[HTML][HTML] Comparing boosting and bagging for decision trees of rankings
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, …
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
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 …
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 …
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 …
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 …
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…
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 …
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 …
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 …
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 …
effect of biotic and abiotic factors that can also influence berry composition. Under field …