Stefano Izzo

According to our database, Stefano Izzo authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy.

Hajira Batool, Adeel Anjum, Abid Khan, Stefano Izzo, Carlo Mazzocca, Gwanggil Jeon

Inf. Sci., January, 2024

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

Giuseppe Aceto, Fabio Giampaolo, Ciro Guida, Stefano Izzo, Antonio Pescapè, Francesco Piccialli, Edoardo Prezioso

J. Netw. Comput. Appl., 2024

GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency.

Francesco Piccialli, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Pian Qi

Inf. Fusion, 2024

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

Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning.

Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

2023

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

Vincenzo Schiano Di Cola, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo

IEEE J. Biomed. Health Informatics, October, 2023

Solving groundwater flow equation using physics-informed neural networks.

Salvatore Cuomo, Mariapia De Rosa, Fabio Giampaolo, Stefano Izzo, Vincenzo Schiano Di Cola

Comput. Math. Appl., September, 2023

Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain.

Eric Ke Wang, Zicong Chen, Mingjia Zhu, Siu-Ming Yiu, Chien-Ming Chen, Mohammad Mehedi Hassan, Stefano Izzo, Giancarlo Fortino

IEEE Trans. Ind. Informatics, 2023

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

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

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

Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli

Proceedings of the International Joint Conference on Neural Networks, 2023

Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture.

Fabio Giampaolo, Stefano Izzo, Stefano Siccardi, Antongiacomo Polimeno, Valerio Bellandi, Francesco Piccialli

Proceedings of the IEEE International Conference on Web Services, 2023

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

Edoardo Prezioso, Fabio Giampaolo, Stefano Izzo, Martina Savoia, Francesco Piccialli

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

Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment.

Stefano Izzo, Marzia Canzaniello, Martina Savoia, Fabio Giampaolo, Francesco Piccialli

Proceedings of the IEEE Intl Conf on Dependable, 2023

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

Proceedings of the IEEE Intl Conf on Dependable, 2023

Unveiling engagement in virtual classrooms: a multimodal analysis.

Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.

Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, Giovanni Dell'Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano

IEEE J. Biomed. Health Informatics, 2022

Classification of urban functional zones through deep learning.

Stefano Izzo, Edoardo Prezioso, Fabio Giampaolo, Valeria Mele, Vittorio Di Somma, Gang Mei

Neural Comput. Appl., 2022

A physics-informed learning approach to Bernoulli-type free boundary problems.

Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti

Comput. Math. Appl., 2022

Physics-informed neural networks approach for 1D and 2D Gray-Scott systems.

Fabio Giampaolo, Mariapia De Rosa, Pian Qi, Stefano Izzo, Salvatore Cuomo

Adv. Model. Simul. Eng. Sci., 2022

Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning.

Yuting Yang, Gang Mei, Stefano Izzo

IEEE Access, 2022

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

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

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

Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli

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

2021

Deep Learning for the Approximation of a Shape Functional.

Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti

CoRR, 2021

2018

Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation.

Emanuele Laurenzi, Knut Hinkelmann, Stefano Izzo, Ulrich Reimer, Alta van der Merwe

Proceedings of the Advanced Information Systems Engineering Workshops, 2018