Stefano Izzo

Orcid: 0000-0003-0229-8245

According to our database1, Stefano Izzo authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy.
Inf. Sci., January, 2024

On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

2023
Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning.
IEEE J. Biomed. Health Informatics, October, 2023

Solving groundwater flow equation using physics-informed neural networks.
Comput. Math. Appl., September, 2023

Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain.
IEEE Trans. Ind. Informatics, 2023

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture.
Proceedings of the IEEE International Conference on Web Services, 2023

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management.
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.
Proceedings of the IEEE Intl Conf on Dependable, 2023

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Unveiling engagement in virtual classrooms: a multimodal analysis.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.
IEEE J. Biomed. Health Informatics, 2022

Classification of urban functional zones through deep learning.
Neural Comput. Appl., 2022

A physics-informed learning approach to Bernoulli-type free boundary problems.
Comput. Math. Appl., 2022

Physics-informed neural networks approach for 1D and 2D Gray-Scott systems.
Adv. Model. Simul. Eng. Sci., 2022

Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning.
IEEE Access, 2022

A machine learning-based approach for mercury detection in marine waters.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Cut the peaches: image segmentation for utility pattern mining in food processing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Deep Learning for the Approximation of a Shape Functional.
CoRR, 2021

2018
Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation.
Proceedings of the Advanced Information Systems Engineering Workshops, 2018


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