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06/19/2023
reslr: An R package for relative sea level modelling
We present reslr, an R package to perform Bayesian modelling of relative...
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06/05/2023
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring
Environmental monitoring is crucial to our understanding of climate chan...
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03/08/2023
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment
Bayesian Causal Forests (BCF) is a causal inference machine learning mod...
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01/23/2023
A noisy-input generalised additive model for relative sea-level change along the Atlantic coast of North America
We propose a Bayesian, noisy-input, spatial-temporal generalised additiv...
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12/02/2022
NEAL: An open-source tool for audio annotation
Passive acoustic monitoring is used widely in ecology, biodiversity, and...
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10/20/2022
vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models
We present vivid, an R package for visualizing variable importance and v...
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10/03/2022
Review of Clustering Methods for Functional Data
Functional data clustering is to identify heterogeneous morphological pa...
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09/14/2022
Vector Time Series Modelling of Turbidity in Dublin Bay
Turbidity is commonly monitored as an important water quality index. Hum...
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08/18/2022
Visualizations for Bayesian Additive Regression Trees
Tree-based regression and classification has become a standard tool in m...
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04/14/2022
Hierarchical Embedded Bayesian Additive Regression Trees
We propose a simple yet powerful extension of Bayesian Additive Regressi...
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02/18/2022
A Bayesian Hierarchical Time Series Model for Reconstructing Hydroclimate from Multiple Proxies
We propose a Bayesian model which produces probabilistic reconstructions...
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11/16/2021
Inference for extreme spatial temperature events in a changing climate with application to Ireland
We investigate the changing nature of the frequency, magnitude and spati...
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09/30/2021
Bayesian Multi-Species N-Mixture Models for Unmarked Animal Communities
We propose an extension of the N-mixture model which allows for the esti...
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08/09/2021
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models
Variable importance, interaction measures, and partial dependence plots ...
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07/27/2021
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
Bayesian optimization (BO) is an approach to globally optimizing black-b...
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06/12/2020
Generalizing Gain Penalization for Feature Selection in Tree-based Models
We develop a new approach for feature selection via gain penalization in...
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11/13/2019
Real-Time Anomaly Detection for Advanced Manufacturing: Improving on Twitter's State of the Art
The detection of anomalies in real time is paramount to maintain perform...
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12/20/2018
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
We examined the use of three conventional anomaly detection methods and ...
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10/24/2018
Statistical modeling of rates and trends in Holocene relative sea level
Characterizing the spatio-temporal variability of relative sea level (RS...
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05/01/2018