Andrew C. Parnell
Orcid: 0000-0001-7956-7939
According to our database1,
Andrew C. Parnell
authored at least 29 papers
between 2016 and 2024.
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Online presence:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2024
J. Data Sci. Stat. Vis., February, 2024
GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes.
Comput. Stat. Data Anal., February, 2024
SERT: A transformer based model for multivariate temporal sensor data with missing values for environmental monitoring.
Comput. Geosci., 2024
Generative AI-based data augmentation for improved bioacoustic classification in noisy environments.
CoRR, 2024
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement.
CoRR, 2024
2023
vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models.
R J., June, 2023
ACM Trans. Knowl. Discov. Data, 2023
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring.
CoRR, 2023
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment.
CoRR, 2023
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials.
CoRR, 2023
Output Feedback Reinforcement Learning for Temperature Control in a Fused Deposition Modelling Additive Manufacturing System.
Proceedings of the 9th International Conference on Control, 2023
2022
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models.
J. Comput. Graph. Stat., July, 2022
Variational Inference for Additive Main and Multiplicative Interaction Effects Models.
CoRR, 2022
2021
Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling.
PLoS Comput. Biol., 2021
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing.
CoRR, 2021
2020
An information theoretic approach to quantify the stability of feature selection and ranking algorithms.
Knowl. Based Syst., 2020
Machine Learning Techniques for the Detection of Inappropriate Erotic Content in Text.
Int. J. Comput. Intell. Syst., 2020
IEEE Access, 2020
IEEE Access, 2020
2019
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models.
J. Intell. Manuf., 2019
2018
Stat. Comput., 2018
Internet High. Educ., 2018
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process.
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.
BMC Bioinform., 2016