Edoardo Prezioso

Orcid: 0000-0002-0401-8422

According to our database¹, Edoardo Prezioso authored at least 21 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2024

Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection.

[BibT_eX]

[DOI]

Comput. Commun., 2024

2023

The Impact of Adversarial Attacks on Interpretable Semantic Segmentation in Cyber-Physical Systems.

[BibT_eX]

[DOI]

IEEE Syst. J., December, 2023

ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning.

[BibT_eX]

[DOI]

Vincenzo Schiano Di Cola

IEEE J. Biomed. Health Informatics, October, 2023

Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

Mobility and Privacy-Aware Offloading of AR Applications for Healthcare Cyber-Physical Systems in Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2023

FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples.

[BibT_eX]

[DOI]

Inf. Fusion, 2023

Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl Conf on Dependable, 2023

Unsupervised Learning for Depth Estimation in Unstructured Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.

[BibT_eX]

[DOI]

Giovanni Dell'Aversana Orabona

IEEE J. Biomed. Health Informatics, 2022

Classification of urban functional zones through deep learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Neural networks generative models for time series.

[BibT_eX]

[DOI]

J. King Saud Univ. Comput. Inf. Sci., 2022

A machine learning-based approach for mercury detection in marine waters.

[BibT_eX]

[DOI]

Francesco Piccialli

Fabio Giampaolo

Vincenzo Schiano Di Cola

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Cut the peaches: image segmentation for utility pattern mining in food processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2021

A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

2020

Unsupervised learning on multimedia data: a Cultural Heritage case study.

[BibT_eX]

[DOI]

Vincenzo Schiano Di Cola

Multim. Tools Appl., 2020

Edoardo Prezioso

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