Roberta De Fazio

According to our database, Roberta De Fazio authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

Inferring failure processes via causality analysis: from event logs to predictive fault trees.

Roberta De Fazio, Benoît Depaire, Stefano Marrone, Laura Verde

Reliab. Eng. Syst. Saf., 2026

CARE: Clinical AI predictor for posterior urethal valves - design, explainability and evaluation.

Roberta De Fazio, Stefano Marrone, Paola Tirelli, Raffaele Chianese, Clelia Di Nardo, Pierluigi Marzuillo, Laura Verde

J. Syst. Softw., 2026

2025

Towards a pre-surgery clinical decision support system.

Stefano Marrone, Roberta De Fazio, Rossella Picone, Laura Verde

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

Towards a Digital Twin of the Cardiovascular System.

Ciro Nespolino, Roberta De Fazio, Laura Verde, Stefano Marrone

Proceedings of the 10th International Conference on Internet of Things, 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

2024

Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature.

Jan Vrba, Jakub Steinbach, Tomás Jirsa, Laura Verde, Roberta De Fazio, Noriyasu Homma, Yuwen Zeng, Key Ichiji, Lukas Hajek, Zuzana Sedlakova, Jan Mares

CoRR, 2024

Towards an extension of Fault Trees in the Predictive Maintenance Scenario.

Roberta De Fazio, Stefano Marrone, Laura Verde, Vincenzo Reccia, Paolo Valletta

CoRR, 2024

HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis.

Laura Verde, Fiammetta Marulli, Roberta De Fazio, Lelio Campanile, Stefano Marrone

Comput. Biol. Medicine, 2024

Towards Hepatic Cancer Detection with Bayesian Networks for Patients Digital Twins Modelling.

Roberta De Fazio, Adrian Bartos, Viviana Leonetti, Stefano Marrone, Laura Verde

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

Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI.

Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Fiammetta Marulli

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

Explainabilty Comparison between Random Forests and Neural Networks - Case Study of Amino Acid Volume Prediction.

Roberta De Fazio, Rosy Di Giovannantonio, Emanuele Bellini, Stefano Marrone

Inf., January, 2023

A Petri net oriented approach for advanced building energy management systems.

Stefano Marrone, Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Ugo Gentile, Fiammetta Marulli, Laura Verde

J. Ambient Intell. Smart Environ., 2023

Inferring Emotional Models from Human-Machine Speech Interactions.

Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Stefano Marrone, Fiammetta Marulli, Laura Verde

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

CaseID Detection for Process Mining: A Heuristic-Based Methodology.

Roberta De Fazio, Antonio Balzanella, Stefano Marrone, Fiammetta Marulli, Laura Verde, Vincenzo Reccia, Paolo Valletta

Proceedings of the Process Mining Workshops, 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