Andrew C. Parnell

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Finite mixture representations of zero-and-N-inflated distributions for count-compositional data.
J. Multivar. Anal.
André Felipe Berdusco Menezes, Andrew C. Parnell, Keefe Murphy
2024 J jnl
An information theoretic approach to quantify the stability of feature selection and ranking algorithms.
CoRR
Rocío Alaíz-Rodríguez, Andrew C. Parnell
2024 J jnl
GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes.
Comput. Stat. Data Anal.
Mateus Maia, Keefe Murphy, Andrew C. Parnell
2023 J jnl
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials.
CoRR
Antônia A. L. Dos Santos, Danilo A. Sarti, Rafael A. Moral, Andrew C. Parnell
2023 J jnl
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment.
CoRR
Nathan McJames, Andrew C. Parnell, Yong Chen Goh, Ann O'Shea
2023 J jnl
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring.
CoRR
Amin Shoari Nejad, Rocío Alaíz-Rodríguez, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew C. Parnell
2022 J jnl
GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes.
CoRR
Mateus Maia, Keefe Murphy, Andrew C. Parnell
2022 J jnl
Hierarchical Embedded Bayesian Additive Regression Trees.
CoRR
Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan
2022 J jnl
Variational Inference for Additive Main and Multiplicative Interaction Effects Models.
CoRR
Antônia A. L. Dos Santos, Rafael A. Moral, Danilo A. Sarti, Andrew C. Parnell
2021 J jnl
Bayesian additive regression trees with model trees.
Stat. Comput.
Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell
2021 J jnl
Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling.
PLoS Comput. Biol.
Prerna Tewari, Eugene Kashdan, Cathal Walsh, Cara M. Martin, Andrew C. Parnell, John J. O'Leary
2021 J jnl
Semi-parametric Bayesian Additive Regression Trees.
CoRR
Estevão B. Prado, Andrew C. Parnell, Nathan McJames, Ann O'Shea, Rafael A. Moral
2020 J jnl
A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra.
IEEE Access
Rocío Alaíz-Rodríguez, Andrew C. Parnell
2020 J jnl
An information theoretic approach to quantify the stability of feature selection and ranking algorithms.
Knowl. Based Syst.
Rocío Alaíz-Rodríguez, Andrew C. Parnell
2020 J jnl
Bayesian Additive Regression Trees with Model Trees.
CoRR
Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell
2020 J jnl
Generalizing Gain Penalization for Feature Selection in Tree-Based Models.
IEEE Access
Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan
2020 J jnl
Generalizing Gain Penalization for Feature Selection in Tree-based Models.
CoRR
Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan
2020 J jnl
Machine Learning Techniques for the Detection of Inappropriate Erotic Content in Text.
Int. J. Comput. Intell. Syst.
Gonzalo Molpeceres Barrientos, Rocío Alaíz-Rodríguez, Víctor González-Castro, Andrew C. Parnell
2018 J jnl
Bayesian Additive Regression Trees using Bayesian model averaging.
Stat. Comput.
Belinda Hernández, Adrian E. Raftery, Stephen R Pennington, Andrew C. Parnell
2016 J jnl
GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.
BMC Bioinform.
Kevin C. Rue-Albrecht, Paul A. McGettigan, Belinda Hernández, Nicolas C. Nalpas, David A. Magee, Andrew C. Parnell, Stephen V. Gordon, David E. MacHugh