| A “pay-how-you-drive” car insurance approach through cluster analysis MF Carfora, F Martinelli, F Mercaldo, V Nardone, A Orlando, A Santone, ... Soft Computing 23 (9), 2863-2875, 2019 | 85 | 2019 |
| Interpolation on spherical geodesic grids: A comparative study MF Carfora Journal of Computational and Applied Mathematics 210 (1), 99-105, 2007 | 49 | 2007 |
| Statistical classification for assessing PRISMA hyperspectral potential for agricultural land use U Amato, A Antoniadis, MF Carfora, P Colandrea, V Cuomo, M Franzese, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 41 | 2013 |
| Turing patterns in a reaction–diffusion system modeling hunting cooperation F Capone, MF Carfora, R De Luca, I Torcicollo Mathematics and Computers in Simulation 165, 172-180, 2019 | 39 | 2019 |
| Descent algorithms on oblique manifold for source-adaptive ICA contrast SE Selvan, U Amato, KA Gallivan, C Qi, MF Carfora, M Larobina, B Alfano IEEE transactions on neural networks and learning systems 23 (12), 1930-1947, 2012 | 39 | 2012 |
| Cyber risk management: an actuarial point of view MF Carfora, F Martinelli, F Mercaldo, A Orlando Journal of Operational Risk 14 (4), 1-27, 2019 | 38 | 2019 |
| Objective algorithms for the aerosol problem U Amato, MF Carfora, V Cuomo, C Serio Applied optics 34 (24), 5442-5452, 1995 | 35 | 1995 |
| A Comparison between Standard and Functional Clustering Methodologies: Application to Agricultural Fields for Yield Pattern Assessment S Pascucci, MF Carfora, A Palombo, S Pignatti, R Casa, M Pepe, ... Remote Sensing 10 (4), 585, 2018 | 34 | 2018 |
| A leaky integrate-and-fire model with adaptation for the generation of a spike train A Buonocore, L Caputo, E Pirozzi, MF Carfora Mathematical Biosciences and Engineering 13 (3), 2016 | 34 | 2016 |
| Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons. A Buonocore, L Caputo, E Pirozzi, MF Carfora Mathematical biosciences and engineering: MBE 11 (2), 189-201, 2014 | 26 | 2014 |
| Cloud detection of MODIS multispectral images L Murino, U Amato, MF Carfora, A Antoniadis, B Huang, WP Menzel, ... Journal of Atmospheric and Oceanic Technology 31 (2), 347-365, 2014 | 26 | 2014 |
| A quantitative comparison of stochastic mortality models on Italian population data MF Carfora, L Cutillo, A Orlando Computational Statistics & Data Analysis 112, 198-214, 2017 | 23 | 2017 |
| PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy S Pignatti, A Amodeo, MF Carfora, R Casa, L Mona, A Palombo, ... Remote Sensing 14, 1985, 2022 | 21 | 2022 |
| On the dynamics of an intraguild predator-prey model F Capone, MF Carfora, R De Luca, I Torcicollo Mathematics and Computers in Simulation 149, 17-31, 2018 | 21 | 2018 |
| A discrete kinetic approximation for the incompressible Navier-Stokes equations MF Carfora, R Natalini ESAIM: Mathematical Modelling and Numerical Analysis-Modélisation …, 2008 | 21 | 2008 |
| Numerical methods for retrieving aerosol size distributions from optical measurements of solar radiation MF Carfora, F Esposito, C Serio Journal of aerosol science 29 (10), 1225-1236, 1998 | 20 | 1998 |
| A Macroscopic Mathematical Model For Cell Migration Assays Using A Real-Time Cell Analysis E Di Costanzo, V Ingangi, C Angelini, MF Carfora, MV Carriero, R Natalini PLOS One 11 (9), 2016 | 19 | 2016 |
| Cross-Diffusion-Driven Instability in a Predator-Prey System with Fear and Group Defense MF Carfora, I Torcicollo Mathematics 8 (8), 1244, 2020 | 18 | 2020 |
| Aircraft mass budgeting to measure CO2 emissions of Rome, Italy B Gioli, MF Carfora, V Magliulo, MC Metallo, AA Poli, P Toscano, ... Environmental monitoring and assessment 186 (4), 2053-2066, 2013 | 17 | 2013 |
| Identification of epidemiological models: the case study of Yemen cholera outbreak MF Carfora, I Torcicollo Applicable Analysis 101 (10), 3744-3754, 2022 | 16 | 2022 |
Umberto AmatoResearcher, Institute for Applied Sciences and Intelligent Systems, Italian National Researchcnr.it의 이메일 확인됨
