| Using generative adversarial networks for improving classification effectiveness in credit card fraud detection U Fiore, A De Santis, F Perla, P Zanetti, F Palmieri Information Sciences 479, 448-455, 2019 | 500 | 2019 |
| Time-series forecasting of mortality rates using deep learning F Perla, R Richman, S Scognamiglio, MV Wüthrich Scandinavian Actuarial Journal 2021 (7), 572-598, 2021 | 94 | 2021 |
| A deep learning integrated Lee–Carter model A Nigri, S Levantesi, M Marino, S Scognamiglio, F Perla Risks 7 (1), 33, 2019 | 86 | 2019 |
| Do digital and communication technologies improve smart ports? A fuzzy DEA approach R Castellano, U Fiore, G Musella, F Perla, G Punzo, M Risitano, ... IEEE Transactions on Industrial Informatics 15 (10), 5674-5681, 2019 | 26 | 2019 |
| A parallel block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers MR Guarracino, F Perla, P Zanetti Zielona Góra: Uniwersytet Zielonogórski, 2006 | 25 | 2006 |
| -Regularization for multi-period portfolio selection S Corsaro, V De Simone, Z Marino, F Perla Annals of Operations Research 294 (1), 75-86, 2020 | 17 | 2020 |
| An investigation of machine learning approaches in the solvency ii valuation framework G Castellani, U Fiore, Z Marino, L Passalacqua, F Perla, S Scognamiglio, ... Available at SSRN 3303296, 2018 | 16 | 2018 |
| Relevant applications of Monte Carlo simulation in Solvency II G Casarano, G Castellani, L Passalacqua, F Perla, P Zanetti Soft Computing 21, 1181-1192, 2017 | 15 | 2017 |
| Traffic matrix estimation with software-defined NFV: Challenges and opportunities U Fiore, P Zanetti, F Palmieri, F Perla Journal of computational science 22, 162-170, 2017 | 11 | 2017 |
| On parallel asset-liability management in life insurance: a forward risk-neutral approach S Corsaro, PL De Angelis, Z Marino, F Perla, P Zanetti Parallel Computing 36 (7), 390-402, 2010 | 11 | 2010 |
| A deep learning integrated Lee-Carter model. Risks, 7 (1), 33 A Nigri, S Levantesi, M Marino, S Scognamiglio, F Perla | 9 | 2019 |
| On the measure of contagion in fuzzy financial networks G De Marco, C Donnini, F Gioia, F Perla Applied Soft Computing 67, 584-595, 2018 | 9 | 2018 |
| Locally-coherent multi-population mortality modelling via neural networks F Perla, S Scognamiglio Decisions in Economics and Finance 46 (1), 157-176, 2023 | 7 | 2023 |
| Machine learning techniques in nested stochastic simulations for life insurance G Castellani, U Fiore, Z Marino, L Passalacqua, F Perla, S Scognamiglio, ... Applied Stochastic Models in Business and Industry 37 (2), 159-181, 2021 | 7 | 2021 |
| On high-performance software development for the numerical simulation of life insurance policies S Corsaro, PL De Angelis, Z Marino, F Perla Numerical methods for finance, 87-112, 2007 | 7 | 2007 |
| A parallel block Lanczos algorithm for distributed memory architectures MR Guarracino, F Perla INTERNATIONAL JOURNAL OF PARALLEL, EMERGENT AND DISTRIBUTED SYSTEMS 4 (3-4 …, 1994 | 7 | 1994 |
| Deep learning forecasting for supporting terminal operators in port business development M Ferretti, U Fiore, F Perla, M Risitano, S Scognamiglio Future Internet 14 (8), 221, 2022 | 5 | 2022 |
| Tuning a deep learning network for solvency ii: Preliminary results U Fiore, Z Marino, L Passalacqua, F Perla, S Scognamiglio, P Zanetti Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF …, 2018 | 5 | 2018 |
| Numerical solution of the regularized portfolio selection problem S Corsaro, VD Simone, Z Marino, F Perla Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF …, 2018 | 4 | 2018 |
| A note on optimality conditions for control problems with parameters L Grosset, B Viscolani Applied Mathematical Sciences 12 (16), 773-782, 2018 | 4 | 2018 |
Paolo ZanettiUniversità degli Studi di Napoli ParthenopeVerified email at uniparthenope.it
