M. Ferraro

发表

A determination coefficient for a linear regression model with imprecise response

R. Coppi, Gil González-Rodríguez, A. Colubi, 2011 .

A linear regression model for LR fuzzy random variables: Properties and Inferential Procedures

M. Ferraro, 2009 .

Document clustering

M. Ferraro, Irene Cozzolino, 2022, WIREs Computational Statistics.

A multiple linear regression model for LR fuzzy random variables

P. Giordani, M. Ferraro, 2010 .

On Some Concepts Related to Star-Shaped Sets

Gil González-Rodríguez, A. Colubi, M. Ferraro, 2018 .

A prediction error for a linear regression model with fuzzy random elements

M. Ferraro, 2012 .

Big Data and Clustering

Francesca Martella, Paolo Giordani, Maria Ferraro, 2020 .

Non-Hierarchical Clustering

Francesca Martella, Paolo Giordani, Maria Ferraro, 2020 .

Possibilistic and fuzzy clustering methods for robust analysis of non-precise data

Paolo Giordani, Maria Brigida Ferraro, P. Giordani, 2017, Int. J. Approx. Reason..

From Separating to Proximal Plane Classifiers: A Review

Mario Rosario Guarracino, Maria Ferraro, M. Ferraro, 2014 .

Model-Based Clustering

Francesca Martella, Paolo Giordani, Maria Ferraro, 2020, Behaviormetrics: Quantitative Approaches to Human Behavior.

Arithmetic and distance-based approach to the statistical analysis of imprecisely valued data

Pierpaolo D'Urso, Ana Colubi, Paolo Giordani, 2013, SOCO 2013.

A review and proposal of (fuzzy) clustering for nonlinearly separable data

Paolo Giordani, Maria Ferraro, P. Giordani, 2019, Int. J. Approx. Reason..

IGV-plus: A java software for the analysis and visualization of next-generation sequencing data

Mario Rosario Guarracino, Maria Ferraro, Antonio Agliata, 2014 .

Soft clustering

M. Ferraro, P. Giordani, 2019, WIREs Computational Statistics.

Introduction to Clustering

Francesca Martella, Paolo Giordani, Maria Ferraro, 2020, Behaviormetrics: Quantitative Approaches to Human Behavior.

A class of two-mode clustering algorithms in a fuzzy setting

Maurizio Vichi, Maria Ferraro, Paolo Giordani, 2020 .

A multiple linear regression model for imprecise information

Maria Ferraro, Paolo Giordani, P. Giordani, 2012 .

Rigidity and flexibility in protein-protein interaction networks: a case study on neuromuscular disorders

Mario Rosario Guarracino, Maria Brigida Ferraro, Francesco Maiorano, 2014, 1402.2304.

Issues in Gaussian Model-Based Clustering

Francesca Martella, Paolo Giordani, Maria Ferraro, 2020 .

A toolbox for fuzzy clustering using the R programming language

Paolo Giordani, Maria Brigida Ferraro, P. Giordani, 2015, Fuzzy Sets Syst..

An Introduction to Clustering with R

Francesca Martella, Paolo Giordani, Maria Ferraro, 2020 .

Fuzzy k-Means: history and applications

M. Ferraro, 2021, Econometrics and Statistics.

A linear regression model for imprecise response

Ana Colubi, Maria Brigida Ferraro, Gil González-Rodríguez, 2010, Int. J. Approx. Reason..

Prediction of Rare Single-Nucleotide Causative Mutations for Muscular Diseases in Pooled Next-Generation Sequencing Experiments

Mario Rosario Guarracino, Maria Brigida Ferraro, Marco Savarese, 2014, J. Comput. Biol..

Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases

Mario Rosario Guarracino, Maria Brigida Ferraro, M. Ferraro, 2013, CIBB.

On possibilistic clustering with repulsion constraints for imprecise data

Paolo Giordani, Maria Brigida Ferraro, P. Giordani, 2013, Inf. Sci..

A Comparison of Model-Based and Fuzzy Clustering Methods

Luca Scrucca, Alessio Serafini, Maria Ferraro, 2018 .

fclust: An R Package for Fuzzy Clustering

Alessio Serafini, Paolo Giordani, Maria Ferraro, 2019, R J..

Consensus and fuzzy partition of dendrograms from a three-way dissimilarity array

M. Vichi, M. Ferraro, Ilaria Bombelli, 2023, Inf. Sci..

Hierarchical Clustering

M. Ferraro, Paolo Giordani, Francesca Martella, 2020, Clustering.

A Novel Feature Selection Method for Classification Using a Fuzzy Criterion

Mario Rosario Guarracino, Maria Brigida Ferraro, Antonio Irpino, 2013, LION.