Clustering reduced interval data using Hausdorff distance. - Antonio Irpino; Valentino Tontodonato (Comput. Stat., 2006)

"Spaghetti" PCA analysis: An extension of principal components analysis to time dependent interval data. - Antonio Irpino (Pattern Recognit. Lett., 2006)

A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data. - Antonio Irpino; Rosanna Verde (Data Science and Classification, 2006)

Optimal histogram representation of large data sets: Fisher vs piecewise linear approximation. - Antonio Irpino; Elvira Romano (EGC, 2007)

A New Interval Data Distance Based on the Wasserstein Metric. - Rosanna Verde; Antonio Irpino (GfKl, 2007)

Dynamic clustering of interval data using a Wasserstein-based distance. - Antonio Irpino; Rosanna Verde (Pattern Recognit. Lett., 2008)

Multiclass Generalized Eigenvalue Proximal Support Vector Machines. - Mario Rosario Guarracino; Antonio Irpino; Rosanna Verde (CISIS, 2010)

Ordinary Least Squares for Histogram Data Based on Wasserstein Distance. - Rosanna Verde; Antonio Irpino (COMPSTAT, 2010)

Multiple Linear Regression for Histogram Data using Least Squares of Quantile Functions: a Two-components model. - Rosanna Verde; Antonio Irpino (HDSDA, 2011)

A Novel Feature Selection Method for Classification Using a Fuzzy Criterion. - Maria Brigida Ferraro; Antonio Irpino; Rosanna Verde; Mario Rosario Guarracino (LION, 2013)

Fuzzy regularized generalized eigenvalue classifier with a novel membership function. - Mario Rosario Guarracino; Antonio Irpino; Raimundas Jasinevicius; Rosanna Verde (Inf. Sci., 2013)

Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition. - Antonio Irpino; Mario Rosario Guarracino; Rosanna Verde (Classification and Data Mining, 2013)

A Metric Based Approach for the Least Square Regression of Multivariate Modal Symbolic Data. - Antonio Irpino; Rosanna Verde (Statistical Models for Data Analysis, 2013)

Dynamic clustering of histogram data based on adaptive squared Wasserstein distances. - Antonio Irpino; Rosanna Verde; Francisco de A. T. de Carvalho (Expert Syst. Appl., 2014)

Order statistics for histogram data and a box plot visualization tool. - Rosanna Verde; Antonio Balzanella; Antonio Irpino (Symbolic Data Analysis and Visualization, 2015)

Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance. - Francisco de A. T. de Carvalho; Antonio Irpino; Rosanna Verde (FUZZ-IEEE, 2015)

Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance. - Antonio Irpino; Rosanna Verde (Adv. Data Anal. Classif., 2015)

Basic statistics for distributional symbolic variables: a new metric-based approach. - Antonio Irpino; Rosanna Verde (Adv. Data Anal. Classif., 2015)

Dimension Reduction Techniques for Distributional Symbolic Data. - Rosanna Verde; Antonio Irpino; Antonio Balzanella (IEEE Trans. Cybern., 2016)

Fuzzy clustering of distributional data with automatic weighting of variable components. - Antonio Irpino; Rosanna Verde; Francisco de A. T. de Carvalho (Inf. Sci., 2017)

The Rating of Journals and the Research Outcomes in Statistical Sciences in Italian Universities. - Maria Maddalena Barbieri; Francesca Bassi; Antonio Irpino; Rosanna Verde (SIS, 2021)

On the use of Wasserstein metric in topological clustering of distributional data. - Guénaël Cabanes; Younès Bennani; Rosanna Verde; Antonio Irpino (CoRR, 2021)

Co-clustering algorithms for distributional data with automated variable weighting. - Francisco de A. T. de Carvalho; Antonio Balzanella; Antonio Irpino; Rosanna Verde (Inf. Sci., 2021)

Network Vulnerability Analysis in Wasserstein Spaces. - Andrea Ponti; Antonio Irpino; Antonio Candelieri; Anna Bosio; Ilaria Giordani; Francesco Archetti (LION, 2022)

Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components. - Francisco de A. T. de Carvalho; Antonio Irpino; Rosanna Verde; Antonio Balzanella (J. Classif., 2022)

An Application of the Network Analysis to the Study of the Psychometric Properties of the Short Mood and Feeling Questionnaire. - Luisa Almerico; Anna Pezzella; Simone Pisano; Gennaro Catone; Marzia Maresca; Antonio Irpino; Vincenzo Paolo Senese (WIRN, 2023)