| Neural networks generative models for time series F Gatta, F Giampaolo, E Prezioso, G Mei, S Cuomo, F Piccialli Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 9 | 2022 |
| Predictive maintenance for offshore oil wells by means of deep learning features extraction F Gatta, F Giampaolo, D Chiaro, F Piccialli Expert Systems 41 (2), e13128, 2024 | 5 | 2024 |
| 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 | 4 | 2023 |
| ENCODE-Ensemble neural combination for optimal dimensionality encoding in time-series forecasting F Giampaolo, F Gatta, E Prezioso, S Cuomo, M Zhou, G Fortino, F Piccialli Information Fusion 100, 101918, 2023 | 3 | 2023 |
| Statistical arbitrage in the stock markets by the means of multiple time horizons clustering F Gatta, C Iorio, D Chiaro, F Giampaolo, S Cuomo Neural Computing and Applications 35 (16), 11713-11731, 2023 | 3 | 2023 |
| An unsupervised learning framework for marketneutral portfolio S Cuomo, F Gatta, F Giampaolo, C Iorio, F Piccialli Expert Systems with Applications 192, 116308, 2022 | 3 | 2022 |
| 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 |
| Computer and Information Sciences F Gatta, F Giampaolo, E Prezioso, G Mei, S Cuomo, F Piccialli | | 2022 |
| A Machine Learning Approach in Stock Risk Management S Cuomo, F Gatta, F Giampaolo, C Iorio, F Piccialli CLADAG 2021 Book Of Abstracts and Short Papers, 308-311, 2021 | | 2021 |
