| 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 | 471 | 2022 |
| A survey on deep learning in medicine: Why, how and when? F Piccialli, V Di Somma, F Giampaolo, S Cuomo, G Fortino Information Fusion 66, 111-137, 2021 | 252 | 2021 |
| 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 | 102 | 2021 |
| IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario S Cuomo, P De Michele, F Piccialli, A Galletti, JE Jung Expert Systems with Applications 79, 101-111, 2017 | 92 | 2017 |
| Surface reconstruction from scattered point via RBF interpolation on GPU S Cuomo, A Galletti, G Giunta, A Starace 2013 federated conference on computer science and information systems, 433-440, 2013 | 82 | 2013 |
| A revised scheme for real time ecg signal denoising based on recursive filtering S Cuomo, G De Pietro, R Farina, A Galletti, G Sannino Biomedical Signal Processing and Control 27, 134-144, 2016 | 77 | 2016 |
| Julia language in machine learning: Algorithms, applications, and open issues K Gao, G Mei, F Piccialli, S Cuomo, J Tu, Z Huo Computer Science Review 37, 100254, 2020 | 70 | 2020 |
| The Internet of Things C Car | 66* | 2018 |
| 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 | 63 | 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 | 62 | 2019 |
| Reconstruction of implicit curves and surfaces via RBF interpolation S Cuomo, A Galletti, G Giunta, L Marcellino Applied Numerical Mathematics 116, 157–171, 2017 | 59 | 2017 |
| Implications of deep learning for the automation of design patterns organization S Hussain, J Keung, AA Khan, A Ahmad, S Cuomo, F Piccialli, G Jeon, ... Journal of Parallel and Distributed Computing 117, 256-266, 2018 | 55 | 2018 |
| An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors Z Ma, G Mei, S Cuomo Accident Analysis & Prevention 160, 106322, 2021 | 54 | 2021 |
| 3D data denoising via nonlocal means filter by using parallel GPU strategies S Cuomo, P De Michele, F Piccialli Computational and mathematical methods in medicine 2014, 2014 | 51 | 2014 |
| 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 | 50 | 2019 |
| A GPU-accelerated parallel K-means algorithm S Cuomo, V De Angelis, G Farina, L Marcellino, G Toraldo Computers & Electrical Engineering 75, 262-274, 2019 | 49 | 2019 |
| A cultural heritage case study of visitor experiences shared on a social network S Cuomo, P De Michele, A Galletti, F Piccialli 2015 10th International Conference on P2P, Parallel, Grid, Cloud and …, 2015 | 49 | 2015 |
| A regularized MRI image reconstruction based on hessian penalty term on CPU/GPU systems F Piccialli, S Cuomo, P De Michele Procedia Computer Science 18, 2643-2646, 2013 | 48 | 2013 |
| 3D Non-Local Means denoising via multi-GPU G Palma, M Comerci, B Alfano, S Cuomo, P De Michele, F Piccialli, ... 2013 Federated conference on computer science and information systems, 495-498, 2013 | 46 | 2013 |
| A numerical approach to nonlinear two-point boundary value problems for ODEs S Cuomo, A Marasco Computers & Mathematics with Applications 55 (11), 2476-2489, 2008 | 44 | 2008 |
Francesco PiccialliProfessor of Computer Science and Machine Learning, University of Naples Federico IIVerified email at unina.it
