabolomics Standards Initiative has been formed. An outline and general introduction is provided to inform about the history, structure, working plan and intentions of this initiative. Comments on any of the ...
  • Shen, Qiang; Daly, Ronan (2007)
    Bayesian networks have become a standard technique in the representation of uncertain knowledge. This paper proposes methods that can accelerate the learning of a Bayesian network structure from a data set. These methods ...
  • Liang, Shen; He, Jun (2010-07)
    The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mutation operator may be efficient, the ...
  • He, Jun; Kang, Lishan (2009-04-23)
    Multigrid methods have been proven to be an efficient approach in accelerating the convergence rate of numerical algorithms for solving partial differential equations. This paper investigates whether multigrid methods are ...
  • He, Jun; Kang, Lishan (2009-04-23)
    Multigrid methods have been proven to be an efficient approach in accelerating the convergence rate of numerical algorithms for solving partial differential equations. This paper investigates whether multigrid methods are ...
  • Rowland, Jeremy John (2003-11)
    The expressive power, powerful search capability, and the explicit nature of the resulting models make evolutionary methods very attractive for supervised learning applications in bioinformatics. However, their characteristics ...

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