| 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 | 58 | 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 | 40 | 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 | 35 | 2021 |
| Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease F Piccialli, F Calabrņ, D Crisci, S Cuomo, E Prezioso, R Mandile, ... Scientific Reports 11 (1), 5683, 2021 | 27 | 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 | 17 | 2020 |
| 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 | 15 | 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 | 9 | 2022 |
| 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, 2022 | 9 | 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 | 7 | 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, 2023 | 5 | 2023 |
| 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 | 4 | 2020 |
| 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 | 3 | 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 1 | 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, 2023 | 1 | 2023 |
| 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 |
| Unsupervised Learning for Depth Estimation in Unstructured Environments P Qi, F Giampaolo, E Prezioso, F Piccialli 2023 IEEE International Conference on Big Data (BigData), 5102-5109, 2023 | | 2023 |
| A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning F Giampaolo, S Izzo, E Prezioso, D Chiaro, S Cuomo, V Bellandi, ... 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2023 | | 2023 |
Francesco PiccialliProfessor of Computer Science, University of Naples Federico II, Head of MODAL research labVerified email at unina.it
