| Clustering of financial time series P D’Urso, C Cappelli, D Di Lallo, R Massari Physica A: Statistical Mechanics and its Applications 392 (9), 2114-2129, 2013 | 88 | 2013 |
| A statistical approach to growing a reliable honest tree C Cappelli, F Mola, R Siciliano Computational statistics & data analysis 38 (3), 285-299, 2002 | 66 | 2002 |
| Exponential distance-based fuzzy clustering for interval-valued data P D’Urso, R Massari, L De Giovanni, C Cappelli Fuzzy Optimization and Decision Making 16, 51-70, 2017 | 49 | 2017 |
| Detecting multiple mean breaks at unknown points in official time series C Cappelli, RN Penny, WS Rea, M Reale Mathematics and Computers in Simulation 78 (2-3), 351-356, 2008 | 40* | 2008 |
| Identification of changes in mean with regression trees: an application to market research WS Rea, M Reale, C Cappelli, JA Brown Econometric Reviews 29 (5-6), 754-777, 2010 | 31 | 2010 |
| Autoregressive metric-based trimmed fuzzy clustering with an application to PM10 time series P D'Urso, R Massari, C Cappelli, L De Giovanni Chemometrics and Intelligent Laboratory Systems 161, 15-26, 2017 | 29 | 2017 |
| Regime change analysis of interval-valued time series with an application to PM10 C Cappelli, P D'Urso, F Di Iorio Chemometrics and Intelligent Laboratory Systems 146, 337-346, 2015 | 23 | 2015 |
| An alternative pruning method based on the impurity-complexity measure C Cappelli, F Mola, R Siciliano COMPSTAT: Proceedings in Computational Statistics 13th Symposium held in …, 1998 | 20 | 1998 |
| Multiple breaks detection in financial interval-valued time series C Cappelli, R Cerqueti, P D’Urso, F Di Iorio Expert Systems with Applications 164, 113775, 2021 | 19 | 2021 |
| Change point analysis of imprecise time series C Cappelli, P D’Urso, F Di Iorio Fuzzy Sets and Systems 225, 23-38, 2013 | 18 | 2013 |
| CUBREMOT: a tool for building model-based trees for ordinal responses C Cappelli, R Simone, F Di Iorio Expert systems with applications 124, 39-49, 2019 | 15 | 2019 |
| Popolazioni straniere e immigrate: definizioni, categorie e caratteristiche C Bonifazi, G Gallo, S Strozza, D Zincato Studi Emigrazione 45 (171), 519-548, 2008 | 14 | 2008 |
| Missing data incremental imputation through tree based methods C Conversano, C Cappelli Compstat: Proceedings in Computational Statistics, 455-460, 2002 | 12 | 2002 |
| Long memory and structural break analysis of environmental time series C Cappelli, D Angela Available at: old. sis-statistica. org/files/pdf/atti/Spontanee% 202006_203 …, 2006 | 10 | 2006 |
| Detecting changes in mean levels with atheoretical regression trees. C Cappelli, M Reale University of Canterbury. Dept. of Mathematics and Statistics, 2005 | 10 | 2005 |
| La percezione della sinonimia: un’analisi statistica mediante modelli per ranghi C Cappelli, A D’Elia Le poids des mots-Actes de JADT2004, 229-240, 2004 | 9 | 2004 |
| Modelling marginal ranking distributions: the uncertainty tree R Simone, C Cappelli, F Di Iorio Pattern Recognition Letters 125, 278-288, 2019 | 8 | 2019 |
| High incidence of MTHFR, CBS, and MTRR polymorphisms in vitiligo patients. Preliminary report in a retrospective study. G Benincasa, C CAPPELLI, M OTTAIANO, G SPIGNA, E MARINIS, ... European Review for Medical & Pharmacological Sciences 23 (2), 2019 | 8 | 2019 |
| 9 Survival Trees C Cappelli, H Zhang Statistical Methods for Biostatistics and Related Fields, 167-180, 2006 | 8 | 2006 |
| Atheoretical regression trees for classifying risky financial institutions C Cappelli, F Di Iorio, A Maddaloni, P D’Urso Annals of Operations Research 299, 1357-1377, 2021 | 7 | 2021 |
