Stefano Izzo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Industrial Automation

Data Anonymization

Top Venues

IEEE J. Biomed. Health Informatics

DASC/PiCom/CBDCom/CyberSciTech

Comput. Math. Appl.

Publications

Daniela Annunziata, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Martina Savoia, Francesco Piccialli
On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing. PDP (2024)
Hajira Batool, Adeel Anjum, Abid Khan, Stefano Izzo, Carlo Mazzocca, Gwanggil Jeon
A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy. Inf. Sci. 652 (2024)
Francesco Piccialli, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Pian Qi
GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency. Inf. Fusion 106 (2024)
Giuseppe Aceto, Fabio Giampaolo, Ciro Guida, Stefano Izzo, Antonio Pescapè, Francesco Piccialli, Edoardo Prezioso
Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. J. Netw. Comput. Appl. 229 (2024)
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)
Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli
Unveiling engagement in virtual classrooms: a multimodal analysis. BigData (2023)
Stefano Izzo, Marzia Canzaniello, Martina Savoia, Fabio Giampaolo, Francesco Piccialli
Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment. DASC/PiCom/CBDCom/CyberSciTech (2023)
Edoardo Prezioso, Fabio Giampaolo, Stefano Izzo, Martina Savoia, Francesco Piccialli
Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. ICNSC (2023)
Fabio Giampaolo, Stefano Izzo, Stefano Siccardi, Antongiacomo Polimeno, Valerio Bellandi, Francesco Piccialli
Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture. ICWS (2023)
Vincenzo Schiano Di Cola, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo
Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN (2023)
Salvatore Cuomo, Mariapia De Rosa, Fabio Giampaolo, Stefano Izzo, Vincenzo Schiano Di Cola
Solving groundwater flow equation using physics-informed neural networks. Comput. Math. Appl. 145 (2023)
Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. PDP (2023)
Eric Ke Wang, Zicong Chen, Mingjia Zhu, Siu-Ming Yiu, Chien-Ming Chen, Mohammad Mehedi Hassan, Stefano Izzo, Giancarlo Fortino
Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain. IEEE Trans. Ind. Informatics 19 (2) (2023)
Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo
A machine learning-based approach for mercury detection in marine waters. ICDM (Workshops) (2022)
Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti
A physics-informed learning approach to Bernoulli-type free boundary problems. Comput. Math. Appl. 128 (2022)
Fabio Giampaolo, Mariapia De Rosa, Pian Qi, Stefano Izzo, Salvatore Cuomo
Physics-informed neural networks approach for 1D and 2D Gray-Scott systems. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Stefano Izzo, Edoardo Prezioso, Fabio Giampaolo, Valeria Mele, Vittorio Di Somma, Gang Mei
Classification of urban functional zones through deep learning. Neural Comput. Appl. 34 (9) (2022)
Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, G. Dell'Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Yuting Yang, Gang Mei, Stefano Izzo
Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning. IEEE Access 10 (2022)
Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli
Cut the peaches: image segmentation for utility pattern mining in food processing. ICDM (Workshops) (2022)
Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti
Deep Learning for the Approximation of a Shape Functional. CoRR (2021)
Emanuele Laurenzi, Knut Hinkelmann, Stefano Izzo, Ulrich Reimer, Alta van der Merwe
Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation. CAiSE Workshops (2018)