Maria Brigida Ferraro
Maria Brigida Ferraro
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TitoloCitata daAnno
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
A toolbox for fuzzy clustering using the R programming language
MB Ferraro, P Giordani
Fuzzy Sets and Systems 279, 1-16, 2015
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
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
On possibilistic clustering with repulsion constraints for imprecise data
MB Ferraro, P Giordani
Information Sciences 245, 63-75, 2013
A multiple linear regression model for imprecise information
MB Ferraro, P Giordani
Metrika 75 (8), 1049-1068, 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
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
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
Package ‘fclust’
P Giordani, MB Ferraro, MP Giordani
Package ‘fclust’: fuzzy clustering
P Giordani, MB Ferraro
CRAN R studio, 2015
A new fuzzy clustering algorithm with entropy regularization
MB Ferraro, P Giordani
CLADAG, 2013
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
A novel feature selection method for classification using a fuzzy criterion
MB Ferraro, A Irpino, R Verde, MR Guarracino
International Conference on Learning and Intelligent Optimization, 455-467, 2013
A proposal of robust regression for random fuzzy sets
MB Ferraro, P Giordani
Synergies of Soft Computing and Statistics for Intelligent Data Analysis …, 2013
fclust: an R package for fuzzy clustering
MB Ferraro, P Giordani, A Serafini
The R Journal 11 (1), 198-210, 2019
On the generalization performance of a regression model with imprecise elements
MB Ferraro
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017
Rigidity and flexibility in protein-protein interaction networks: a case study on neuromuscular disorders
A Sharma, MB Ferraro, F Maiorano, FDV Blanco, MR Guarracino
arXiv preprint arXiv:1402.2304, 2014
From separating to proximal plane classifiers: A review
MB Ferraro, MR Guarracino
Clusters, orders, and trees: Methods and applications, 167-180, 2014
Bootstrap confidence intervals for the parameters of a linear regression model with fuzzy random variables
MB Ferraro, R Coppi, G González-Rodríguez
Towards Advanced Data Analysis by Combining Soft Computing and Statistics, 33-42, 2013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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