Maria Stella de Biase

According to our database, Maria Stella de Biase authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

Design and evaluation of a privacy-preserving multi-level federated learning architecture for airport biometric check-in.

Lelio Campanile, Maria Stella de Biase, Fiammetta Marulli

Future Gener. Comput. Syst., 2026

2025

Extracting Knowledge from Data in Lightweight Digital Twin Construction.

Laura Verde, Maria Stella de Biase, Giusy D'angelo, Roberta Petruolo, Paola Tirelli, Stefano Guarino, Anna Di Sessa, Pierluigi Marzuillo, Stefano Marrone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Toward Paediatric Digital Twins: STELLA-Segmentation Tool for Enhanced Localisation and Labelling of Diagnostic Areas.

Roberta De Fazio, Maria Stella de Biase, Pierluigi Marzuillo, Paola Tirelli, Fiammetta Marulli, Stefano Marrone, Laura Verde

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Detecting Vegetation Patterns in Satellite Images: SILVIA, a Segmentation-Based Approach.

Maria Stella de Biase, Roberta De Fazio, Stefano Marrone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

AI in Pediatric Urology: Deep Learning-Based Approach Supporting Posterior Urethral Valves Diagnosis on VCUG Imaging.

Ciro Russo, Gaetano Settembre, Grazia Gargano, Maria Stella de Biase, Roberta De Fazio

Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

Edge-Cloud Distributed Approaches to Text Authorship Analysis: A Feasibility Study.

Lelio Campanile, Maria Stella de Biase, Fiammetta Marulli

Proceedings of the Advanced Information Networking and Applications, 2025

2024

Completion of SysML state machines from Given-When-Then requirements.

Maria Stella de Biase, Simona Bernardi, Stefano Marrone, José Merseguer, Angelo Palladino

Softw. Syst. Model., December, 2024

Understanding Readability of Large Language Models Output: An Empirical Analysis.

Fiammetta Marulli, Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Laura Verde, Marianna Bifulco

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023

Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design.

Lelio Campanile, Maria Stella de Biase, Roberta De Fazio, Michele Di Giovanni, Fiammetta Marulli, Laura Verde

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022

Towards Automatic Model Completion: from Requirements to SysML State Machines.

Maria Stella de Biase, Stefano Marrone, Angelo Palladino

CoRR, 2022

On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study.

Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Mariapia Raimondo, Laura Verde

Proceedings of the Intelligent Decision Technologies, 2022

Sensitive Information Detection Adopting Named Entity Recognition: A Proposed Methodology.

Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Fiammetta Marulli, Mariapia Raimondo, Laura Verde

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

Toward an Interoperable Catalogue of Multimodal Depression-Related Data.

Terry Amorese, Gennaro Cordasco, Giovanni D'Angelo, Maria Stella de Biase, Michele Di Giovanni, Anna Esposito, Claudia Greco, Stefano Marrone, Fiammetta Marulli, Laura Verde

AII, 2022

2021

Evaluating Efficiency and Effectiveness of Federated Learning Approaches in Knowledge Extraction Tasks.

Fiammetta Marulli, Laura Verde, Stefano Marrone, Roberta Barone, Maria Stella de Biase

Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Classification Trustworthiness in Random Forests.

Maria Stella de Biase, Fiammetta Marulli, Laura Verde, Stefano Marrone

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

2020

Automatic Generation of Smart Human-Machine Interfaces.

Maria Stella de Biase, Stefano Marrone, Fiammetta Marulli

Proceedings of the IEEE International Conference on Human-Machine Systems, 2020