Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation. - Emanuele Laurenzi; Knut Hinkelmann; Stefano Izzo; Ulrich Reimer; Alta van der Merwe (CAiSE Workshops, 2018)

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)

Cut the peaches: image segmentation for utility pattern mining in food processing. - Diletta Chiaro; Edoardo Prezioso; Stefano Izzo; Fabio Giampaolo; Salvatore Cuomo; Francesco Piccialli (ICDM (Workshops), 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 (ICDM (Workshops), 2022)

Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning. - Yuting Yang 006; Gang Mei; Stefano Izzo (IEEE Access, 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)

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)

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)

Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. - Edoardo Prezioso; Stefano Izzo; Fabio Giampaolo; Francesco Piccialli; Giovanni Dell'Aversana Orabona; Renato Cuocolo; Vincenzo Abbate; Lorenzo Ugga; L. Califano (IEEE J. Biomed. Health Informatics, 2022)

Unveiling engagement in virtual classrooms: a multimodal analysis. - Diletta Chiaro; Daniela Annuziata; Stefano Izzo; Francesco Piccialli (IEEE Big Data, 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 (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment. - Stefano Izzo; Marzia Canzaniello; Martina Savoia; Fabio Giampaolo; Francesco Piccialli (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. - Edoardo Prezioso; Fabio Giampaolo; Stefano Izzo; Martina Savoia; Francesco Piccialli (ICNSC, 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 (ICWS, 2023)

Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. - Fabio Giampaolo; Stefano Izzo; Edoardo Prezioso; Francesco Piccialli (IJCNN, 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 (PDP, 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 001; Mohammad Mehedi Hassan; Stefano Izzo; Giancarlo Fortino (IEEE Trans. Ind. Informatics, 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., 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, 2023)

SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning. - Stefano Izzo; Fabio Giampaolo; Diletta Chiaro; Francesco Piccialli (ICDCSW, 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 (PDP, 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)

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)

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., 2024)

CAPTURE - Computational Analysis and Predictive Techniques for Urban Resource Efficiency. - Marzia Canzaniello; Stefano Izzo; Diletta Chiaro; Antonella Longo; Francesco Piccialli (Expert Syst. J. Knowl. Eng., 2025)