Browsing Information Technology (Conference Papers) by Issue Date
Now showing items 1-20 of 47
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The Automatic Morphological Description and Classification of Archaeological Monuments from Vertical Aerial Photographs.
(OESI/IMVIP, 1998)For most of this century, aerial photography has been an important technique for the discovery, recording and analysis of archaeological sites. For many regions there are vast archives of aerial photographs available; ... -
The Genetic Evolution of Kernels for Support Vector Machine Classifiers
(2004)Abstract. The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classi¿cation of data. One problem that faces the user of an SVM is how to choose a kernel and the speci¿c parameters for ... -
Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework
(2004)This paper presents an ANN-based diagnostic system for arrhythmia using Neural Network Classifier with Bayesian framework by time series biosignals. The Neural Network Classifier is built by the use of logistic regression ... -
Bayesian ANN Classifier for ECG Arrhythmia Diagnostic System: A Comparison Study
(2005)Abstract¿This paper outlines a system for detection of cardiac arrhythmias within ECG signals, based on a Bayesian Artificial Neural Network (ANN) classifier. The Bayesian (or Probabilistic) ANN Classifier is built by the ... -
Classification of a Target Analyte in Solid Mixtures using Principal Component Analysis, Support Vector Machines and Raman Spectroscopy
(2005)The quantitative analysis of illicit materials using Raman spectroscopy is of widespread interest for law enforcement and healthcare applications. One of the difficulties faced when analysing illicit mixtures is the ... -
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
(2005)The classi¿cation of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning, as the presence of high numbers of redundant or highly correlated ... -
Qualitative and Quantitative Analysis of Chlorinated Solvents using Raman Spectroscopy and Machine Learning
(2005)The unambiguous identification and quantification of hazardous materials is of increasing importance in many sectors such as waste disposal, pharmaceutical manufacturing, and environmental protection. One particular ... -
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ... -
Neural Network Approach to Predicting Stock Exchange Movements using External Factors
(2005)The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements in the Dow Jones Industrial Average index. The performance ... -
A Comparison of Petri Net and System Dynamics Approaches for Modelling Dynamic Feedback Systems
(2006)Petri nets are a valuable tool that can be used to simulate workflow systems. They are based on a state-transition approach, and in common with discrete event simulation, events can be scheduled to fire at different time ... -
An evolutionary approach to automatic kernel construction
(2006)Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ... -
The Evolution of a Kernel-Based Distance Metric for k-NN Regression
(2007)k-Nearest Neighbours (k-NN) is a well understood and widely-used approach to classification and regression problems. In many cases, such applications of k-NN employ the standard Euclidean distance metric for the determination ... -
One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation
(2007)Abstract. Population-based search methods such as evolutionary algorithms, shuffled complex algorithms, simulated annealing and ant colony search are increasingly used as automatic calibration methods ... -
The WCC Heuristic Evaluation Set - A Methodology for Evaluating the Usability of Web Communication and Collaboration (WCC) Groupware in Teaching and Learning.
(EdTech, 2007)A growing number of workplaces and educational environments are implementing virtual teams (VTs) or intend to in the future, and it is likely that most information workers will become part of a virtual team at some stage ... -
On the Classification Performance of TAN and General Bayesian Networks
(2008)Over a decade ago, Friedman et al. introduced the Tree Augmented Naïve Bayes (TAN) classifier, with experiments indicating that it significantly outperformed Naïve Bayes (NB) in terms of classification ... -
Probabilistic Detection of Short Events, with Application to Critical Care Monitoring
(2008)We describe an application of probabilistic modeling and inference technology to the problem of analyzing sensor data in the setting of an intensive care unit (ICU). In particular, we consider the arterial-line blood ... -
A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution
(2008)This paper describes an application of data mining techniques to the analysis of student academic records, collected at Limerick Institute of Technology, with the goal of acquiring clearer, evidence-based ... -
Probabilistic Modeling of Sensor Artifacts in Critical Care
(2008)We describe an application of probabilistic modeling and inference technology to the problem of analyzing sensor data in the setting of an intensive care unit (ICU). In particular, we consider the arterial-line blood ... -
A Machine Learning Application for Classification of Chemical Spectra
(2008)This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ... -
Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data
(2009)Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characterised by the data, whereas in many ...