Vincenzina Vitale

According to our database, Vincenzina Vitale authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fuzzy K-expectiles clustering.

Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale

Stat. Comput., April, 2025

Network and attribute-based clustering of tennis players and tournaments.

Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale

Comput. Stat., April, 2025

2024

Fuzzy clustering with Barber modularity regularization.

Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale

Stat. Comput., December, 2024

Fuzzy clustering with entropy regularization for interval-valued data with an application to scientific journal citations.

Pierpaolo D'Urso, Livia De Giovanni, Leonardo Salvatore Alaimo, Raffaele Mattera, Vincenzina Vitale

Ann. Oper. Res., November, 2024

Fuzzy clustering of time series based on weighted conditional higher moments.

Roy Cerqueti, Pierpaolo D'Urso, Livia De Giovanni, Raffaele Mattera, Vincenzina Vitale

Comput. Stat., September, 2024

2023

A Bayesian network to analyse basketball players' performances: a multivariate copula-based approach.

Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale

Ann. Oper. Res., June, 2023

A robust method for clustering football players with mixed attributes.

Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale

Ann. Oper. Res., June, 2023

Complex networks for community detection of basketball players.

Alessandro Chessa, Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale, Alfonso Gebbia

Ann. Oper. Res., June, 2023

2022

A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data.

Pierpaolo D'Urso, Vincenzina Vitale

J. Classif., 2022

2021

Robust fuzzy clustering of time series based on B-splines.

Pierpaolo D'Urso, Luis Angel García-Escudero, Livia De Giovanni, Vincenzina Vitale, Agustín Mayo-Íscar

Int. J. Approx. Reason., 2021

Multivariate statistical matching using graphical modeling.

Pier Luigi Conti, Daniela Marella, Paola Vicard, Vincenzina Vitale

Int. J. Approx. Reason., 2021

2020

Modelling an energy market with Bayesian networks for non-normal data.

Vincenzina Vitale, Flaminia Musella, Paola Vicard, Valentina Guizzi

Comput. Manag. Sci., 2020