Laura Verde

Orcid: 0000-0003-2422-1732

According to our database1, Laura Verde authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Towards an extension of Fault Trees in the Predictive Maintenance Scenario.
CoRR, 2024

Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
CNN-based classification of phonocardiograms using fractal techniques.
Biomed. Signal Process. Control., September, 2023

A Petri net oriented approach for advanced building energy management systems.
J. Ambient Intell. Smart Environ., 2023

Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems.
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.
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.
Proceedings of the Process Mining Workshops, 2023

Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design.
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.
ACM Trans. Internet Techn., 2022

Sensitivity of Machine Learning Approaches to Fake and Untrusted Data in Healthcare Domain.
J. Sens. Actuator Networks, 2022

A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking.
Proceedings of the Intelligent Decision Technologies, 2022

On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study.
Proceedings of the Intelligent Decision Technologies, 2022

Challenges and Trends in Federated Learning for Well-being and Healthcare.
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.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

Speech-based Evaluation of Emotions-Depression Correlation.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022


2021
Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis.
IEEE Access, 2021

Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Improving Classification Trustworthiness in Random Forests.
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.
Proceedings of the Connected Health in Smart Cities, 2020

2019
A neural network approach to classify carotid disorders from Heart Rate Variability analysis.
Comput. Biol. Medicine, 2019

Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App.
IEEE Access, 2019

Dysphonia Detection Index (DDI): A New Multi-Parametric Marker to Evaluate Voice Quality.
IEEE Access, 2019

An Objective Measure of Carotid Disease Based on a Multiparameter Approach.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
A new database of healthy and pathological voices.
Comput. Electr. Eng., 2018

A methodology for voice classification based on the personalized fundamental frequency estimation.
Biomed. Signal Process. Control., 2018

Voice Disorder Identification by Using Machine Learning Techniques.
IEEE Access, 2018

A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features.
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.
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.
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.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
A noise-aware methodology for a Mobile Voice Screening application.
Proceedings of the 6th International Workshop on Advances in Sensors and Interfaces, 2015

An m-health system for the estimation of voice disorders.
Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015


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