Gianluca Zaza

Orcid: 0000-0003-3272-9739

According to our database1, Gianluca Zaza authored at least 33 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FuzzyGNN: a graph neural network framework for enhanced fuzzy modeling.
Neural Comput. Appl., May, 2026

2025
Evolving fuzzy classification for human-centered explainable learning analytics in virtual environments.
Evol. Syst., December, 2025

Improving a Mirror-based Healthcare System for Real-time Estimation of Vital Parameters.
Inf. Syst. Frontiers, October, 2025

Estimating blood pressure using video-based PPG and deep learning.
Image Vis. Comput., 2025

Enhancing the Explainability of Neuro-Fuzzy Systems with Large Language Models: A Case Study on EEG-Based Epileptic Seizure Classification.
Proceedings of the International Joint Conference on Neural Networks, 2025

Enhancing Non-Negative Matrix Factorization Interpretability with Fuzzy Representations.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2025

Exploring the Expressive Power of Large Language Models in Neuro-Fuzzy System Explainability: A Study on EEG-Based Seizure Detection.
Proceedings of the Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024
A New Dataset for Streaming Learning Analytics.
Dataset, October, 2024

Using LLMs to explain AI-generated art classification via Grad-CAM heatmaps.
Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024

Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Prototype-Based Explanations to Improve Understanding of Unsupervised Datasets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Integrating Graph Neural Networks and Fuzzy Logic to Enhance Deep Learning Interpretability.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Explaining Predictions of Hypertension Disease through Anchors.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

A Human-centric Approach to Explain Evolving Data: A Case Study on Education.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

Does Time Matter in Analyzing Educational Data? - A New Dataset for Streaming Learning Analytics.
Proceedings of the Second International Workshop on Artificial INtelligent Systems in Education co-located with 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

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

Leveraging Explainable AI Methods and Tools for Educational Data.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 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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