Gianluca Zaza

Orcid: 0000-0003-3272-9739

According to our database1, Gianluca Zaza authored at least 16 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Evaluating the robustness of a contact-less mHealth solution for personal and remote monitoring of blood oxygen saturation.
J. Ambient Intell. Humaniz. Comput., July, 2023

Interpretable Neuro-Fuzzy Models for Stress Prediction.
Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

2022
A mobile app for contactless measurement of vital signs through remote Photoplethysmography.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Explainable Fuzzy Models for Learning Analytics.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

2021
Segmentation of remotely sensed images with a neuro-fuzzy inference system.
Proceedings of WILF 2021, 2021

Using an adaptive neuro-fuzzy inference system for the classification of hypertension.
Proceedings of WILF 2021, 2021

Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

On the use of FIS inside a Telehealth system for cardiovascular risk monitoring.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Neuro-Fuzzy Systems for Learning Analytics.
Proceedings of the Intelligent Systems Design and Applications, 2021

2020
A mHealth solution for contact-less self-monitoring of blood oxygen saturation.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules.
Inf., 2019

Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process.
Proceedings of the Wireless Mobile Communication and Healthcare, 2019

Monitoring Cardiovascular Risk by Video Processing and Fuzzy Rules.
Proceedings of the Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

2018
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

2017
FISDeT: Fuzzy Inference System Development Tool.
Int. J. Comput. Intell. Syst., 2017


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