| A bacterial biosensor based on gold nanoparticles functionalized by a hydrophobin-chimera and combined with machine learning for user-friendly detection A Pennacchio, F Giampaolo, V Cafaro, P Cicatiello, B Della Ventura, ... Sensors and Actuators B: Chemical 410, 135645, 2024 | 4 | 2024 |
| The BIOCHIP project: A Deep Learning approach for multiwell segmentation M Savoia, D Chiaro, F Giampaolo, S Cuomo, F Piccialli 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022 | 3 | 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 |
| On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing D Annunziata, M Canzaniello, D Chiaro, S Izzo, M Savoia, F Piccialli 2024 32nd Euromicro International Conference on Parallel, Distributed and …, 2024 | 1 | 2024 |
| Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection M Savoia, E Prezioso, V Mele, F Piccialli Computer Communications 225, 156-170, 2024 | | 2024 |
| Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact D Annunziata, M Canzaniello, M Savoia, S Cuomo, F Piccialli 2024 32nd Euromicro International Conference on Parallel, Distributed and …, 2024 | | 2024 |
| Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment S Izzo, M Canzaniello, M Savoia, F Giampaolo, F Piccialli 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2023 | | 2023 |
| A Robust and Rapid Grid-Based Machine Learning Approach for Inside and Off-Network Earthquakes Classification in Dynamically Changing Seismic Networks D Annunziata, M Savoia, C Martino, F Giampaolo, V Convertito, F Piccialli, ... | | |
