Andrew Parnell

21 papers C 1Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-driven linear quadratic tracking based temperature control of a big area additive manufacturing system.
J. Intell. Manuf.
Eleni Zavrakli, Andrew Parnell, Andrew Dickson, Subhrakanti Dey
2025 J jnl
ExActR: A Shiny app for creating ecosystem extent accounts.
Ecol. Informatics
Anthony Gibbons, Francesco Martini, Cian White, Emma King, Jane C. Stout, Ian Donohue, Andrew Parnell
2025 J jnl
Permutation-based visualisation of input and encoded space in autoencoders.
J. Data Sci. Stat. Vis.
Alan Inglis, Andrew Parnell
2025 J jnl
Predicting BVD Re-emergence in Irish Cattle From Highly Imbalanced Herd-Level Data Using Machine Learning Algorithms.
CoRR
Niamh Mimnagh, Andrew Parnell, Conor McAloon, Jaden Carlson, Maria Guelbenzu, Jonas Brock, Damien Barrett, Guy McGrath, Jamie Tratalos, Rafael A. Moral
2025 J jnl
Predicting Mycotoxin Contamination in Irish Oats Using Deep and Transfer Learning.
CoRR
Alan Inglis, Fiona Doohan, Natarajan Subramani, Breige McNulty, Chris Elliott, Anne Nugent, Julie Meneely, Brett Greer, Stephen Kildea, Diana Bucur, Martin Danaher, Melissa Di Rocco, Lisa Black, Adam Gauley, Naoise McKenna, Andrew Parnell
2025 J jnl
Reinforcement Learning based temperature regulation for a Material Extrusion Additive Manufacturing system.
IFAC J. Syst. Control.
Eleni Zavrakli, Andrew Parnell, Subhrakanti Dey
2025 J jnl
reslr: An R Package for Relative Sea Level Modelling.
R J.
Maeve Upton, Andrew Parnell, Niamh Cahill
2024 J jnl
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement.
CoRR
Nathan McJames, Ann O'Shea, Andrew Parnell
2024 J jnl
Generative AI-based data augmentation for improved bioacoustic classification in noisy environments.
CoRR
Anthony Gibbons, Emma King, Ian Donohue, Andrew Parnell
2024 J jnl
Machine Learning Applied to the Detection of Mycotoxin in Food: A Review.
CoRR
Alan Inglis, Andrew Parnell, Natarajan Subramani, Fiona Doohan
2024 J jnl
SERT: A transformer based model for multivariate temporal sensor data with missing values for environmental monitoring.
Comput. Geosci.
Amin Shoari Nejad, Rocío Alaíz-Rodríguez, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew Parnell
2024 J jnl
Visualisations for Bayesian Additive Regression Trees.
J. Data Sci. Stat. Vis.
Alan Inglis, Andrew Parnell, Catherine Hurley
2023 C conf
Output Feedback Reinforcement Learning for Temperature Control in a Fused Deposition Modelling Additive Manufacturing System.
CoDIT
Eleni Zavrakli, Andrew Parnell, Subhrakanti Dey
2023 J jnl
Review of Clustering Methods for Functional Data.
ACM Trans. Knowl. Discov. Data
Mimi Zhang, Andrew Parnell
2023 J jnl
vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models.
R J.
Alan Inglis, Andrew Parnell, Catherine Hurley
2022 J jnl
NEAL: An open-source tool for audio annotation.
CoRR
Anthony Gibbons, Ian Donohue, Courtney E. Gorman, Emma King, Andrew Parnell
2022 J jnl
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models.
J. Comput. Graph. Stat.
Alan Inglis, Andrew Parnell, Catherine B. Hurley
2021 J jnl
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing.
CoRR
Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli
2019 J jnl
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models.
J. Intell. Manuf.
Damien McParland, Szymon Baron, Sarah O'Rourke, Denis Dowling, Eamonn Ahearne, Andrew Parnell
2018 J jnl
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process.
CoRR
Yuanzhi Huang, Eamonn Ahearne, Szymon Baron, Andrew Parnell
2018 J jnl
Contrasting prediction methods for early warning systems at undergraduate level.
Internet High. Educ.
Emma Howard, Maria Meehan, Andrew Parnell