4 citations · 7 across the 10 of their papers we have counts for
11 papers
What is to be gained by ensemble models in analysis of spectroscopic data?
Katarina Domijan
An empirical study was carried out to compare different implementations of ensemble models aimed at improving prediction in spectroscopic data. A wide range of candidate models wer…
sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling
Kevin Horan, Katarina Domijan, Chris Brunsdon
Fitting areal models which use a spatial weights matrix to represent relationships between geographical units can be a cumbersome task, particularly when these units are not well-b…
Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1
Vibhoothi, Angeliki Katsenou, François Pitié +2
Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut. This High Dynamic Range (HDR) content has gained traction in the c…
Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"
Maria Frizzarin, Giulio Visentin, Alessandro Ferragina +14
In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture…
Hierarchical Embedded Bayesian Additive Regression Trees
Bruna Wundervald, Andrew Parnell, Katarina Domijan
We propose a simple yet powerful extension of Bayesian Additive Regression Trees which we name Hierarchical Embedded BART (HE-BART). The model allows for random effects to be inclu…
Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal +11
A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Re…
Interactive slice visualization for exploring machine learning models
Catherine B. Hurley, Mark O'Connell, Katarina Domijan
Machine learning models fit complex algorithms to arbitrarily large datasets. These algorithms are well-known to be high on performance and low on interpretability. We use interact…
Generalizing Gain Penalization for Feature Selection in Tree-based Models
Bruna Wundervald, Andrew Parnell, Katarina Domijan
We develop a new approach for feature selection via gain penalization in tree-based models. First, we show that previous methods do not perform sufficient regularization and often…
Comparison of Machine Learning Models in Food Authentication Studies
Manokamna Singh, Katarina Domijan
The underlying objective of food authentication studies is to determine whether unknown food samples have been correctly labelled. In this paper we study three near infrared (NIR)…
Solar flare forecasting from magnetic feature properties generated by Solar Monitor Active Region Tracker
Katarina Domijan, D. Shaun Bloomfield, Francois Pitie
We study the predictive capabilities of magnetic feature properties (MF) generated by Solar Monitor Active Region Tracker (SMART) for solar flare forecasting from two datasets: the…
Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R
Mark O'Connell, Catherine B. Hurley, Katarina Domijan
The condvis package is for interactive visualization of sections in data space, showing fitted models on the section, and observed data near the section. The primary goal is the in…