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Stefano Izzo
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2020 – today
- 2024
- [j11]Francesco Piccialli, Marzia Canzaniello, Diletta Chiaro, Stefano Izzo, Pian Qi:
GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency. Inf. Fusion 106: 102265 (2024) - [j10]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: 119717 (2024) - [j9]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: 103926 (2024) - [c12]Stefano Izzo, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli:
SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning. ICDCSW 2024: 23-28 - [c11]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: 230-237 - 2023
- [j8]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: 106-123 (2023) - [j7]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): 2165-2172 (2023) - [j6]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): 4649-4659 (2023) - [c10]Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli:
Unveiling engagement in virtual classrooms: a multimodal analysis. IEEE Big Data 2023: 4761-4769 - [c9]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: 651-658 - [c8]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 - [c7]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 - [c6]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: 701-703 - [c5]Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli:
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN 2023: 1-7 - [c4]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: 185-192 - 2022
- [j5]Yuting Yang, Gang Mei, Stefano Izzo:
Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning. IEEE Access 10: 50755-50773 (2022) - [j4]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): 5 (2022) - [j3]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: 34-43 (2022) - [j2]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): 6973-6990 (2022) - [j1]Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, Giovanni 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): 4869-4879 (2022) - [c3]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: 1-10 - [c2]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: 497-506 - 2021
- [i1]Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti:
Deep Learning for the Approximation of a Shape Functional. CoRR abs/2110.02112 (2021)
2010 – 2019
- 2018
- [c1]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: 222-234
Coauthor Index
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last updated on 2024-12-10 21:40 CET by the dblp team
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