An m-health system for the estimation of voice disorders. - Laura Verde; Giuseppe De Pietro; Pierangelo Veltri; Giovanna Sannino (ICME Workshops, 2015)

A noise-aware methodology for a Mobile Voice Screening application. - Laura Verde; Giuseppe De Pietro; Pierangelo Veltri; Giovanna Sannino (IWASI, 2015)

An Easy Approach for the Classification of Children's Voices based on the Fundamental Frequency Estimation. - Laura Verde; Giuseppe De Pietro; Giovanna Sannino (HEALTHINF, 2016)

Vox4Health: Preliminary Results of a Pilot Study for the Evaluation of a Mobile Voice Screening Application. - Laura Verde; Giuseppe De Pietro; Giovanna Sannino (ISAmI, 2016)

A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices. - Salvatore Naddeo; Laura Verde; Manolo Forastiere; Giuseppe De Pietro; Giovanna Sannino (HEALTHINF, 2017)

A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features. - Laura Verde; Giuseppe De Pietro (HEALTHINF, 2018)

Voice Disorder Identification by Using Machine Learning Techniques. - Laura Verde; Giuseppe De Pietro; Giovanna Sannino (IEEE Access, 2018)

A methodology for voice classification based on the personalized fundamental frequency estimation. - Laura Verde; Giuseppe De Pietro; Giovanna Sannino (Biomed. Signal Process. Control., 2018)

A new database of healthy and pathological voices. - Ugo Cesari; Giuseppe De Pietro; Elio Marciano; Ciro Niri; Giovanna Sannino; Laura Verde (Comput. Electr. Eng., 2018)

An Objective Measure of Carotid Disease Based on a Multiparameter Approach. - Laura Verde; Giuseppe De Pietro (CBMS, 2019)

Dysphonia Detection Index (DDI): A New Multi-Parametric Marker to Evaluate Voice Quality. - Laura Verde; Giuseppe De Pietro; Mubarak Alrashoud; Ahmed Ghoneim; Khaled N. Al-Mutib; Giovanna Sannino (IEEE Access, 2019)

Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App. - Laura Verde; Giuseppe De Pietro; Mubarak Alrashoud; Ahmed Ghoneim; Khaled N. Al-Mutib; Giovanna Sannino (IEEE Access, 2019)

A neural network approach to classify carotid disorders from Heart Rate Variability analysis. - Laura Verde; Giuseppe De Pietro (Comput. Biol. Medicine, 2019)

Healthcare Systems: An Overview of the Most Important Aspects of Current and Future m-Health Applications. - Giovanna Sannino; Giuseppe De Pietro; Laura Verde (Connected Health in Smart Cities, 2020)

Improving Classification Trustworthiness in Random Forests. - Maria Stella de Biase; Fiammetta Marulli; Laura Verde; Stefano Marrone 001 (CSR, 2021)

A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis. - Laura Verde; Gennaro Raimo; Federica Vitale; Bruno Carbonaro; Gennaro Cordasco; Stefano Marrone 001; Anna Esposito (ICTAI, 2021)

Evaluating Efficiency and Effectiveness of Federated Learning Approaches in Knowledge Extraction Tasks. - Fiammetta Marulli; Laura Verde; Stefano Marrone 001; Roberta Barone; Maria Stella de Biase (IJCNN, 2021)

Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems. - Fiammetta Marulli; Laura Verde; Lelio Campanile (KES, 2021)

Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability. - Laura Verde; Fiammetta Marulli; Stefano Marrone 001 (KES, 2021)

Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis. - Laura Verde; Giuseppe De Pietro; Ahmed Ghoneim; Mubarak Alrashoud; Khaled N. Al-Mutib; Giovanna Sannino (IEEE Access, 2021)

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 001; Fiammetta Marulli; Laura Verde (AII, 2022)

Speech-based Evaluation of Emotions-Depression Correlation. - Laura Verde; Lelio Campanile; Fiammetta Marulli; Stefano Marrone 001 (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Sensitive Information Detection Adopting Named Entity Recognition: A Proposed Methodology. - Lelio Campanile; Maria Stella de Biase; Stefano Marrone 001; Fiammetta Marulli; Mariapia Raimondo; Laura Verde (ICCSA (Workshops 4), 2022)

Challenges and Trends in Federated Learning for Well-being and Healthcare. - Lelio Campanile; Stefano Marrone 001; Fiammetta Marulli; Laura Verde (KES, 2022)

On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study. - Lelio Campanile; Maria Stella de Biase; Stefano Marrone 001; Mariapia Raimondo; Laura Verde (KES-IDT, 2022)

A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking. - Fiammetta Marulli; Laura Verde; Stefano Marrone 001; Lelio Campanile (KES-IDT, 2022)

Sensitivity of Machine Learning Approaches to Fake and Untrusted Data in Healthcare Domain. - Fiammetta Marulli; Stefano Marrone 001; Laura Verde (J. Sens. Actuator Networks, 2022)

A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments. - Laura Verde; Nadia Brancati; Giuseppe De Pietro; Maria Frucci; Giovanna Sannino (ACM Trans. Internet Techn., 2022)

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 (CSR, 2023)

CaseID Detection for Process Mining: A Heuristic-Based Methodology. - Roberta De Fazio; Antonio Balzanella; Stefano Marrone 001; Fiammetta Marulli; Laura Verde; Vincenzo Reccia; Paolo Valletta (ICPM Workshops, 2023)

Inferring Emotional Models from Human-Machine Speech Interactions. - Lelio Campanile; Roberta De Fazio; Michele Di Giovanni; Stefano Marrone 001; Fiammetta Marulli; Laura Verde (KES, 2023)

Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems. - Michele Di Giovanni; Lelio Campanile; Antonio D'Onofrio; Stefano Marrone 001; Fiammetta Marulli; Mauro Romoli; Carlo Sabbarese; Laura Verde (KES, 2023)

A Petri net oriented approach for advanced building energy management systems. - Stefano Marrone 001; Lelio Campanile; Roberta De Fazio; Michele Di Giovanni; Ugo Gentile; Fiammetta Marulli; Laura Verde (J. Ambient Intell. Smart Environ., 2023)

CNN-based classification of phonocardiograms using fractal techniques. - Daniel Riccio; Nadia Brancati; Giovanna Sannino; Laura Verde; Maria Frucci (Biomed. Signal Process. Control., 2023)

Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study. - Fiammetta Marulli; Lelio Campanile; Stefano Marrone 001; Laura Verde (AINA (5), 2024)

Dealing with clinical outcome and fair cost: the FIDCARE platform. - Raffaele Chianese; Leopoldo Beneduce; Francesco Gargiulo 001; Stefano Marrone 001; Laura Verde (EASE, 2024)

Fuzzy-based Severity Evaluation in Privacy Problems: an Application to Healthcare. - Atrin Barzegar; Lelio Campanile; Stefano Marrone 001; Fiammetta Marulli; Laura Verde; Michele Mastroianni (EDCC, 2024)

Railway Switch Control Modeling in European Train Control System Level 3. - Francesco Flammini; Stefano Marrone 001; Roberto Nardone; Usman Sanwal; Cristina Seceleanu; Laura Verde; Valeria Vittorini (ISoLA (5), 2024)

Fuzzy Inference System for Risk Assessment of Wheat Flour Product Manufacturing Systems. - Yas Barzegar; Atrin Barzegar; Francesco Bellini; Stefano Marrone 001; Laura Verde (KES, 2024)

Towards Hepatic Cancer Detection with Bayesian Networks for Patients Digital Twins Modelling. - Roberta De Fazio; Adrian Bartos; Viviana Leonetti; Stefano Marrone 001; Laura Verde (KES, 2024)

Improving Voice Pathology Classification Using Artificial Data Generation. - Tomás Jirsa; Laura Verde; Fiammetta Marulli; Stefano Marrone 001; Jan Vrba (KES, 2024)

Understanding Readability of Large Language Models Output: An Empirical Analysis. - Fiammetta Marulli; Lelio Campanile; Maria Stella de Biase; Stefano Marrone 001; Laura Verde; Marianna Bifulco (KES, 2024)

Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment. - Raffaele Dubbioso; Myriam Spisto; Laura Verde; Valentina Virginia Iuzzolino; Gianmaria Senerchia; Giuseppe De Pietro; Ivanoe De Falco; Giovanna Sannino (Biomed. Signal Process. Control., 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 001 (Comput. Biol. Medicine, 2024)

Towards an extension of Fault Trees in the Predictive Maintenance Scenario. - Roberta De Fazio; Stefano Marrone 001; Laura Verde; Vincenzo Reccia; Paolo Valletta (CoRR, 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)

Computational Risk Assessment in Water Distribution Network. - Yas Barzegar; Atrin Barzegar; Stefano Marrone 001; Laura Verde; Francesco Bellini; Patrizio Pisani (ICCS (Workshops 4), 2025)

Towards a Digital Twin of the Cardiovascular System. - Ciro Nespolino; Roberta De Fazio; Laura Verde; Stefano Marrone 001 (IoTBDS, 2025)

Assessing Safety and Sustainability of a Monitoring System for Nuclear Waste Management. - Michele Di Giovanni; Laura Verde; Lelio Campanile; Mauro Romoli; Carlo Sabbarese; Stefano Marrone 001 (IEEE Access, 2025)