Search Results for author: Alessandro Casa

Found 5 papers, 3 papers with code

Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"

1 code implementation5 Jul 2021 Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, Katarina Domijan, Federico Ferraccioli, Elena Hayes, Georgiana Ifrim, Agnieszka Konkolewska, Thach Le Nguyen, Uche Mbaka, Giovanna Ranzato, Ashish Singh, Marco Stefanucci, Alessandro Casa

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.

Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider

1 code implementation16 May 2021 Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler

Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named "AMVA4NewPhysics" studied the customization and application of advanced multivariate analysis methods and statistical learning tools to high-energy physics problems, as well as developed entirely new ones.

Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data

no code implementations29 Jan 2021 Alessandro Casa, Tom F. O'Callaghan, Thomas Brendan Murphy

Hence statistical tools studying potential differences among milk samples coming from animals on different feeding systems are required, thus providing increased security around the authenticity of the products.

Methodology Applications

Modal clustering asymptotics with applications to bandwidth selection

no code implementations22 Jan 2019 Alessandro Casa, José E. Chacón, Giovanna Menardi

Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data.

Clustering Density Estimation

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