Rosanna Verde

Comput. Stat., February, 2024

2023

Supervised classification of curves via a combined use of functional data analysis and tree-based methods.

[BibT_eX]

[DOI]

Fabrizio Maturo

Comput. Stat., March, 2023

2022

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

[BibT_eX]

[DOI]

J. Classif., 2022

2021

Co-clustering algorithms for distributional data with automated variable weighting.

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

The Rating of Journals and the Research Outcomes in Statistical Sciences in Italian Universities.

[BibT_eX]

[DOI]

Maria Maddalena Barbieri

Francesca Bassi

Proceedings of the Studies in Theoretical and Applied Statistics, 2021

2020

Histogram-based clustering of multiple data streams.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Automatic Classification of Road Traffic with Fiber Based Sensors in Smart Cities Applications.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

Automatic detection of the support points in relational clustering.

[BibT_eX]

[DOI]

Parisa Rastin

Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Histogram-Based Model Using Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2017

Spatial variability clustering for spatially dependent functional data.

[BibT_eX]

[DOI]

Elvira Romano

Stat. Comput., 2017

Fuzzy clustering of distributional data with automatic weighting of variable components.

[BibT_eX]

[DOI]

Inf. Sci., 2017

2016

Dimension Reduction Techniques for Distributional Symbolic Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

2015

Basic statistics for distributional symbolic variables: a new metric-based approach.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2015

Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2015

Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Order statistics for histogram data and a box plot visualization tool.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

2013

A Metric Based Approach for the Least Square Regression of Multivariate Modal Symbolic Data.

[BibT_eX]

[DOI]

Proceedings of the Statistical Models for Data Analysis, 2013

Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Classification and Data Mining, 2013

Summarizing and Detecting Structural Drifts from Multiple Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Classification and Data Mining, 2013

Data Stream Summarization by Histograms Clustering.

[BibT_eX]

[DOI]

Lidia Rivoli

Proceedings of the Statistical Models for Data Analysis, 2013

Clustering Data Streams by On-Line Proximity Updating.

[BibT_eX]

[DOI]

Yves Lechevallier

Proceedings of the Classification and Data Mining, 2013

Fuzzy regularized generalized eigenvalue classifier with a novel membership function.

[BibT_eX]

[DOI]

Raimundas Jasinevicius

Inf. Sci., 2013

A Novel Feature Selection Method for Classification Using a Fuzzy Criterion.

[BibT_eX]

[DOI]

Maria Brigida Ferraro

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Clustering and Change Detection in Multiple Streaming Time Series.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2013

2011

Multiple Linear Regression for Histogram Data using Least Squares of Quantile Functions: a Two-components model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, 2011

Data Stream Summarization by On-Line Histograms Clustering.

[BibT_eX]

[DOI]

Lidia Rivoli

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Ordinary Least Squares for Histogram Data Based on Wasserstein Distance.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Computational Statistics, 2010

Multiclass Generalized Eigenvalue Proximal Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the CISIS 2010, 2010

2008

Dynamic clustering of interval data using a Wasserstein-based distance.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2008

2007

Knowledge extraction by dynamical clustering of sea waves streaming data.

[BibT_eX]

[DOI]

Elvira Romano

Monde des Util. Anal. Données, 2007

A New Interval Data Distance Based on the Wasserstein Metric.

[BibT_eX]

[DOI]

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Symbolic Clustering of Large Datasets.

[BibT_eX]

[DOI]

Yves Lechevallier

Proceedings of the Data Science and Classification, 2006

A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data.

[BibT_eX]

[DOI]

Proceedings of the Data Science and Classification, 2006

New clustering methods for interval data.

[BibT_eX]

[DOI]

Marie Chavent

Yves Lechevallier

Comput. Stat., 2006

2000

Subsystem identification within a complex system.

[BibT_eX]

Josep M. Mirats Tur