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Found 8 papers, 4 papers with code
What is to be gained by ensemble models in analysis of spectroscopic data?
An empirical study was carried out to compare different implementations of ensemble models aimed at improving prediction in spectroscopic data.
Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1
Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut.
Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"
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
We propose a simple yet powerful extension of Bayesian Additive Regression Trees which we name Hierarchical Embedded BART (HE-BART).
Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"
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 Research Centre and held online in April 2021.
Interactive slice visualization for exploring machine learning models
Machine learning models fit complex algorithms to arbitrarily large datasets.
Generalizing Gain Penalization for Feature Selection in Tree-based Models
We develop a new approach for feature selection via gain penalization in tree-based models.
Comparison of Machine Learning Models in Food Authentication Studies
We apply and compare a large number of classification, dimension reduction and variable selection approaches to these datasets.
