Francesco Piccialli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
12
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICDCS | SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning. | Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli |
| 2024 | ISCC | FLOWS: Federated Learning Optimization With Sinkhorn. | Diletta Chiaro, Fabio Giampaolo, Sara Amitrano, Francesco Piccialli |
| 2024 | PDP | On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing. | Daniela Annunziata, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Martina Savoia, Francesco Piccialli |
| 2024 | PDP | Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact. | Daniela Annunziata, Marzia Canzaniello, Martina Savoia, Salvatore Cuomo, Francesco Piccialli |
| 2024 | PPAM | Solving Soil Microbiota Growth Problem by PINNs. | Salvatore Cuomo, Donato Cerciello, Francesco Piccialli, Vincenzo Vocca |
| 2023 | DASC | A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning. | Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Diletta Chiaro, Salvatore Cuomo, Valerio Bellandi, Francesco Piccialli |
| 2023 | DASC | Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment. | Stefano Izzo, Marzia Canzaniello, Martina Savoia, Fabio Giampaolo, Francesco Piccialli |
| 2023 | IJCNN | Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. | Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli |
| 2023 | ICWS | Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture. | Fabio Giampaolo, Stefano Izzo, Stefano Siccardi, Antongiacomo Polimeno, Valerio Bellandi, Francesco Piccialli |
| 2023 | PDP | Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. | Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli |
| 2023 | PDP | Modelling the COVID-19 infection rate through a Physics-Informed learning approach. | Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo |
| 2022 | DASC | The BIOCHIP project: A Deep Learning approach for multiwell segmentation. | Martina Savoia, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli |
| 2022 | ICDM | Cut the peaches: image segmentation for utility pattern mining in food processing. | Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli |
| 2022 | ICDM | A machine learning-based approach for mercury detection in marine waters. | Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo |
| 2022 | PPAM | A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging. | Salvatore Cuomo, Francesco Fato, Lorenzo Ugga, Gaia Spadarella, Renato Cuocolo, Fabio Giampaolo, Francesco Piccialli |
| 2021 | CHASE | Explainable Deep Learning Models on the Diagnosis of Pneumonia. | Yuting Yang, Gang Mei, Francesco Piccialli |
| 2017 | EUSPN | Remarks on a computational estimator for the barrier option pricing in an IoT scenario. | Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli |
| 2017 | EUSPN | Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling. | Jae-Hong Park, O-Joun Lee, Joo-Man Han, Eon-Ji Lee, Jason J. Jung, Luca Carratore, Francesco Piccialli |
| 2016 | EUSPN | A Service Oriented Framework for Analysing Social Network Activities. | Angelo Chianese, Francesco Piccialli |
| 2015 | EUSPN | The TrUST Project: Improving the Fruition of Historical Centres through Smart Objects. | Angelo Chianese, Francesco Piccialli, Giuseppe Riccio |
| 2013 | EUSPN | The Talking Museum Project. | Flora Amato, Angelo Chianese, Antonino Mazzeo, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli |
| 2013 | FedCSIS | 3D Non-Local Means denoising via multi-GPU. | Giuseppe Palma, Francesco Piccialli, Pasquale De Michele, Salvatore Cuomo, Marco Comerci, Pasquale Borrelli, Bruno Alfano |
| 2013 | ICCS | A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems. | Francesco Piccialli, Salvatore Cuomo, Pasquale De Michele |