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A Community Care Information System

SummaryThis paper describes the development of information systems for the community health and social services programme of a regional health authority. The objectives and background to three projects...

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Crossing Over Genetic Algorithms: The Sugal Generalised GA

AbstractSugal is a major new public-domain software package designed to support experimentation with, and implementation of, Genetic Algorithms. Sugal includes a generalised Genetic Algorithm, which...

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Quantification of Diabetic Retinopathy using Neural Networks and Sensitivity...

AbstractThe design of neural network classifiers for the identification of diabetic retinopathy is discussed. Red-free digitised fundal images are tiled, and a neural network is trained to distinguish...

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MetaBuilder: The Diagrammer’s Diagrammer

AbstractA software tool named MetaBuilder is described. MetaBuilder’s purpose is to enable the rapid creation of computerised diagram editing tools for structured diagrammatic notations. At its heart...

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Expression Inference — Genetic Symbolic Classification Integrated with...

AbstractExpression Inference is a parsimonious, comprehensible alternative to semi-parametric and non-parametric classification techniques such as neural networks, which generates compact symbolic...

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Novelty Detection in Video Surveillance Using Hierarchical Neural Networks

AbstractA hierarchical self-organising neural network is described for the detection of unusual pedestrian behaviour in video-based surveillance systems. The system is trained on a normal data set,...

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A Pareto Self-Organizing Map

AbstractSelf Organizing Features Maps are used for a variety of tasks in visualization and clustering, acting to transform data from a high-dimensional original feature space to a (usually)...

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Autonomous Agent Models of Stock Markets

AbstractThe use of artificial agents in the studyof stock markets has aroused much interest in the past two decades. Modelsof markets consisting of agents were built to reinforce or question theoriesin...

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Multi-objective Genetic Programming Optimization of Decision Trees for...

AbstractAlthough there has been considerable study in the area of trading- off accuracy and comprehensibility of decision tree models, the bulk of the methods dwell on sacrificing comprehensibility for...

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Assessment of stereoscopic optic disc images using an autostereoscopic screen...

AbstractBackgroundStereoscopic assessment of the optic disc morphology is an important part of the care of patients with glaucoma. The aim of this study was to assess stereoviewing of stereoscopic...

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FPGA-Based Anomalous Trajectory Detection Using SOFM

AbstractA system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organising Feature...

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A low variance error boosting algorithm

AbstractThis paper introduces a robust variant of AdaBoost, cw-AdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with data sets, such as...

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Robust Pose Recognition of the Obscured Human Body

AbstractThis paper presents a robust automated noninvasive video monitoring approach to recover the human pose in conditions with persistent heavy obscuration. The proposed methods are compared with...

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Effectiveness of a structured education reminiscence-based programme for...

AbstractBackgroundCurrent projections indicate that there will be a significant increase in the number of people with dementia in Ireland, from approximately 40,000 at present to 100,000 by 2036....

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Erratum to: Robust Pose Recognition of the Obscured Human Body

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A commentary on “The greenhouse-gas footprint of natural gas in shale...

AbstractNatural gas is widely considered to be an environmentally cleaner fuel than coal because it does not produce detrimental by-products such as sulfur, mercury, ash and particulates and because it...

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DC-Image for Real Time Compressed Video Matching

AbstractThis chapter presents a suggested framework for video matching based on local features extracted directly from the DC-image of MPEG compressed videos, without full decompression. In addition,...

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The association between retinal vascular geometry changes and diabetic...

AbstractBackgroundThe study describes the relationship of retinal vascular geometry (RVG) to severity of diabetic retinopathy (DR), and its predictive role for subsequent development of proliferative...

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Compressed video matching: Frame-to-frame revisited

AbstractThis paper presents an improved frame-to-frame (F-2-F) compressed video matching technique based on local features extracted from reduced size images, in contrast with previous F-2-F techniques...

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Exploiting the Retinal Vascular Geometry in Identifying the Progression to...

AbstractMany studies have been conducted, investigating the effects that diabetes has to the retinal vasculature. Identifying and quantifying the retinal vascular changes remains a very challenging...

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