research
∙
09/13/2023
An adaptive functional regression framework for spatially heterogeneous signals in spectroscopy
The attention towards food products characteristics, such as nutritional...
share
research
∙
07/20/2023
Sparse model-based clustering of three-way data via lasso-type penalties
Mixtures of matrix Gaussian distributions provide a probabilistic framew...
research
∙
10/10/2022
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 ed...
research
∙
07/05/2021
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...
research
∙
05/17/2021
Group-wise shrinkage for multiclass Gaussian Graphical Models
Gaussian Graphical Models are widely employed for modelling dependence a...
research
∙
05/16/2021
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Between the years 2015 and 2019, members of the Horizon 2020-funded Inno...
research
∙
04/07/2021
Co-clustering of time-dependent data via Shape Invariant Model
Multivariate time-dependent data, where multiple features are observed o...
research
∙
01/29/2021
Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
In recent years animal diet has been receiving increased attention, in p...
research
∙
11/15/2019
How bettering the best? Answers via blending models and cluster formulations in density-based clustering
With the recent growth in data availability and complexity, and the asso...
research
∙
01/22/2019
Modal clustering asymptotics with applications to bandwidth selection
Density-based clustering relies on the idea of linking groups to some sp...
research
∙
09/09/2018
