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2020 – today
- 2024
[c7]Maria Brigida Ferraro, Marco Forti, Paolo Giordani:
FKML0: A Matlab Routine for Sparse Fuzzy Clustering. FUZZ 2024: 1-8- 2023
- [j23]Donatella Vicari
, Paolo Giordani:
CPclus: Candecomp/Parafac Clustering Model for Three-Way Data. J. Classif. 40(2): 432-465 (2023) - 2022
- [j22]Paolo Giordani, Fabio Mariani:
Unintended consequences: Can the rise of the educated class explain the revival of protectionism? J. Econ. Theory 200: 105385 (2022)
2010 – 2019
- 2019
- [j21]Maria Brigida Ferraro, Paolo Giordani:
A review and proposal of (fuzzy) clustering for nonlinearly separable data. Int. J. Approx. Reason. 115: 13-31 (2019) - [j20]Maria Brigida Ferraro, Paolo Giordani, Alessio Serafini:
fclust: An R Package for Fuzzy Clustering. R J. 11(1): 198 (2019) - 2018
- [j19]Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi:
Special issue on soft methods in probability and statistics (SMPS 2016). Int. J. Approx. Reason. 96: 18-19 (2018) - [c6]Maria Brigida Ferraro, Paolo Giordani:
Robust Fuzzy Relational Clustering of Non-linear Data. SMPS 2018: 87-90 - [r2]Paolo Giordani:
Principal Component Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j18]Maria Brigida Ferraro, Paolo Giordani:
Possibilistic and fuzzy clustering methods for robust analysis of non-precise data. Int. J. Approx. Reason. 88: 23-38 (2017) - [e1]Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz:
Soft Methods for Data Science, SMPS 2016, Rome, Italy, 12-14 September, 2016. Advances in Intelligent Systems and Computing 456, Springer 2017, ISBN 978-3-319-42971-7 [contents] - 2016
- [j17]Paolo Giordani, Ana Belén Ramos-Guajardo:
A fuzzy clustering procedure for random fuzzy sets. Fuzzy Sets Syst. 305: 54-69 (2016) - 2015
- [j16]Paolo Giordani:
Lasso-constrained regression analysis for interval-valued data. Adv. Data Anal. Classif. 9(1): 5-19 (2015) - [j15]Maria Brigida Ferraro, Paolo Giordani:
A toolbox for fuzzy clustering using the R programming language. Fuzzy Sets Syst. 279: 1-16 (2015) - 2014
- [r1]Paolo Giordani:
Principal Component Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 1319-1331 - 2013
- [j14]Maria Brigida Ferraro, Paolo Giordani:
On possibilistic clustering with repulsion constraints for imprecise data. Inf. Sci. 245: 63-75 (2013) - 2012
- [j13]Paolo Giordani, Henk A. L. Kiers:
FINDCLUS: Fuzzy INdividual Differences CLUStering. J. Classif. 29(2): 170-198 (2012) - [j12]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani:
Fuzzy and possibilistic clustering for fuzzy data. Comput. Stat. Data Anal. 56(4): 915-927 (2012) - [c5]Paolo Giordani, Elisa Cipriani, Sara Fabiano, Chiara Moroni, Silvia Ravazzani, Maria Rosaria Di Renzo, Sara Mormino:
Multimedia Educational Pills (MEPs) for Corporate Training: Methodology and Cases. ICALT 2012: 427-429 - [c4]Maria Brigida Ferraro, Paolo Giordani:
A Proposal of Robust Regression for Random Fuzzy Sets. SMPS 2012: 115-123 - 2010
- [j11]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani:
A Fuzzy Clustering Model for Multivariate Spatial Time Series. J. Classif. 27(1): 54-88 (2010) - [j10]Paolo Giordani:
Three-way analysis of imprecise data. J. Multivar. Anal. 101(3): 568-582 (2010) - [j9]Paolo Giordani, Giovanni Maria Giorgi:
A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices. Stat. Methods Appl. 19(4): 587-607 (2010) - [c3]Maria Brigida Ferraro, Ana Colubi, Paolo Giordani:
A Linearity Test for a Simple Regression Model with LR Fuzzy Response. SMPS 2010: 263-271
2000 – 2009
- 2007
- [j8]Guido Cozzi, Paolo Giordani, Luca Zamparelli:
The refoundation of the symmetric equilibrium in Schumpeterian growth models. J. Econ. Theory 136(1): 788-797 (2007) - [c2]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani:
Fuzzy Clustering for Space-time Series Using Spatial Autocorrelation Information. FUZZ-IEEE 2007: 1-6 - 2006
- [j7]Pierpaolo D'Urso, Paolo Giordani:
A weighted fuzzy c. Comput. Stat. Data Anal. 50(6): 1496-1523 (2006) - [j6]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani, Adriana Santoro:
Least squares estimation of a linear regression model with LR fuzzy response. Comput. Stat. Data Anal. 51(1): 267-286 (2006) - [j5]Paolo Giordani, Henk A. L. Kiers:
A comparison of three methods for principal component analysis of fuzzy interval data. Comput. Stat. Data Anal. 51(1): 379-397 (2006) - [j4]Pierpaolo D'Urso, Paolo Giordani:
A robust fuzzy k-means clustering model for interval valued data. Comput. Stat. 21(2): 251-269 (2006) - [j3]Paolo Giordani:
Two- and three-way component models for LR fuzzy data in a possibilistic framework. Fuzzy Sets Syst. 157(19): 2648-2664 (2006) - [c1]Gil González-Rodríguez, Ana Colubi, Pierpaolo D'Urso, Paolo Giordani:
An Asymptotic Test for Symmetry of Random Variables Based on Fuzzy Tools. SMPS 2006: 87-94 - 2005
- [j2]Pierpaolo D'Urso, Paolo Giordani:
A possibilistic approach to latent component analysis for symmetric fuzzy data. Fuzzy Sets Syst. 150(2): 285-305 (2005) - 2004
- [j1]Paolo Giordani, Henk A. L. Kiers:
Principal Component Analysis of symmetric fuzzy data. Comput. Stat. Data Anal. 45(3): 519-548 (2004)
Coauthor Index
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