| 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 | 92 | 2010 |
| A toolbox for fuzzy clustering using the R programming language MB Ferraro, P Giordani Fuzzy Sets and Systems 279, 1-16, 2015 | 74 | 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 | 51 | 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 | 35 | 2011 |
| On possibilistic clustering with repulsion constraints for imprecise data MB Ferraro, P Giordani Information Sciences 245, 63-75, 2013 | 25 | 2013 |
| 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 | 19 | 2017 |
| fclust: An R Package for Fuzzy Clustering. MB Ferraro, P Giordani, A Serafini R J. 11 (1), 198, 2019 | 14 | 2019 |
| Package ‘fclust’: fuzzy clustering P Giordani, MB Ferraro CRAN R studio, 2015 | 9 | 2015 |
| Package ‘fclust’ P Giordani, MB Ferraro, MP Giordani | 8 | 2019 |
| 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 | 7 | 2013 |
| 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 | 6 | 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 | 6 | 2010 |
| Hierarchical clustering P Giordani, MB Ferraro, F Martella An Introduction to Clustering with R, 9-73, 2020 | 5 | 2020 |
| On the generalization performance of a regression model with imprecise elements MB Ferraro International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017 | 4 | 2017 |
| 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 | 4 | 2014 |
| A review and proposal of (fuzzy) clustering for nonlinearly separable data MB Ferraro, P Giordani International Journal of Approximate Reasoning 115, 13-31, 2019 | 3 | 2019 |
| A proposal of robust regression for random fuzzy sets MB Ferraro, P Giordani Synergies of Soft Computing and Statistics for Intelligent Data Analysis …, 2013 | 3 | 2013 |
| A linear regression model for LR fuzzy random variables: properties and inferential procedures MB Ferraro | 3 | 2009 |
Paolo GiordaniSapienza University of RomeBestätigte E-Mail-Adresse bei uniroma1.it
