Browsing Information Technology (Conference Papers) by Title
Now showing items 1-20 of 47
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Altering the granularity of neutrality in a multi-layered genetic algorithm
(SciTePress Digital Library, 2014)By adopting a basic interpretation of the biological processes of transcription and translation, the multilayered GA (MGA) introduces a genotype-phenotype mapping for a haploid genotype, which allows the granularity of the ... -
Analysing the impact of dimensionality on diversity in a multi-layered Genotype-Phenotype mapped genetic algorithm
(IEEE, 2013-06-20)This paper examines the impact of changes in dimensionality on a multi-layered genotype-phenotype mapped GA. To gain an understanding of the impact we carry out a series of experiments on a number of well understood ... -
An analysis of online Twitter sentiment surrounding the European refugee crisis
(SciTePress Digital Library, 2016)Using existing natural language and sentiment analysis techniques, this study explores different dimensions of mood states of tweet content relating to the refugee crisis in Europe. The study has two main goals. The first ... -
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 ... -
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
(Wiley, 2012-05-30)Public Infrastructure as a Service (IaaS) clouds such as Amazon, GoGrid and Rackspace deliver computational resources by means of virtualisation technologies. These technologies allow multiple independent virtual machines ... -
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 ... -
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; ... -
Autonomous hvac control, a reinforcement learning approach
(Springer Verlag, 2015-08-29)Abstract—Recent high profile developments of autonomous learning thermostats by companies such as Nest Labs and Honeywell have brought to the fore the possibility of ever greater numbers of intelligent devices permeating ... -
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 ... -
The benefits of system dynamics simulation for sustainability education
(System Dynamics Society, 2021-07-26)Education for Sustainable Development (ESD) is vital to the success of the United Nation¿s Sustainable Development Goals, yet it has so far proved difficult to implement. One reason for this is the systemic understanding ... -
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 ... -
A comparison of automatic labelling approaches for sentiment analysis
(SciTePress, 2022-07-11)Labelling a large quantity of social media data for the task of supervised machine learning is not only time-consuming but also difficult and expensive. On the other hand, the accuracy of supervised machine learning models ... -
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 ... -
Cyclic dominance in the spatial coevolutionary optional prisoner's dilemma game
(CEUR-WS.org, 2016-09-20)This paper studies scenarios of cyclic dominance in a coevolutionary spatial model in which game strategies and links between agents adaptively evolve over time. The Optional Prisoner’s Dilemma (OPD) game is employed. ... -
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 ... -
Diversifying techniques and neutrality in genetic algorithms
(SciTePress Digital Library, 2016)This paper examines the implicit maintenance of diversity within a population through the inclusion of a layered genotype-phenotype map (GP-map) in a Genetic Algorithm (GA), based on the principal of Neutral theory. 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 ... -
Emotion Tracking for Remote Conferencing Applications using Neural Networks.
(The 21st National Conference on Artificial Intelligence and Cognitive Science, 2010-08-31)In face-to-face work, discussion and negotiation relies strongly on non-verbal feedback, which provides important clues to negotiation states such as agreement/disagreement and understanding/confusion, as well as indicating ... -
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 ... -
Evolution of cooperation in N-player social dilemmas: The importance of being mobile
(SciTePress Digital Library, 2016)This paper addresses issues regarding the emergence of cooperation in evolutionary, spatial game-theoretic simulations. In the model considered, agents participate in a social dilemma with their neighbours and have the ...