Antonio Irpino

Orcid: 0000-0001-9293-7180

According to our database1, Antonio Irpino authored at least 25 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components.
J. Classif., 2022

Network Vulnerability Analysis in Wasserstein Spaces.
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021
Co-clustering algorithms for distributional data with automated variable weighting.
Inf. Sci., 2021

On the use of Wasserstein metric in topological clustering of distributional data.
CoRR, 2021

The Rating of Journals and the Research Outcomes in Statistical Sciences in Italian Universities.
Proceedings of the Studies in Theoretical and Applied Statistics, 2021

2017
Fuzzy clustering of distributional data with automatic weighting of variable components.
Inf. Sci., 2017

2016
Dimension Reduction Techniques for Distributional Symbolic Data.
IEEE Trans. Cybern., 2016

2015
Basic statistics for distributional symbolic variables: a new metric-based approach.
Adv. Data Anal. Classif., 2015

Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance.
Adv. Data Anal. Classif., 2015

Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Order statistics for histogram data and a box plot visualization tool.
Proceedings of the Symbolic Data Analysis and Visualization: Special Issue in honor of Monique Noirhomme-Fraiture, 2015

2014
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances.
Expert Syst. Appl., 2014

2013
A Metric Based Approach for the Least Square Regression of Multivariate Modal Symbolic Data.
Proceedings of the Statistical Models for Data Analysis, 2013

Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition.
Proceedings of the Classification and Data Mining, 2013

Fuzzy regularized generalized eigenvalue classifier with a novel membership function.
Inf. Sci., 2013

A Novel Feature Selection Method for Classification Using a Fuzzy Criterion.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

2011
Multiple Linear Regression for Histogram Data using Least Squares of Quantile Functions: a Two-components model.
Proceedings of the Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, 2011

2010
Ordinary Least Squares for Histogram Data Based on Wasserstein Distance.
Proceedings of the 19th International Conference on Computational Statistics, 2010

Multiclass Generalized Eigenvalue Proximal Support Vector Machines.
Proceedings of the CISIS 2010, 2010

2008
Dynamic clustering of interval data using a Wasserstein-based distance.
Pattern Recognit. Lett., 2008

2007
A New Interval Data Distance Based on the Wasserstein Metric.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Optimal histogram representation of large data sets: Fisher vs piecewise linear approximation.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006
A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data.
Proceedings of the Data Science and Classification, 2006

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

Clustering reduced interval data using Hausdorff distance.
Comput. Stat., 2006


  Loading...