Laura Verde

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Artificial Intelligence

Top Venues

Biomed. Signal Process. Control.

Publications

Atrin Barzegar, Lelio Campanile, Stefano Marrone, Fiammetta Marulli, Laura Verde, Michele Mastroianni
Fuzzy-based Severity Evaluation in Privacy Problems: an Application to Healthcare. EDCC (2024)
Roberta De Fazio, Stefano Marrone, Laura Verde, Vincenzo Reccia, Paolo Valletta
Towards an extension of Fault Trees in the Predictive Maintenance Scenario. CoRR (2024)
Fiammetta Marulli, Lelio Campanile, Stefano Marrone, Laura Verde
Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study. AINA (5) (2024)
Raffaele Chianese, Leopoldo Beneduce, Francesco Gargiulo, Stefano Marrone, Laura Verde
Dealing with clinical outcome and fair cost: the FIDCARE platform. EASE (2024)
Raffaele Dubbioso, Myriam Spisto, Laura Verde, Valentina Virginia Iuzzolino, Gianmaria Senerchia, Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino
Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment. Biomed. Signal Process. Control. 89 (2024)
Lelio Campanile, Maria Stella de Biase, Roberta De Fazio, Michele Di Giovanni, Fiammetta Marulli, Laura Verde
Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design. CSR (2023)
Roberta De Fazio, Antonio Balzanella, Stefano Marrone, Fiammetta Marulli, Laura Verde, Vincenzo Reccia, Paolo Valletta
CaseID Detection for Process Mining: A Heuristic-Based Methodology. ICPM Workshops (2023)
Michele Di Giovanni, Lelio Campanile, Antonio D'Onofrio, Stefano Marrone, Fiammetta Marulli, Mauro Romoli, Carlo Sabbarese, Laura Verde
Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems. KES (2023)
Daniel Riccio, Nadia Brancati, Giovanna Sannino, Laura Verde, Maria Frucci
CNN-based classification of phonocardiograms using fractal techniques. Biomed. Signal Process. Control. 86 (Part B) (2023)
Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Stefano Marrone, Fiammetta Marulli, Laura Verde
Inferring Emotional Models from Human-Machine Speech Interactions. KES (2023)
Stefano Marrone, Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Ugo Gentile, Fiammetta Marulli, Laura Verde
A Petri net oriented approach for advanced building energy management systems. J. Ambient Intell. Smart Environ. 15 (3) (2023)
Fiammetta Marulli, Stefano Marrone, Laura Verde
Sensitivity of Machine Learning Approaches to Fake and Untrusted Data in Healthcare Domain. J. Sens. Actuator Networks 11 (2) (2022)
Laura Verde, Lelio Campanile, Fiammetta Marulli, Stefano Marrone
Speech-based Evaluation of Emotions-Depression Correlation. DASC/PiCom/CBDCom/CyberSciTech (2022)
Terry Amorese, Gennaro Cordasco, Giovanni D'Angelo, Maria Stella de Biase, Michele Di Giovanni, Anna Esposito, Claudia Greco, Stefano Marrone, Fiammetta Marulli, Laura Verde
Toward an Interoperable Catalogue of Multimodal Depression-Related Data. AII (2022)
Laura Verde, Nadia Brancati, Giuseppe De Pietro, Maria Frucci, Giovanna Sannino
A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments. ACM Trans. Internet Techn. 22 (1) (2022)
Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Mariapia Raimondo, Laura Verde
On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study. KES-IDT (2022)
Fiammetta Marulli, Laura Verde, Stefano Marrore, Lelio Campanile
A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking. KES-IDT (2022)
Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Fiammetta Marulli, Mariapia Raimondo, Laura Verde
Sensitive Information Detection Adopting Named Entity Recognition: A Proposed Methodology. ICCSA (Workshops 4) (2022)
Lelio Campanile, Stefano Marrone, Fiammetta Marulli, Laura Verde
Challenges and Trends in Federated Learning for Well-being and Healthcare. KES (2022)
Laura Verde, Gennaro Raimo, Federica Vitale, Bruno Carbonaro, Gennaro Cordasco, Stefano Marrone, Anna Esposito
A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis. ICTAI (2021)
Fiammetta Marulli, Laura Verde, Lelio Campanile
Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems. KES (2021)
Fiammetta Marulli, Laura Verde, Stefano Marrone, Roberta Barone, Maria Stella De Biase
Evaluating Efficiency and Effectiveness of Federated Learning Approaches in Knowledge Extraction Tasks. IJCNN (2021)
Maria Stella De Biase, Fiammetta Marulli, Laura Verde, Stefano Marrone
Improving Classification Trustworthiness in Random Forests. CSR (2021)
Laura Verde, Fiammetta Marulli, Stefano Marrone
Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability. KES (2021)
Laura Verde, Giuseppe De Pietro, Ahmed Ghoneim, Mubarak Alrashoud, Khaled N. Al-Mutib, Giovanna Sannino
Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis. IEEE Access 9 (2021)
Laura Verde, Giuseppe De Pietro, Mubarak Alrashoud, Ahmed Ghoneim, Khaled N. Al-Mutib, Giovanna Sannino
Dysphonia Detection Index (DDI): A New Multi-Parametric Marker to Evaluate Voice Quality. IEEE Access 7 (2019)
Laura Verde, Giuseppe De Pietro, Mubarak Alrashoud, Ahmed Ghoneim, Khaled N. Al-Mutib, Giovanna Sannino
Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App. IEEE Access 7 (2019)
Laura Verde, Giuseppe De Pietro
An Objective Measure of Carotid Disease Based on a Multiparameter Approach. CBMS (2019)
Laura Verde, Giuseppe De Pietro
A neural network approach to classify carotid disorders from Heart Rate Variability analysis. Comput. Biol. Medicine 109 (2019)
Laura Verde, Giuseppe De Pietro
A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features. HEALTHINF (2018)
Laura Verde, Giuseppe De Pietro, Giovanna Sannino
A methodology for voice classification based on the personalized fundamental frequency estimation. Biomed. Signal Process. Control. 42 (2018)
Laura Verde, Giuseppe De Pietro, Giovanna Sannino
Voice Disorder Identification by Using Machine Learning Techniques. IEEE Access 6 (2018)
Ugo Cesari, Giuseppe De Pietro, Elio Marciano, Ciro Niri, Giovanna Sannino, Laura Verde
A new database of healthy and pathological voices. Comput. Electr. Eng. 68 (2018)
Salvatore Naddeo, Laura Verde, Manolo Forastiere, Giuseppe De Pietro, Giovanna Sannino
A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices. HEALTHINF (2017)
Laura Verde, Giuseppe De Pietro, Giovanna Sannino
An Easy Approach for the Classification of Children's Voices based on the Fundamental Frequency Estimation. HEALTHINF (2016)
Laura Verde, Giuseppe De Pietro, Giovanna Sannino
Vox4Health: Preliminary Results of a Pilot Study for the Evaluation of a Mobile Voice Screening Application. ISAmI (2016)
Laura Verde, Giuseppe De Pietro, Pierangelo Veltri, Giovanna Sannino
An m-health system for the estimation of voice disorders. ICME Workshops (2015)
Laura Verde, Giuseppe De Pietro, Pierangelo Veltri, Giovanna Sannino
A noise-aware methodology for a Mobile Voice Screening application. IWASI (2015)