| Scientific machine learning through physics–informed neural networks: Where we are and what’s next S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli Journal of Scientific Computing 92 (3), 88, 2022 | 857 | 2022 |
| The role of artificial intelligence in fighting the COVID-19 pandemic F Piccialli, VS Di Cola, F Giampaolo, S Cuomo Information Systems Frontiers 23 (6), 1467-1497, 2021 | 131 | 2021 |
| Exploring unsupervised learning techniques for the Internet of Things G Casolla, S Cuomo, VS Di Cola, F Piccialli IEEE Transactions on Industrial Informatics 16 (4), 2621-2628, 2019 | 72 | 2019 |
| Decision making in IoT environment through unsupervised learning F Piccialli, G Casolla, S Cuomo, F Giampaolo, VS Di Cola IEEE Intelligent Systems 35 (1), 27-35, 2019 | 68 | 2019 |
| A machine learning approach for IoT cultural data F Piccialli, S Cuomo, VS Cola, G Casolla Journal of Ambient Intelligence and Humanized Computing, 1-12, 2019 | 56 | 2019 |
| A deep learning approach for path prediction in a location-based IoT system F Piccialli, F Giampaolo, G Casolla, VS Di Cola, K Li Pervasive and Mobile computing 66, 101210, 2020 | 19 | 2020 |
| Scientific machine learning through physics-informed neural networks: Where we are and what’s next. arXiv S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli arXiv preprint arXiv:2201.05624, 2022 | 12 | 2022 |
| Scientific machine learning through physics-informed neural networks: Where we are and what’s next. arXiv 2022 S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli arXiv preprint arXiv:2201.05624, 0 | 12 | |
| A virtual assistant in cultural heritage scenarios S Cuomo, G Colecchia, VS Di Cola, U Chirico Concurrency and Computation: Practice and Experience 33 (3), e5331, 2021 | 11 | 2021 |
| Path prediction in IoT systems through Markov Chain algorithm F Piccialli, S Cuomo, F Giampaolo, G Casolla, VS Di Cola Future Generation Computer Systems 109, 210-217, 2020 | 11 | 2020 |
| Solving groundwater flow equation using physics-informed neural networks S Cuomo, M De Rosa, F Giampaolo, S Izzo, VS Di Cola Computers & Mathematics with Applications 145, 106-123, 2023 | 9 | 2023 |
| Scientific machine learning through physics-informed neural networks: Where we are and what’s next (2022) S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli arXiv preprint arXiv:2201.05624, 0 | 7 | |
| Meshless methods for American option pricing through physics-informed neural networks F Gatta, VS Di Cola, F Giampaolo, F Piccialli, S Cuomo Engineering Analysis with Boundary Elements 151, 68-82, 2023 | 6 | 2023 |
| Insight extraction from e-Health bookings by means of Hypergraph and Machine Learning VS di Cola, D Chiaro, E Prezioso, S Izzo, F Giampaolo IEEE Journal of Biomedical and Health Informatics, 2023 | 5 | 2023 |
| Remarks on the numerical approximation of Dirac delta functions VS Di Cola, S Cuomo, G Severino Results in Applied Mathematics 12, 100200, 2021 | 4 | 2021 |
| Unsupervised learning on multimedia data: a Cultural Heritage case study F Piccialli, G Casolla, S Cuomo, F Giampaolo, E Prezioso, VS Di Cola Multimedia tools and applications 79, 34429-34442, 2020 | 4 | 2020 |
| Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques V Schiano Di Cola, DML Mango, A Bottino, L Andolfo, S Cuomo Frontiers in Applied Mathematics and Statistics 9, 1041750, 2023 | 1 | 2023 |
| A machine learning-based approach for mercury detection in marine waters F Piccialli, F Giampaolo, VS Di Cola, F Gatta, D Chiaro, E Prezioso, S Izzo, ... 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-10, 2022 | 1 | 2022 |
| A Mathematical Formulation for Estimating Age Levels in the Carolina Curriculum S Cuomo, A Olivo, P De Michele, F Piccialli, VS Di Cola, E Del Giudice International Conference on Health Informatics 2, 260-267, 2015 | 1 | 2015 |
| Multi-dimensional Dirac delta Approximations for Uncertainty Quantification in Singular Source term Flows S Cuomo, VS Di Cola, G Severino PROCEEDINGS OF SIMAI 2020+ 21, 2021 | | 2021 |
Salvatore CuomoAssociate Professor of Numerical Analysis, University of Naples Federico II在 unina.it 的电子邮件经过验证
