| Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion F Piccialli, F Giampaolo, E Prezioso, D Camacho, G Acampora Information Fusion 74, 1-16, 2021 | 82 | 2021 |
| A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data Z Ma, G Mei, E Prezioso, Z Zhang, N Xu Neural Computing and Applications 33 (21), 14441-14457, 2021 | 56 | 2021 |
| 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 | 52 | 2021 |
| Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease F Piccialli, F Calabrò, D Crisci, S Cuomo, E Prezioso, R Mandile, ... Scientific Reports 11 (1), 5683, 2021 | 35 | 2021 |
| 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 | 26 | 2022 |
| FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples D Chiaro, E Prezioso, M Ianni, F Giampaolo Information Fusion 98, 101836, 2023 | 22 | 2023 |
| Predictive medicine for salivary gland tumours identification through deep learning E Prezioso, S Izzo, F Giampaolo, F Piccialli, GDA Orabona, R Cuocolo, ... IEEE Journal of Biomedical and Health Informatics 26 (10), 4869-4879, 2021 | 22 | 2021 |
| A deep learning approach for facility patient attendance prediction based on medical booking data F Piccialli, S Cuomo, D Crisci, E Prezioso, G Mei Scientific Reports 10 (1), 14623, 2020 | 18 | 2020 |
| Mobility and privacy-aware offloading of AR applications for healthcare cyber-physical systems in edge computing K Peng, P Liu, M Bilal, X Xu, E Prezioso IEEE Transactions on Network Science and Engineering 10 (5), 2662-2673, 2022 | 16 | 2022 |
| Classification of urban functional zones through deep learning S Izzo, E Prezioso, F Giampaolo, V Mele, V Di Somma, G Mei Neural Computing and Applications 34 (9), 6973-6990, 2022 | 12 | 2022 |
| Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario E Prezioso, F Giampaolo, C Mazzocca, A Bujari, V Mele, F Amato IEEE Internet of Things Journal 10 (4), 3107-3117, 2021 | 12 | 2021 |
| Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks F Giampaolo, S Izzo, E Prezioso, F Piccialli 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | 8 | 2023 |
| The impact of adversarial attacks on interpretable semantic segmentation in cyber–physical systems R Gipiškis, D Chiaro, M Preziosi, E Prezioso, F Piccialli IEEE Systems Journal 17 (4), 5327-5334, 2023 | 8 | 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 27 (10), 4649-4659, 2023 | 8 | 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 | 7 | 2023 |
| Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems G Aceto, F Giampaolo, C Guida, S Izzo, A Pescapè, F Piccialli, E Prezioso Journal of Network and Computer Applications, 103926, 2024 | 5 | 2024 |
| 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 | 5 | 2020 |
| Synthetic and Privacy-Preserving Traffic Trace Generation using Generative AI Models for Training Network Intrusion Detection Systems A Giuseppe, F Giampaolo, C Guida, S Izzo, A Pescape, F Piccialli, ... Available at SSRN 4669010, 2024 | 4 | 2024 |
| A data-driven artificial neural network model for the prediction of ground motion from induced seismicity: the case of the Geysers geothermal field E Prezioso, N Sharma, F Piccialli, V Convertito Frontiers in Earth Science, 2193, 2022 | 4 | 2022 |
| Integrating Object Detection and Advanced Analytics for Smart City Crowd Management E Prezioso, F Giampaolo, S Izzo, M Savoia, F Piccialli 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2023 | 2 | 2023 |
Francesco PiccialliProfessor of Computer Science, University of Naples Federico II, Head of MODAL research labVerified email at unina.it