Michael O’Neill
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View article: GeoWarp: Warped spatial processes for inferring subsea sediment properties
GeoWarp: Warped spatial processes for inferring subsea sediment properties Open
For offshore structures like wind turbines, subsea infrastructure, pipelines, and cables, it is crucial to quantify the properties of the seabed sediments at a proposed site. However, data collection offshore is costly, so analysis of the …
View article: A review of temporal aggregation and systematic sampling on time-series analysis
A review of temporal aggregation and systematic sampling on time-series analysis Open
Purpose This review investigates the effects of temporal aggregation and systematic sampling on time-series analysis, focusing on their influence on data accuracy, interpretability and statistical properties. The purpose of the study is to…
View article: On the analysis of time-varying causality between VIX exchange-traded products and VIX futures contracts in high and low volatility regimes
On the analysis of time-varying causality between VIX exchange-traded products and VIX futures contracts in high and low volatility regimes Open
Purpose The authors analyse the nature of nonlinear long-run causal dynamics between VIX futures and exchange-traded products (ETPs). Design/methodology/approach Nonlinear long-run causal relations between daily price movements in ETPs and…
View article: Accurate structure prediction of biomolecular interactions with AlphaFold 3
Accurate structure prediction of biomolecular interactions with AlphaFold 3 Open
The introduction of AlphaFold 2 1 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design 2–6 . Here we describe our AlphaFold 3 model wi…
View article: A Comparative Analysis of Deep Learning Mobile Networks on Marine Vessel Detection
A Comparative Analysis of Deep Learning Mobile Networks on Marine Vessel Detection Open
Maritime vessel detection and classification is a challenging research domain in computer vision due to, for example, ever-changing weather patterns, tidal and seasonal variations. In recent years, deep learning or deep neural networks (DN…
View article: Amplifying Limitations, Harms and Risks of Large Language Models
Amplifying Limitations, Harms and Risks of Large Language Models Open
We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of science-fict…
View article: Adaptive Athlete Training Plan Generation: An intelligent control systems approach
Adaptive Athlete Training Plan Generation: An intelligent control systems approach Open
This system can be used to support the decision making of practitioners across several areas considered important for the effective planning and adaption of athletic training.
View article: GEVA - Grammatical Evolution in Java (v1.0)
GEVA - Grammatical Evolution in Java (v1.0) Open
GEVA is an open source implementation of Grammatical Evolution in Java developed at UCD’s Natural Computing Research & Applications group. As well as providing the characteristic genotype-phenotype mapper of GE a search algorithm engine an…
View article: An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures
An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures Open
We wish to explore the contribution that asocial and social learning might play as a mechanism for self-adaptation in the search for variable-length structures by an evolutionary algorithm. An extremely challenging, yet simple to understan…
View article: Optimizing Team Sport Training With Multi-Objective Evolutionary Computation
Optimizing Team Sport Training With Multi-Objective Evolutionary Computation Open
This research introduces a new novel method for mathematically optimizing team sport training models to enhance two measures of athletic performance using an evolutionary computation based approach. A common training load model, consisting…
View article: Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison
Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison Open
The purpose of this research was to compare the robustness and performance of a local and global optimization algorithm when given the task of fitting the parameters of a common non-linear dose-response model utilized in the field of exerc…
View article: A Line-Search Descent Algorithm for Strict Saddle Functions with\n Complexity Guarantees
A Line-Search Descent Algorithm for Strict Saddle Functions with\n Complexity Guarantees Open
We describe a line-search algorithm which achieves the best-known worst-case\ncomplexity results for problems with a certain "strict saddle" property that\nhas been observed to hold in low-rank matrix optimization problems. Our\nalgorithm …
View article: High-Resolution Mammogram Synthesis using Progressive Generative\n Adversarial Networks
High-Resolution Mammogram Synthesis using Progressive Generative\n Adversarial Networks Open
The ability to generate synthetic medical images is useful for data\naugmentation, domain transfer, and out-of-distribution detection. However,\ngenerating realistic, high-resolution medical images is challenging,\nparticularly for Full Fi…
View article: High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks Open
The ability to generate synthetic medical images is useful for data augmentation, domain transfer, and out-of-distribution detection. However, generating realistic, high-resolution medical images is challenging, particularly for Full Field…
View article: A Hybrid Algorithm for Multi-Objective Test Case Selection
A Hybrid Algorithm for Multi-Objective Test Case Selection Open
Testing is crucial to ensure the quality of software systems-but testing is an expensive process, so test managers try to minimise the set of tests to run to save computing resources and speed up the testing process and analysis. One probl…
View article: Investigating the Evolvability of Web Page Load Time
Investigating the Evolvability of Web Page Load Time Open
Client-side Javascript execution environments (browsers) allow anonymous functions and event-based programming concepts such as callbacks. We investigate whether a mutate-and-test approach can be used to optimise web page load time in thes…
View article: Additional file 2: of Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model
Additional file 2: of Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model Open
Table S1. The list of DEGs (FDR < 0.05 and |fold change| > 1.5) at each age groups of rTg4510. (XLSX 970 kb)
View article: Finite-sample genome-wide regression p-values (GWRPV) with a non-normally distributed phenotype
Finite-sample genome-wide regression p-values (GWRPV) with a non-normally distributed phenotype Open
This paper derives the exact finite-sample p-value for univariate regression of a quantitative phenotype on individual genome markers, relying on a mixture distribution for the dependent variable. The p-value estimator conventionally used …
View article: Limitations from Assumptions in Generative Music Evaluation
Limitations from Assumptions in Generative Music Evaluation Open
The merit of a given piece of music is difficult to evaluate objectively; the merit of a computational system that creates such a piece of music may be even more so. In this article, we propose that there may be limitations resulting from …
View article: PonyGE2
PonyGE2 Open
Grammatical Evolution (GE) is a population-based evolutionary algorithm,\nwhere a formal grammar is used in the genotype to phenotype mapping process.\nPonyGE2 is an open source implementation of GE in Python, developed at UCD's\nNatural C…
View article: A Search for Improved Performance in Regular Expressions
A Search for Improved Performance in Regular Expressions Open
The primary aim of automated performance improvement is to reduce the running time of programs while maintaining (or improving on) functionality. In this paper, Genetic Programming is used to find performance improvements in regular expres…
View article: Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets Open
Credit card fraud detection based on machine learning has recently attracted considerable interest from the research community. One of the most important tasks in this area is the ability of classifiers to handle the imbalance in credit ca…
View article: Does systematic sampling preserve granger causality with an application to high frequency financial data
Does systematic sampling preserve granger causality with an application to high frequency financial data Open
In applied econometric literature, the causal inferences are often made based on temporally aggregated or systematically sampled data. A number of theoretical studies have pointed out that temporal aggregation has distorting effects on cau…