Andrew C. Parnell

According to our database, Andrew C. Parnell authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Visualisations for Bayesian Additive Regression Trees.

Alan Inglis, Andrew Parnell, Catherine Hurley

J. Data Sci. Stat. Vis., February, 2024

GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes.

Mateus Maia, Keefe Murphy, Andrew C. Parnell

Comput. Stat. Data Anal., February, 2024

2023

vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models.

Alan Inglis, Andrew Parnell, Catherine Hurley

R J., June, 2023

Review of Clustering Methods for Functional Data.

Mimi Zhang, Andrew Parnell

ACM Trans. Knowl. Discov. Data, 2023

SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring.

Amin Shoari Nejad, Rocío Alaíz-Rodríguez, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew C. Parnell

CoRR, 2023

Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment.

Nathan McJames, Andrew C. Parnell, Yong Chen Goh, Ann O'Shea

CoRR, 2023

Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials.

Antônia A. L. Dos Santos, Danilo A. Sarti, Rafael A. Moral, Andrew C. Parnell

CoRR, 2023

Output Feedback Reinforcement Learning for Temperature Control in a Fused Deposition Modelling Additive Manufacturing System.

Eleni Zavrakli, Andrew Parnell, Subhrakanti Dey

Proceedings of the 9th International Conference on Control, 2023

2022

Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models.

Alan Inglis, Andrew Parnell, Catherine B. Hurley

J. Comput. Graph. Stat., July, 2022

NEAL: An open-source tool for audio annotation.

Anthony Gibbons, Ian Donohue, Courtney E. Gorman, Emma King, Andrew Parnell

CoRR, 2022

Variational Inference for Additive Main and Multiplicative Interaction Effects Models.

Antônia A. L. Dos Santos, Rafael A. Moral, Danilo A. Sarti, Andrew C. Parnell

CoRR, 2022

Hierarchical Embedded Bayesian Additive Regression Trees.

Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan

CoRR, 2022

2021

Bayesian additive regression trees with model trees.

Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell

Stat. Comput., 2021

Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling.

Prerna Tewari, Eugene Kashdan, Cathal Walsh, Cara M. Martin, Andrew C. Parnell, John J. O'Leary

PLoS Comput. Biol., 2021

Semi-parametric Bayesian Additive Regression Trees.

Estevão B. Prado, Andrew C. Parnell, Nathan McJames, Ann O'Shea, Rafael A. Moral

CoRR, 2021

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing.

Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli

CoRR, 2021

2020

An information theoretic approach to quantify the stability of feature selection and ranking algorithms.

Rocío Alaíz-Rodríguez, Andrew C. Parnell

Knowl. Based Syst., 2020

Machine Learning Techniques for the Detection of Inappropriate Erotic Content in Text.

Gonzalo Molpeceres Barrientos, Rocío Alaíz-Rodríguez, Víctor González-Castro, Andrew C. Parnell

Int. J. Comput. Intell. Syst., 2020

Generalizing Gain Penalization for Feature Selection in Tree-Based Models.

Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan

IEEE Access, 2020

A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra.

Rocío Alaíz-Rodríguez, Andrew C. Parnell

IEEE Access, 2020

2019

Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models.

Damien McParland, Szymon Baron, Sarah O'Rourke, Denis Dowling, Eamonn Ahearne, Andrew Parnell

J. Intell. Manuf., 2019

2018

Bayesian Additive Regression Trees using Bayesian model averaging.

Belinda Hernández, Adrian E. Raftery, Stephen R Pennington, Andrew C. Parnell

Stat. Comput., 2018

Contrasting prediction methods for early warning systems at undergraduate level.

Emma Howard, Maria Meehan, Andrew Parnell

Internet High. Educ., 2018

An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process.

Yuanzhi Huang, Eamonn Ahearne, Szymon Baron, Andrew Parnell

CoRR, 2018

2016

GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.

Kevin C. Rue-Albrecht, Paul A. McGettigan, Belinda Hernández, Nicolas C. Nalpas, David A. Magee, Andrew C. Parnell, Stephen V. Gordon, David E. MacHugh

BMC Bioinform., 2016