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Laura Verde

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2020 – today

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2024
[j13]
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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: 105706 (2024)
[j12]
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Laura Verde, Fiammetta Marulli, Roberta De Fazio, Lelio Campanile, Stefano Marrone:
HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis. Comput. Biol. Medicine 182: 109021 (2024)
[c26]
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Fiammetta Marulli, Lelio Campanile, Stefano Marrone, Laura Verde:
Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study. AINA (5) 2024: 297-306
[c25]
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Raffaele Chianese, Leopoldo Beneduce, Francesco Gargiulo, Stefano Marrone, Laura Verde:
Dealing with clinical outcome and fair cost: the FIDCARE platform. EASE 2024: 425-428
[c24]
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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: 147-154
[c23]
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Francesco Flammini, Stefano Marrone, Roberto Nardone, Usman Sanwal, Cristina Seceleanu, Laura Verde, Valeria Vittorini:
Railway Switch Control Modeling in European Train Control System Level 3. ISoLA (5) 2024: 174-189
[i2]
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  - journals/corr/abs-2403-13785
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Roberta De Fazio, Stefano Marrone, Laura Verde, Vincenzo Reccia, Paolo Valletta:
Towards an extension of Fault Trees in the Predictive Maintenance Scenario. CoRR abs/2403.13785 (2024)
[i1]
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  - journals/corr/abs-2410-10537
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Jan Vrba, Jakub Steinbach, Tomás Jirsa, Laura Verde, Roberta De Fazio, Noriyasu Homma, Yuwen Zeng, Key Ichiji, Lukas Hajek, Zuzana Sedlakova, Jan Mares:
Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature. CoRR abs/2410.10537 (2024)
2023
[j11]
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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): 105186 (2023)
[j10]
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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): 211-233 (2023)
[c22]
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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: 301-306
[c21]
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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: 45-57
[c20]
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Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Stefano Marrone, Fiammetta Marulli, Laura Verde:
Inferring Emotional Models from Human-Machine Speech Interactions. KES 2023: 1241-1250
[c19]
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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: 3133-3142
2022
[j9]
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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): 21 (2022)
[j8]
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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): 8:1-8:16 (2022)
[c18]
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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: 376-390
[c17]
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Laura Verde, Lelio Campanile, Fiammetta Marulli, Stefano Marrone:
Speech-based Evaluation of Emotions-Depression Correlation. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6
[c16]
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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: 377-388
[c15]
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Lelio Campanile, Stefano Marrone, Fiammetta Marulli, Laura Verde:
Challenges and Trends in Federated Learning for Well-being and Healthcare. KES 2022: 1144-1153
[c14]
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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: 561-571
[c13]
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Fiammetta Marulli, Laura Verde, Stefano Marrone, Lelio Campanile:
A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking. KES-IDT 2022: 587-596
2021
[j7]
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  - journals/access/VerdePGAAS21
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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: 65750-65757 (2021)
[c12]
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Maria Stella de Biase, Fiammetta Marulli, Laura Verde, Stefano Marrone:
Improving Classification Trustworthiness in Random Forests. CSR 2021: 563-568
[c11]
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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: 330-335
[c10]
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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: 1-6
[c9]
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Laura Verde, Fiammetta Marulli, Stefano Marrone:
Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability. KES 2021: 2624-2632
[c8]
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Fiammetta Marulli, Laura Verde, Lelio Campanile:
Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems. KES 2021: 3570-3579
2020
[p1]
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Giovanna Sannino, Giuseppe De Pietro, Laura Verde:
Healthcare Systems: An Overview of the Most Important Aspects of Current and Future m-Health Applications. Connected Health in Smart Cities 2020: 213-231

2010 – 2019

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2019
[j6]
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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: 55689-55697 (2019)
[j5]
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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: 124048-124054 (2019)
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Laura Verde, Giuseppe De Pietro:
A neural network approach to classify carotid disorders from Heart Rate Variability analysis. Comput. Biol. Medicine 109: 226-234 (2019)
[c7]
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Laura Verde, Giuseppe De Pietro:
An Objective Measure of Carotid Disease Based on a Multiparameter Approach. CBMS 2019: 584-587
2018
[j3]
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Laura Verde, Giuseppe De Pietro, Giovanna Sannino:
Voice Disorder Identification by Using Machine Learning Techniques. IEEE Access 6: 16246-16255 (2018)
[j2]
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Laura Verde, Giuseppe De Pietro, Giovanna Sannino:
A methodology for voice classification based on the personalized fundamental frequency estimation. Biomed. Signal Process. Control. 42: 134-144 (2018)
[j1]
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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: 310-321 (2018)
[c6]
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Laura Verde, Giuseppe De Pietro:
A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features. HEALTHINF 2018: 658-664
2017
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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: 545-552
2016
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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: 570-577
[c3]
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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: 131-140
2015
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Laura Verde, Giuseppe De Pietro, Pierangelo Veltri, Giovanna Sannino:
An m-health system for the estimation of voice disorders. ICME Workshops 2015: 1-6
[c1]
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Laura Verde, Giuseppe De Pietro, Pierangelo Veltri, Giovanna Sannino:
A noise-aware methodology for a Mobile Voice Screening application. IWASI 2015: 193-198

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