| Long-term outcome of cirrhotic patients with early hepatocellular carcinoma treated with ultrasound-guided percutaneous laser ablation: a retrospective analysis CM Pacella, G Francica, FM Di Lascio, V Arienti, E Antico, B Caspani, ... J Clin Oncol 27 (16), 2615-21, 2009 | 140 | 2009 |
| Social network data and practices: the case of friendfeed F Celli, FML Di Lascio, M Magnani, B Pacelli, L Rossi Advances in Social Computing: Third International Conference on Social …, 2010 | 95 | 2010 |
| Complications of Laser Ablation for Hepatocellular Carcinoma: A Multicenter Study1 V Arienti, S Pretolani, CM Pacella, F Magnolfi, B Caspani, G Francica, ... Radiology 246 (3), 947-955, 2008 | 73 | 2008 |
| Supplier’s total cost of ownership evaluation: a data envelopment analysis approach F Visani, P Barbieri, FML Di Lascio, A Raffoni, D Vigo Omega 61, 141-154, 2016 | 57 | 2016 |
| Cultural tourism and temporary art exhibitions in Italy: A panel data analysis FML Di Lascio, S Giannerini, AE Scorcu, G Candela Statistical Methods & Applications 20, 519-542, 2011 | 49 | 2011 |
| On Rosen’s and Adler’s hypotheses in the modern and contemporary visual art market G Candela, M Castellani, P Pattitoni, FML Di Lascio Empirical Economics 51, 415-437, 2016 | 24 | 2016 |
| A copula-based algorithm for discovering patterns of dependent observations FML Di Lascio, S Giannerini Journal of Classification 29, 50-75, 2012 | 20 | 2012 |
| Exploring copulas for the imputation of complex dependent data FML Di Lascio, S Giannerini, A Reale Statistical Methods & Applications 24, 159-175, 2015 | 19 | 2015 |
| Copula–based clustering methods FML Di Lascio, F Durante, R Pappada Copulas and Dependence Models with Applications: Contributions in Honor of …, 2017 | 18 | 2017 |
| A copula-based clustering algorithm to analyse EU country diets FML Di Lascio, M Disegna Knowledge-Based Systems 132, 72-84, 2017 | 12 | 2017 |
| Clustering dependent observations with copula functions FML Di Lascio, S Giannerini Statistical Papers 60 (1), 35-51, 2019 | 11 | 2019 |
| A clustering approach and a rule of thumb for risk aggregation FML Di Lascio, D Giammusso, G Puccetti Journal of Banking & Finance 96, 236-248, 2018 | 10 | 2018 |
| Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach FML Di Lascio, A Menapace, M Righetti Statistical Methods & Applications 29 (2), 373-395, 2020 | 7 | 2020 |
| Truncation invariant copulas and a testing procedure FML Di Lascio, F Durante, P Jaworski Journal of Statistical Computation and Simulation 86 (12), 2362-2378, 2016 | 7 | 2016 |
| Analyzing the dependence structure of microarray data: a copula–based approach FML Di Lascio alma, 2008 | 7 | 2008 |
| Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables S Fuchs, FML Di Lascio, F Durante Computational Statistics & Data Analysis 159, 107201, 2021 | 6 | 2021 |
| Wilks' λ dissimilarity measures for gene clustering: An approach based on the identification of transcription modules A Roverato, FML Di Lascio Biometrics 67 (4), 1236-1248, 2011 | 6 | 2011 |
| CoImp: a copula-based imputation method FML Di Lascio, S Giannerini Eighth International Workshop on Simulation-Book of abstracts, 69-70, 2015 | 5 | 2015 |
| Imputation of complex dependent data by conditional copulas: analytic versus semiparametric approach FML Di Lascio, S Giannerini, A Reale Compstat 2014 Proceedings, 491-497, 2014 | 5* | 2014 |
| Analysing the relationship between district heating demand and weather conditions through conditional mixture copula FML Di Lascio, A Menapace, M Righetti Environmental and Ecological Statistics 28, 53-72, 2021 | 4 | 2021 |
Simone GianneriniDipartimento di Scienze Statistiche, Università di BolognaEmail verificata su unibo.it
