[HTML][HTML] Comparing boosting and bagging for decision trees of rankings

A Plaia, S Buscemi, J Fürnkranz, EL Mencía - Journal of Classification, 2022 - Springer
Decision tree learning is among the most popular and most traditional families of machine
learning algorithms. While these techniques excel in being quite intuitive and interpretable, …

Hierarchy of factors impacting grape berry mass: separation of direct and indirect effects on major berry metabolites

…, A Plaia, G Hilbert, S Buscemi… - … Journal of Enology …, 2018 - Am Soc Enol Viticulture
Final berry mass, a major quality factor in wine production, is determined by the integrated
effect of biotic and abiotic factors that can also influence berry composition. Under field …

Model selection in linear mixed-effect models

S Buscemi, A Plaia - AStA Advances in Statistical Analysis, 2020 - Springer
Linear mixed-effects models are a class of models widely used for analyzing different types
of data: longitudinal, clustered and panel data. Many fields, in which a statistical …

[HTML][HTML] Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings

A Plaia, S Buscemi, M Sciandra - Advances in Data Analysis and …, 2021 - Springer
Preference data are a particular type of ranking data where some subjects (voters, judges,...)
express their preferences over a set of alternatives (items). In most real life cases, some …

A new position weight correlation coefficient for consensus ranking process without ties

A Plaia, S Buscemi, M Sciandra - Stat, 2019 - Wiley Online Library
Preference data represent a particular type of ranking data where a group of people give their
preferences over a set of alternatives. The traditional metrics between rankings do not take …

[HTML][HTML] Consensus measures for preference rankings with ties: an approach based on position weighted Kemeny distance

A Plaia, M Sciandra, S Buscemi - Advances in Statistical …, 2018 - books.google.com
Preference data are a particular type of ranking data where some subjects (voters, judges,...)
give their preferences over a set of alternatives (items). It happens, in most of the real cases…

[PDF][PDF] Ensemble methods for ranking data with and without position weights

S Buscemi, A Consiglio, A Plaia, G Lovison - 2020 - iris.unipa.it
Ranking and classification are basic cognitive ways that people generally use for grading
everything they experience. Grouping and ordering a set of elements (movies, politicians, sport …

Position Weighted Decision Trees for Ranking Data

A Plaia, S Buscemi, M Sciandra - Convegno della Societŕ Italiana di …, 2018 - Springer
Preference data represent a particular type of ranking data where a group of people gives
their preferences over a set of alternatives. Within this framework, distance-based decision …

[PDF][PDF] Item weighted Kemeny distance for preference data

M Sciandra, S Buscemi, A Plaia - Book of Short Papers, 2019 - boa.unimib.it
Preference data represent a particular type of ranking data where a group of people gives
their preferences over a set of alternatives. The traditional metrics between rankings don’t take …

: Am. j. enol. vitic.

R Triolo, JP ROBY, A PLAIA, G Hilbert, S BUSCEMI… - 2018 - agris.fao.org
Final berry mass, a major quality factor in wine production, is determined by the integrated
effect of biotic and abiotic factors that can also influence berry composition. Under field …