| Deep Learning for HDD health assessment: An application based on LSTM A De Santo, A Galli, M Gravina, V Moscato, G Sperlì IEEE Transactions on Computers 71 (1), 69-80, 2020 | 74 | 2020 |
| A comprehensive Benchmark for fake news detection A Galli, E Masciari, V Moscato, G Sperlí Journal of Intelligent Information Systems 59 (1), 237-261, 2022 | 46 | 2022 |
| DCE-MRI breast lesions segmentation with a 3TP U-Net deep convolutional neural network G Piantadosi, S Marrone, A Galli, M Sansone, C Sansone 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | 33 | 2019 |
| A deep learning approach for semi-supervised community detection in Online Social Networks A De Santo, A Galli, V Moscato, G Sperlì Knowledge-Based Systems 229, 107345, 2021 | 25 | 2021 |
| Evaluating time series encoding techniques for predictive maintenance A De Santo, A Ferraro, A Galli, V Moscato, G Sperlì Expert Systems with Applications 210, 118435, 2022 | 18 | 2022 |
| Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings A Galli, MS Piscitelli, V Moscato, A Capozzoli Expert Systems with Applications 206, 117649, 2022 | 18 | 2022 |
| Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance A Ferraro, A Galli, V Moscato, G Sperlì Artificial Intelligence Review 56 (7), 7279-7314, 2023 | 14 | 2023 |
| Reliability of explainable artificial intelligence in adversarial perturbation scenarios A Galli, S Marrone, V Moscato, C Sansone International Conference on Pattern Recognition, 243-256, 2021 | 12 | 2021 |
| LSTM-based failure prediction for railway rolling stock equipment L De Simone, E Caputo, M Cinque, A Galli, V Moscato, S Russo, ... Expert Systems with Applications 222, 119767, 2023 | 11 | 2023 |
| A deep attention based approach for predictive maintenance applications in IoT scenarios R De Luca, A Ferraro, A Galli, M Gallo, V Moscato, G Sperli Journal of Manufacturing Technology Management 34 (4), 535-556, 2023 | 10 | 2023 |
| An anomalous sound detection methodology for predictive maintenance E Di Fiore, A Ferraro, A Galli, V Moscato, G Sperlì Expert Systems with Applications 209, 118324, 2022 | 9 | 2022 |
| A novel approach for predictive maintenance combining GAF encoding strategies and deep networks A Ferraro, A Galli, V Moscato, G Sperlí 2020 IEEE 6th International Conference on Dependability in Sensor, Cloud and …, 2020 | 9 | 2020 |
| Data-driven network orchestrator for 5G satellite-terrestrial integrated networks: the ANChOR project F Patrone, G Bacci, A Galli, P Giardina, G Landi, M Luglio, M Marchese, ... 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 8 | 2021 |
| Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion C Esposito, A Galli, V Moscato, G Sperlí Information Fusion 77, 1-18, 2022 | 7 | 2022 |
| A pipelined tracer-aware approach for lesion segmentation in breast DCE-MRI A Galli, S Marrone, G Piantadosi, M Sansone, C Sansone Journal of imaging 7 (12), 276, 2021 | 7 | 2021 |
| An explainable artificial intelligence methodology for hard disk fault prediction A Galli, V Moscato, G Sperlí, AD Santo Database and Expert Systems Applications: 31st International Conference …, 2020 | 7 | 2020 |
| Evaluating impacts of motion correction on deep learning approaches for breast DCE-MRI segmentation and classification A Galli, M Gravina, S Marrone, G Piantadosi, M Sansone, C Sansone Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 7 | 2019 |
| AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures. A Galli, PG Giardina, M Guta, L Lossi, A Mancina, V Moscato, F Patrone, ... AI6G@ WCCI, 2022 | 4 | 2022 |
| A deep learning pipeline for network anomaly detection based on autoencoders A Ferraro, A Galli, V La Gatta, M Postiglione 2022 IEEE international conference on metrology for extended reality …, 2022 | 2 | 2022 |
| Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks A Galli, V Moscato, SP Romano, G Sperlí IEEE Transactions on Network and Service Management, 2023 | 1 | 2023 |
Vincenzo MoscatoFull Professor at University of Naples "Federico IIEmail verificata su unina.it
