Andrew C. Parnell

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Gene Expression

Gaussian Processes

Feature Selection

Regression Trees

Top Venues

Publications

Rocío Alaiz-Rodríguez, Andrew C. Parnell
An information theoretic approach to quantify the stability of feature selection and ranking algorithms. CoRR (2024)
Mateus Maia, Keefe Murphy, Andrew C. Parnell
GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes. Comput. Stat. Data Anal. 190 (2024)
Amin Shoari Nejad, Rocío Alaíz-Rodríguez, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew C. Parnell
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring. CoRR (2023)
Nathan McJames, Andrew C. Parnell, Yong Chen Goh, Ann O'Shea
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment. CoRR (2023)
Antônia A. L. Dos Santos, Danilo A. Sarti, Rafael A. Moral, Andrew C. Parnell
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials. CoRR (2023)
Mateus Maia, Keefe Murphy, Andrew C. Parnell
GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes. CoRR (2022)
Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan
Hierarchical Embedded Bayesian Additive Regression Trees. CoRR (2022)
Antônia A. L. Dos Santos, Rafael A. Moral, Danilo A. Sarti, Andrew C. Parnell
Variational Inference for Additive Main and Multiplicative Interaction Effects Models. CoRR (2022)
Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell
Bayesian additive regression trees with model trees. Stat. Comput. 31 (3) (2021)
Prerna Tewari, Eugene Kashdan, Cathal Walsh, Cara M. Martin, Andrew C. Parnell, John J. O'Leary
Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling. PLoS Comput. Biol. 17 (8) (2021)
Estevão B. Prado, Andrew C. Parnell, Nathan McJames, Ann O'Shea, Rafael A. Moral
Semi-parametric Bayesian Additive Regression Trees. CoRR (2021)
Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell
Bayesian Additive Regression Trees with Model Trees. CoRR (2020)
Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan
Generalizing Gain Penalization for Feature Selection in Tree-based Models. CoRR (2020)
Bruna D. Wundervald, Andrew C. Parnell, Katarina Domijan
Generalizing Gain Penalization for Feature Selection in Tree-Based Models. IEEE Access 8 (2020)
Gonzalo Molpeceres Barrientos, Rocío Alaíz-Rodríguez, Víctor González-Castro, Andrew C. Parnell
Machine Learning Techniques for the Detection of Inappropriate Erotic Content in Text. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Rocío Alaíz-Rodríguez, Andrew C. Parnell
A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra. IEEE Access 8 (2020)
Rocío Alaíz-Rodríguez, Andrew C. Parnell
An information theoretic approach to quantify the stability of feature selection and ranking algorithms. Knowl. Based Syst. 195 (2020)
Belinda Hernández, Adrian E. Raftery, Stephen R Pennington, Andrew C. Parnell
Bayesian Additive Regression Trees using Bayesian model averaging. Stat. Comput. 28 (4) (2018)
Kévin Rue-Albrecht, Paul A. McGettigan, Belinda Hernández, Nicolas C. Nalpas, David A. Magee, Andrew C. Parnell, Stephen V. Gordon, David E. MacHugh
GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data. BMC Bioinform. 17 (2016)