Laura Verde

Valentina Virginia Iuzzolino

Biomed. Signal Process. Control., 2024

Fuzzy-based Severity Evaluation in Privacy Problems: an Application to Healthcare.

[BibT_eX]

[DOI]

Proceedings of the 19th European Dependable Computing Conference, 2024

Dealing with clinical outcome and fair cost: the FIDCARE platform.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2024

2023

CNN-based classification of phonocardiograms using fractal techniques.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., September, 2023

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

[BibT_eX]

[DOI]

J. Ambient Intell. Smart Environ., 2023

Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems.

[BibT_eX]

[DOI]

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

Inferring Emotional Models from Human-Machine Speech Interactions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Process Mining Workshops, 2023

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

[BibT_eX]

[DOI]

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

2022

A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2022

Sensitivity of Machine Learning Approaches to Fake and Untrusted Data in Healthcare Domain.

[BibT_eX]

[DOI]

J. Sens. Actuator Networks, 2022

A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Decision Technologies, 2022

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

[BibT_eX]

[DOI]

Mariapia Raimondo

Proceedings of the Intelligent Decision Technologies, 2022

Challenges and Trends in Federated Learning for Well-being and Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

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

[BibT_eX]

[DOI]

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

Speech-based Evaluation of Emotions-Depression Correlation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Toward an Interoperable Catalogue of Multimodal Depression-Related Data.

[BibT_eX]

[DOI]

Terry Amorese

Gennaro Cordasco

Giovanni D'Angelo

AII, 2022

2021

Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2021

Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Improving Classification Trustworthiness in Random Forests.

[BibT_eX]

[DOI]

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

2020

Healthcare Systems: An Overview of the Most Important Aspects of Current and Future m-Health Applications.

[BibT_eX]

[DOI]

Proceedings of the Connected Health in Smart Cities, 2020

2019

A neural network approach to classify carotid disorders from Heart Rate Variability analysis.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2019

Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App.

[BibT_eX]

[DOI]

IEEE Access, 2019

Dysphonia Detection Index (DDI): A New Multi-Parametric Marker to Evaluate Voice Quality.

[BibT_eX]

[DOI]

IEEE Access, 2019

An Objective Measure of Carotid Disease Based on a Multiparameter Approach.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

A new database of healthy and pathological voices.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2018

A methodology for voice classification based on the personalized fundamental frequency estimation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2018

Voice Disorder Identification by Using Machine Learning Techniques.

[BibT_eX]

[DOI]

IEEE Access, 2018

A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

Vox4Health: Preliminary Results of a Pilot Study for the Evaluation of a Mobile Voice Screening Application.

[BibT_eX]

[DOI]

Proceedings of the Ambient Intelligence - Software and Applications, 2016

An Easy Approach for the Classification of Children's Voices based on the Fundamental Frequency Estimation.

[BibT_eX]

[DOI]