Maria Brigida Ferraro
Maria Brigida Ferraro
Bestätigte E-Mail-Adresse bei uniroma1.it
Titel
Zitiert von
Zitiert von
Jahr
A linear regression model for imprecise response
MB Ferraro, R Coppi, GG Rodríguez, A Colubi
International Journal of Approximate Reasoning 51 (7), 759-770, 2010
922010
A toolbox for fuzzy clustering using the R programming language
MB Ferraro, P Giordani
Fuzzy Sets and Systems 279, 1-16, 2015
742015
Cold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster
CM Williams, M Watanabe, MR Guarracino, MB Ferraro, AS Edison, ...
Evolution 68 (12), 3505-3523, 2014
512014
A determination coefficient for a linear regression model with imprecise response
MB Ferraro, A Colubi, G González‐Rodríguez, R Coppi
Environmetrics 22 (4), 516-529, 2011
352011
On possibilistic clustering with repulsion constraints for imprecise data
MB Ferraro, P Giordani
Information Sciences 245, 63-75, 2013
252013
A multiple linear regression model for imprecise information
MB Ferraro, P Giordani
Metrika 75 (8), 1049-1068, 2012
22*2012
Possibilistic and fuzzy clustering methods for robust analysis of non-precise data
MB Ferraro, P Giordani
International Journal of Approximate Reasoning 88, 23-38, 2017
192017
fclust: An R Package for Fuzzy Clustering.
MB Ferraro, P Giordani, A Serafini
R J. 11 (1), 198, 2019
142019
Package ‘fclust’: fuzzy clustering
P Giordani, MB Ferraro
CRAN R studio, 2015
92015
Package ‘fclust’
P Giordani, MB Ferraro, MP Giordani
82019
Arithmetic and distance-based approach to the statistical analysis of imprecisely valued data
A Blanco-Fernández, MR Casals, A Colubi, R Coppi, N Corral, SR de Sáa, ...
Towards Advanced Data Analysis by Combining Soft Computing and Statistics, 1-18, 2013
72013
datasetsICR: Datasets from the Book “An Introduction to Clustering with R”, R package version 1.0 (2020)
P Giordani, MB Ferraro, F Martella
7
A new fuzzy clustering algorithm with entropy regularization
MB Ferraro, P Giordani
Book of abstracts of cladag 2013—9th meeting of the classification and data …, 2013
62013
A Linearity Test for a Simple Regression Model with LR Fuzzy Response
MB Ferraro, A Colubi, P Giordani
Combining Soft Computing and Statistical Methods in Data Analysis, 263-271, 2010
62010
Hierarchical clustering
P Giordani, MB Ferraro, F Martella
An Introduction to Clustering with R, 9-73, 2020
52020
On the generalization performance of a regression model with imprecise elements
MB Ferraro
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017
42017
Prediction of rare single-nucleotide causative mutations for muscular diseases in pooled next-generation sequencing experiments
MB Ferraro, M Savarese, G Di Fruscio, V Nigro, MR Guarracino
Journal of Computational Biology 21 (9), 665-675, 2014
42014
A review and proposal of (fuzzy) clustering for nonlinearly separable data
MB Ferraro, P Giordani
International Journal of Approximate Reasoning 115, 13-31, 2019
32019
A proposal of robust regression for random fuzzy sets
MB Ferraro, P Giordani
Synergies of Soft Computing and Statistics for Intelligent Data Analysis …, 2013
32013
A linear regression model for LR fuzzy random variables: properties and inferential procedures
MB Ferraro
32009
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