Andrew Parnell

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Temperature Control

Experimental Designs

Machine Learning Models

Top Venues

J. Comput. Graph. Stat.

Publications

Alan Inglis, Andrew Parnell, Catherine Hurley
Visualisations for Bayesian Additive Regression Trees. J. Data Sci. Stat. Vis. 4 (1) (2024)
Nathan McJames, Ann O'Shea, Andrew Parnell
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement. CoRR (2024)
Amin Shoari Nejad, Rocío Alaíz-Rodríguez, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew Parnell
SERT: A transformer based model for multivariate temporal sensor data with missing values for environmental monitoring. Comput. Geosci. 188 (2024)
Alan Inglis, Andrew Parnell, Natarajan Subramani, Fiona Doohan
Machine Learning Applied to the Detection of Mycotoxin in Food: A Review. CoRR (2024)
Mimi Zhang, Andrew Parnell
Review of Clustering Methods for Functional Data. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Eleni Zavrakli, Andrew Parnell, Subhrakanti Dey
Output Feedback Reinforcement Learning for Temperature Control in a Fused Deposition Modelling Additive Manufacturing System. CoDIT (2023)
Alan Inglis, Andrew Parnell, Catherine Hurley
vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models. R J. 15 (2) (2023)
Alan Inglis, Andrew Parnell, Catherine B. Hurley
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models. J. Comput. Graph. Stat. 31 (3) (2022)
Anthony Gibbons, Ian Donohue, Courtney E. Gorman, Emma King, Andrew Parnell
NEAL: An open-source tool for audio annotation. CoRR (2022)
Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing. CoRR (2021)
Damien McParland, Szymon Baron, Sarah O'Rourke, Denis Dowling, Eamonn Ahearne, Andrew Parnell
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models. J. Intell. Manuf. 30 (3) (2019)
Emma Howard, Maria Meehan, Andrew Parnell
Contrasting prediction methods for early warning systems at undergraduate level. Internet High. Educ. 37 (2018)
Yuanzhi Huang, Eamonn Ahearne, Szymon Baron, Andrew Parnell
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process. CoRR (2018)