| 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 | 1524 | 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 | 373 | 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 | 155 | 2021 |
| 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 | 136 | 2021 |
| 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 | 107 | 2020 |
| 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 | 94 | 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 | 87 | 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 | 81 | 2016 |
| 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 | 80 | 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 | 74 | 2017 |
| 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, 2024 | 60 | 2024 |
| 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 | 58 | 2019 |
| 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 | 58 | 2018 |
| 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 (1), 523862, 2014 | 55 | 2014 |
| EEG signal analysis for epileptic seizures detection by applying data mining techniques G Zazzaro, S Cuomo, A Martone, RV Montaquila, G Toraldo, L Pavone Internet of Things 14, 100048, 2021 | 53 | 2021 |
| Comparison of estimating missing values in iot time series data using different interpolation algorithms Z Ding, G Mei, S Cuomo, Y Li, N Xu International Journal of Parallel Programming 48, 534-548, 2020 | 53 | 2020 |
| Predictive analytics for smart parking: A deep learning approach in forecasting of iot data F Piccialli, F Giampaolo, E Prezioso, D Crisci, S Cuomo ACM Transactions on Internet Technology (TOIT) 21 (3), 1-21, 2021 | 51 | 2021 |
| 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 | 51 | 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 | 51 | 2013 |
Francesco PiccialliProfessor of Computer Science, University of Naples Federico II, Head of MODAL research labΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα unina.it
