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Edoardo Prezioso
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2020 – today
- 2024
- [j15]Martina Savoia, Edoardo Prezioso, Valeria Mele, Francesco Piccialli
:
Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection. Comput. Commun. 225: 156-170 (2024) - [j14]Giuseppe Aceto
Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. J. Netw. Comput. Appl. 229: 103926 (2024) - 2023
- [j13]Diletta Chiaro
FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples. Inf. Fusion 98: 101836 (2023) - [j12]Fabio Giampaolo, Federico Gatta
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting. Inf. Fusion 100: 101918 (2023) - [j11]Edoardo Prezioso
Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario. IEEE Internet Things J. 10(4): 3107-3117 (2023) - [j10]Rokas Gipiskis
The Impact of Adversarial Attacks on Interpretable Semantic Segmentation in Cyber-Physical Systems. IEEE Syst. J. 17(4): 5327-5334 (2023) - [j9]Vincenzo Schiano Di Cola
Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning. IEEE J. Biomed. Health Informatics 27(10): 4649-4659 (2023) - [j8]Kai Peng
Mobility and Privacy-Aware Offloading of AR Applications for Healthcare Cyber-Physical Systems in Edge Computing. IEEE Trans. Netw. Sci. Eng. 10(5): 2662-2673 (2023) - [c6]Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli:
Unsupervised Learning for Depth Estimation in Unstructured Environments. IEEE Big Data 2023: 5102-5109 - [c5]Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Diletta Chiaro, Salvatore Cuomo, Valerio Bellandi, Francesco Piccialli:
A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning. DASC/PiCom/CBDCom/CyberSciTech 2023: 738-746 - [c4]Edoardo Prezioso, Fabio Giampaolo, Stefano Izzo, Martina Savoia, Francesco Piccialli:
Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. ICNSC 2023: 1-6 - [c3]Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli:
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN 2023: 1-7 - 2022
- [j7]Federico Gatta
Neural networks generative models for time series. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 7920-7939 (2022) - [j6]Stefano Izzo
Classification of urban functional zones through deep learning. Neural Comput. Appl. 34(9): 6973-6990 (2022) - [j5]Edoardo Prezioso
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. IEEE J. Biomed. Health Informatics 26(10): 4869-4879 (2022) - [c2]Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro
A machine learning-based approach for mercury detection in marine waters. ICDM (Workshops) 2022: 1-10 - [c1]Diletta Chiaro
Cut the peaches: image segmentation for utility pattern mining in food processing. ICDM (Workshops) 2022: 497-506 - 2021
- [j4]Francesco Piccialli
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion. Inf. Fusion 74: 1-16 (2021) - [j3]Zhengjing Ma
A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data. Neural Comput. Appl. 33(21): 14441-14457 (2021) - [j2]Francesco Piccialli
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data. ACM Trans. Internet Techn. 21(3): 68:1-68:21 (2021) - 2020
- [j1]Francesco Piccialli
Unsupervised learning on multimedia data: a Cultural Heritage case study. Multim. Tools Appl. 79(45-46): 34429-34442 (2020)
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