Browsing Information Technology (Conference Papers) by Title
Now showing items 11-30 of 47
-
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 ... -
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 ... -
An evolutionary approach to formation control with mobile robots
(SciTePress Digital Library, 2016)The field of swarm robotics studies multi-robot systems, emphasising decentralised and self-organising behaviours that deal with limited individual abilities, local sensing and local communication. A robotic system needs ... -
Evolving collective behaviours in simulated kilobots
(Association for Computing Machinery, 2018-04-09)The field of Evolutionary Robotics has multiple common tasks and widely used benchmark activities such as navigation, obstacle avoidance, and phototaxis. We present an evolutionary approach to learning behaviours that ... -
Evolving Racetrack Knowledge in a Racing Game.
(21st National Conference on Artificial Intelligence and Cognitive Science, 2010-07-30)This paper discusses the use of a Genetic Algorithm (GA) to evolve waypoint-based racing lines for computer-controlled cars in an online game. One goal is the reduction of developer effort, in order to automatically produce ... -
Examining the impact of neutrality on genetic algorithm population evolution
(SciTePress Digital Library, 2015-11-12)This paper examines the introduction of neutrality as proposed by Kimura (Kimura, 1968) into the genotype-phenotype mapping of a Genetic Algorithm (GA). The paper looks at the evolution of both a simple GA (SGA) and a ... -
Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes
(IEEE, 2011-06-05)In nature, living organisms can be viewed as the product of their genotype-phenotype mapping (GP-map). This paper presents a GP-map loosely based on the biological phe- nomena of transcription and translation, to create a ... -
Experimental Assessment of an Emotion Tracking Software Agent (ETA) for Assisting Communicative Interactions of Multitasking Users in Groupware
(Eurosis, 2011-08-22)Interactions such as discussion and negotiation in face-to-face work contexts strongly rely on non-verbal feedback. Such feedback provides indications of important negotiation states such as agreement or disagreement and ... -
A genetic algorithm with a multi-layered genotype-phenotype mapping
(SciTePress Digital Library, 2010-08-24)In this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers ... -
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 ... -
Identifying the reality gap between abstract and realistic models using evolved agents and simulated kilobots
(IEEE, 2018-12-12)A common challenge in evolutionary swarm robotics is the transfer of simulated results into real-world applications. This difficulty can arise in a variety of real-world settings and problems such as sensory differences in ...