Publications

Preprints

D. Fonnegra, M.F. Carfora, I. De Feis, Cloud detection in hyperspectral images: Application to PRISMA images

Journal articles 

M.F. Carfora, I. Torcicollo (2025), Stability analysis of a master-slave Cournot triopoly model: the effects of cross-diffusion, Axioms 14(7), 540 (open access)

M.F. Carfora, F. Iovanna, I. Torcicollo (2025), Turing patterns in an intraguild predator-prey model, Mathematics and Computers in Simulation 232, 192-210 (open access)

M.F. Carfora, A. Orlando (2024), Application of the Gordon Loeb model to security investment metrics: a proposal, Data Science in Finance and Economics 4(4), 601-614 (open access)

S. Mirzaei, S.  Pascucci, M.F.  Carfora, R. Casa,  F. Rossi, F. Santini, A. Palombo, G. Laneve, S. Pignatti (2024), Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test CasesLearning Approaches: Italy and Iran Test Cases. Remote Sensing 16 (13), 2431. https://doi.org/10.3390/rs16132431(open access)

M.F. Carfora, A. Orlando (2023), A Preliminary Investigation of a Single Shock Impact on Italian Mortality Rates Using STMF Data: A Case Study of COVID-19. Data 8, 107. https://doi.org/10.3390/data8060107 (open access)

M.F. Carfora, A. Orlando (2022), Some Remarks on Malicious and Negligent Data Breaches Distribution Estimates, Computation 10(12), 208; https://doi.org/10.3390/computation10120208 (open access)

M.F. Carfora, I. Torcicollo (2022), Traveling Band Solutions in a System Modeling Hunting Cooperation. Mathematics 10, 2303. https://doi.org/10.3390/math10132303 (open access)

S. Pignatti, A. Amodeo, M.F. Carfora, R. Casa, L. Mona, A. Palombo, S. Pascucci, F. Santini, G. Laneve (2022),  PRISMA L1 and L2 imagery quality assessment within the PRISCAV project: The Pignola test site in Southern Italy,   Remote Sensing 14(9), 1985; https://doi.org/10.3390/rs14091985 (open access)

F. Capone, M.F. Carfora, R. de Luca, I. Torcicollo  (2022), Nonlinear stability and numerical simulations for a reaction-diffusion system modelling Allee effect on predators, International Journal of Nonlinear Sciences and Numerical Simulation (online Aug 5, 2021) DOI 10.1515/ijnsns-2020-0015  (open access)

M.F. Carfora, I. Torcicollo (2021), A Fractional-in-Time Prey–Predator Model with Hunting Cooperation: Qualitative Analysis, Stability and Numerical Approximations, Axioms 10(2), 78 (open access)

F. Capone, M.F. Carfora, R. de Luca, I. Torcicollo  (2020), Analysis of a model for waterborne diseases with Allee effect on bacteria, Nonlinear Analysis: Modelling and Control 25(6) (open access)

M.F. Carfora, I. Torcicollo  (2020), Cross-diffusion-driven instability in a predator-prey system with fear and group defense,  Mathematics 8(8), 1244 (open access)

A. Antoniadis, U. Amato, M.F. Carfora  (2020) , Cloud detection: an assessment study from the ESA Round Robin exercise for PROBA-V , Sensors 20(7), 2090 (open access)

M.F. Carfora, I. Torcicollo (2020), Identification of epidemiological models: the case study of Yemen cholera outbreak, Applicable Analysis 101(10), 3744–3754. DOI:10.1080/00036811.2020.1738402 (download preprint version) 

M.F. Carfora, F. Martinelli, F. Mercaldo, A. Orlando (2019), Cyber Risk Management: an actuarial point of view, Journal of Operational Risk 14(4), 1–27 DOI: 10.21314/JOP.2019.231 (download preprint version)

G. Ascione, M.F. Carfora, E. Pirozzi  (2019), A stochastic model for interacting neurons in the olfactory bulb, BioSystems 185, 104030 DOI:10.1016/j.biosystems.2019.104030 (download preprint version)

F. Capone, M.F. Carfora, R. De Luca, I. Torcicollo (2019), Turing patterns in a reaction-diffusion system modeling hunting cooperation, Mathematics and Computers in Simulation 165, 172-180 DOI: 10.1016/j.matcom.2019.03.010 (download preprint version)

M. Abundo, G. Ascione, M.F. Carfora, E. Pirozzi (2019), A fractional PDE for first passage time of time-changed Brownian motion and its numerical solution,  Applied Numerical Mathematics 155, 103-118 DOI: 10.1016/j.apnum.2019.07.020 (download preprint version)

M.F. Carfora, F. Martinelli, F. Mercaldo, V. Nardone, A. Orlando, A. Santone, G. Vaglini (2019), A “pay-how-you-drive” car insurance approach through cluster analysis, Soft Computing 23, 2863–2875. DOI: 10.1007/s00500-018-3274-y (download, courtesy of Springer Nature)

S. Pascucci, M.F. Carfora, A. Palombo, S. Pignatti, R. Casa, M. Pepe, F. Castaldi (2018), A comparison between standard and functional clustering methodologies: application to agricultural fields for yield pattern assessment   Remote Sensing 10(4), 585. DOI:10.3390/rs10040585 (open access)  

F. Capone, M.F. Carfora, R. De Luca, I. Torcicollo (2018), On the dynamics of an intraguild predator-prey model  Mathematics and Computers in Simulation 149, 17-31. DOI: 10.1016/j.matcom.2018.01.004 (download preprint version)

M.F. Carfora, E. Pirozzi (2017), Linked Gauss-Diffusion processes for modeling a finite-size neuronal network. BioSystems 161, 15-23. DOI: 10.1016/j.biosystems.2017.07.009 (download preprint version)

M.F. Carfora, L. Cutillo, A. Orlando  (2017), A quantitative comparison of stochastic mortality models on Italian population data . Computational Statistics and Data Analysis 112, 198-214. DOI: 10.1016/j.csda.2017.03.012 (download preprint version)

E. Di Costanzo, V. Ingangi, C. Angelini, M.F. Carfora, M.V. Carriero, R. Natalini (2016), A Macroscopic Mathematical Model for Cell Migration Assays Using a Real-Time Cell Analysis. PLOSone 11(9): e0162553.DOI: 10.1371/journal.pone.0162553 (open access)

A. Buonocore, L. Caputo, E. Pirozzi, M.F. Carfora (2016), A leaky integrate-and-fire model with adaptation for the generation of a spike train . Mathematical biosciences and engineering 13(3), 483-493. DOI: 10.3934/mbe.2016002 (download preprint version)

L. Murino, D. Granata, M.F. Carfora, S.E. Selvan, B. Alfano, U. Amato, M. Larobina (2014), Evaluation of supervised methods for the classification of major tissues and subcortical structures in multispectral brain magnetic resonance images. Computerized Medical Imaging and Graphics (download preprint version)

A. Buonocore, L. Caputo, E. Pirozzi, M.F. Carfora (2014), Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons. Mathematical biosciences and engineering (download preprint version)

 A. Buonocore, L. Caputo, E. Pirozzi, M.F. Carfora (2014), A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model. Mathematical biosciences and engineering (download preprint version)

 B. Gioli, M.F. Carfora, V. Magliulo, M.C. Metallo, A.A. Poli, P. Toscano, F. Miglietta (2014), Aircraft mass budgeting to measure CO2 emissions of Rome, Italy. Environmental monitoring and assessment (download preprint version)

 L. Murino, U. Amato, M.F. Carfora, A. Antoniadis, B. Huang, W.P. Menzel, C. Serio (2014), Cloud detection of MODIS multispectral images. Journal of Atmospheric and Oceanic Technology (download preprint version)

 A. Buonocore, L. Caputo, E. Pirozzi, M.F. Carfora (2013), On the Dynamics of a Couple of Mutually Interacting Neurons. Computer Aided Systems Theory-EUROCAST 2013, LNCS, Springer (download preprint version)

 U. Amato, A. Antoniadis, M.F. Carfora, P. Colandrea, V. Cuomo, M. Franzese,  S. Pignatti, C. Serio (2013), Statistical classification for assessing PRISMA hyperspectral potential for agricultural land use,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (download preprint version)

E. Selvan, U. Amato, K. Gallivan, C. Qi, F. Carfora, M. Larobina, B. Alfano (2012), Descent Algorithms on Oblique Manifold for Source Adaptive ICA Contrast,  IEEE Transactions on Neural Networks and Learning Systems (download preprint version) 

 S. Alfieri, U. Amato, M.F. Carfora, M. Esposito, V. Magliulo (2010), Quantifying trace gas emissions from composite landscapes: a deterministic approach, Atmospheric Environment (download preprint version) 

 P. Barone, M.F. Carfora, R. March (2009), Segmentation, Classification and Denoising of a Time Series Field by a Variational Method  Journal of Mathematical Imaging and Vision (download preprint version) 

M.F. Carfora, R. Natalini (2008), A discrete kinetic approximation for the incompressible Navier Stokes equations, ESAIM: Mathematical Modelling and Numerical Analysis (download preprint version) 

M.F. Carfora (2007), Semi-Lagrangian advection on a spherical geodesic grid, International Journal for Numerical Methods in Fluids (download preprint version) 

M.F. Carfora (2007), Interpolation on spherical geodesic grids: a comparative study, Journal of Computational and Applied Mathematics  (download preprint version)   

N. Diano, V. Grano, S. Rossi, U. Bencivenga, M. Portaccio, U. Amato, M.F. Carfora, M. Lepore, F.S. Gaeta, D.G. Mita (2004),  Hollow-Fiber Enzyme Reactor Operating under Nonisothermal Conditions,  Biotechnology Progress (download preprint version). 

M.F. Carfora (2001), Effectiveness of the operator splitting for solving the atmospherical shallow water equations, International Journal of Numerical  Methods for Heat and Fluid Flow (download preprint version)

M.F. Carfora, F. Esposito, C. Serio (1998), Numerical Methods for Retrieving Aerosol Size Distributions from Optical Measurements of Solar Radiation, Journal of Aerosol Science (download preprint version)

Others (not ISI Journals, Conference proceedings, book chapters)

L. Caputo, M.F. Carfora, E. Pirozzi (2025), Comparing some simulation strategies for first passage times of time-changed Brownian motion, In: Quesada-Arencibia, A., Affenzeller, M., Moreno-Díaz, R. (eds) Computer Aided Systems Theory – EUROCAST 2024. EUROCAST 2024. Lecture Notes in Computer Science, vol 15174. Springer, Cham, pp. 228-242.  doi: 10.1007/978-3-031-83885-9_21

M.F. Carfora (2025), Stochastic Processes in Encyclopedia of Bioinformatics and Computational Biology (Second Edition), Elsevier, ISBN 9780323955034, doi: 10.1016/B978-0-323-95502-7.00037-3 (download preprint version)

S. Pignatti, M.F. Carfora, R. Coluzzi, L. D’Amato, I. De Feis, D. Fonnegra Mora, G. Laneve, V. Imbrenda, M. Lanfredi, S. Mirzaei, A. Palombo, S. Pascucci, F. Rossi, F. Santini, T. Simoniello, R. Vanguri (2024), Detection of Critical Areas Prone to Land degradation by PRISMA: the Metaponto Coastal Area in South Italy Test Case, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 1063-1066, doi: 10.1109/IGARSS53475.2024.10641499.

S. Pignatti, M.F. Carfora, R. Coluzzi, I. De Feis, V. Imbrenda, G. Laneve, M. Lanfredi, S. Mirzaei, A. Palombo,S. Pascucci, F. Rossi, F. Santini, T. Simoniello, R. Vanguri (2024), PRISMA prototype algorithms for estimating environmental damage and vulnerability to land degradation: the SAPP4VU Project.13th EARSeL Workshop on Imaging Spectroscopy 2024, Valencia (Spain)     DOI: 10.13140/RG.2.2.28193.21604

S. Mirzaei, S. Pignatti, M.F. Carfora, F. Rossi, S. Pascucci, F. Santini, A. Palombo (2024), Early- season crop mapping using PRISMA image and machine and deep learning techniques. 13th EARSeL Workshop on Imaging Spectroscopy 2024, Valencia (Spain)     DOI: 10.13140/RG.2.2.22321.19042

M.F. Carfora and A. Orlando (2024), Cyber insurance and risk assessment: some insights on the insurer perspective. In:   Corazza, Gannon, Legros, Pizzi,Touzé (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024. Springer, Cham doi:10.1007/978-3-031-64273-9_14

L. Caputo, M.F. Carfora, E. Pirozzi (2024), On simulation strategies for first passage times of fractional time-changed diffusions, EUROCAST 2024 - February 25 - March 1, Las Palmas de Gran Canaria. Alexis Quesada-Arencibia, José Carlos Rodríguez, Gabriele Salvatore de Blasio, Carmelo Rubén García, Roberto Moreno-Díaz (Eds.) ISBN 978-84-09-58721-6

N. Acito, M. F. Carfora, M. Diani, G. Corsini, S. Pascucci and S. Pignatti (2023), Noise Coefficients Retrieval in Prisma Hyperspectral Data, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 1493-1496, doi: 10.1109/IGARSS52108.2023.10281539.

M.F. Carfora (2023). A Review of Stochastic Models of Neuronal Dynamics: From a Single Neuron to Networks. In: Mondaini, R.P. (eds) Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics. BIOMAT 2022. Springer, Cham. https://doi.org/10.1007/978-3-031-33050-6_8 (download preprint version)

M.F. Carfora, A. Orlando (2022), A First Investigation of a Single Shock Impact on Italian Mortality Rates through Short-term Mortality Fluctuations Data.  ISBIS CONFERENCE 2022 on “Statistics and Data Science in Business and Industry”. 20-21 June 2022, Naples; (ISBIS CONFERENCE 2022 PROGRAMME AND ABSTRACTS edited by Balzanella et al., ISBN: 979-12-210-1389-4)

Carfora, R. Casa, N. Mzid, S. Pascucci, S. Pignatti (2022), PRISMA signal dependent noise characterization on a rural area: the test case of Pignola (12th EARSEL workshop, 2022)

M. F. Carfora, R. Casa, G. Laneve, N. Mzid, S. Pascucci and S. Pignatti (2022), Prisma Noise Coefficients Estimation, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 7531-7534, doi: 10.1109/IGARSS46834.2022.9883584

Carfora, M.F., Orlando, A. (2022). Cyber Risk: Estimates for Malicious and Negligent Breaches Distributions. In: Corazza, M., Perna, C., Pizzi, C., Sibillo, M. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022. Springer, Cham. https://doi.org/10.1007/978-3-030-99638-3_23

U. Amato, M.F. Carfora, G. Masiello, C. Serio (2019), Assessment of cumulative discriminant analysis for cloud detection in the ESA PROBA-V Round Robin exercise. Remote Sensing of Clouds and the Atmosphere XXIV, SPIE Remote Sensing 2019, vol 11152, 10.1117/12.2534292 (download preprint version)

M.F. Carfora and A. Orlando (2019), Quantile based risk measures in cyber security. International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) 2019 DOI:10.1109/CyberSA.2019.8899431 (download preprint version)

M.F. Carfora (2017), Stochastic Processes, Encyclopedia of Bioinformatics and Computational Biology (Elsevier, 2017) (download preprint version)

M.F. Carfora and E. Pirozzi (2015), Stochastic Modeling of the Firing Activity of Coupled Neurons Periodically Driven. Dynamical Systems and Differential Equations, AIMS Proceedings 2015 (download preprint version)

M.F. Carfora, L. Cutillo and A. Orlando (2014),  Modeling the European Central Bank official rate: a stochastic approach, Journal of Applied Quantitative Methods (2014) (download pdf)

M. Bernaschi, M.F. Carfora, A. Orlando, S. Razzano and D. Vergni (2009),  Macroeconomic and Financial Scenarios for Cost/Risk Analysis in Public Debt Management, ERCIM News 78 (2009) (download pdf)

U. Amato, M.F. Carfora, P. Colandrea (2008), WAGRIT: AWeb-based Application for Agricultural and Environmental Monitoring , ERCIM News 73, (2008) (download pdf).

U. Amato, M.F. Carfora, S.M. Alfieri, M. Esposito, V. Magliulo (2007), Metodologia di bilancio di massa per la stima degli scambi gassosi superficiali a scala territoriale (in "Clima e cambiamenti climatici: le attività di ricerca del CNR" a cura di Bruno Carli, Giuseppe Cavarretta, Michele Colacino, Sandro Fuzzi,  625-628, ISBN: 978-88-8080-075-0) (2007) (download pdf).