15 citations · 21 across the 7 of their papers we have counts for
3 papers · 1 filter
Robust variable selection in the framework of classification with label noise and outliers: applications to spectroscopic data in agri-food
Andrea Cappozzo, Ludovic Duponchel, Francesca Greselin +1
Classification of high-dimensional spectroscopic data is a common task in analytical chemistry. Well-established procedures like support vector machines (SVMs) and partial least sq…
Robust variable selection for model-based learning in presence of adulteration
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
The problem of identifying the most discriminating features when performing supervised learning has been extensively investigated. In particular, several methods for variable selec…
Handling missing data in model-based clustering
Alessio Serafini, Thomas Brendan Murphy, Luca Scrucca
Gaussian Mixture models (GMMs) are a powerful tool for clustering, classification and density estimation when clustering structures are embedded in the data. The presence of missin…