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Scopus Author ID: 57194102583
SciProfiles: 551991

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Employment (1)

University of Bari Aldo Moro: Bari, Italy, IT

2018-11-02 to present | PhD Student (Computer Science)
Employment
Source: Self-asserted source
Gianluca Zaza

Education and qualifications (2)

University of Bari Aldo Moro: Bari, Italy, IT

Bachelor degree (Computer Science)
Education
Source: Self-asserted source
Gianluca Zaza

University of Bari Aldo Moro: Bari, Italy, IT

Master's Degree (Coputer Science)
Education
Source: Self-asserted source
Gianluca Zaza

Works (29)

Improving a Mirror-based Healthcare System for Real-time Estimation of Vital Parameters

Information Systems Frontiers
2025-01-04 | Journal article
DOI: 10.1007/s10796-024-10575-x
Contributors: Gabriella Casalino; Giovanna Castellano; Vincenzo Pasquadibisceglie; Gianluca Zaza
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Leveraging Explainable AI Methods and Tools for Educational Data

2024 | Book chapter
DOI: 10.1007/978-3-031-67351-1_7
Contributors: Gabriella Casalino; Giovanna Castellano; Pietro Ducange; Michela Fazzolari; Riccardo Pecori; Gianluca Zaza
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Prototype-Based Explanations to Improve Understanding of Unsupervised Datasets

2024-06-30 | Conference paper
DOI: 10.1109/FUZZ-IEEE60900.2024.10612006
Contributors: Gabriella Casalino; Giovanna Castellano; Katarzyna Kaczmarek-Majer; Gianluca Zaza
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A Human-centric Approach to Explain Evolving Data: A Case Study on Education

2024-01-01 | Conference paper
DOI: 10.1109/EAIS58494.2024.10569098
HANDLE: 11586/502583
EID:

2-s2.0-85199281407

WOSUID:

WOS:001261404700002
Source: check_circle
Università degli Studi di Bari - IRIS

Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring

2024-01-01 | Conference paper
HANDLE: 11586/510120
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Università degli Studi di Bari - IRIS

Does Time Matter in Analyzing Educational Data? - A New Dataset for Streaming Learning Analytics

2024-01-01 | Conference paper
HANDLE: 11586/527020
EID:

2-s2.0-85214223743
Source: check_circle
Università degli Studi di Bari - IRIS

Explaining Predictions of Hypertension Disease through Anchors

2024-01-01 | Conference paper
HANDLE: 11586/521222
EID:

2-s2.0-85210805199
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Università degli Studi di Bari - IRIS

From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation

2024-01-01 | Conference paper
DOI: 10.1109/ijcnn60899.2024.10650146
HANDLE: 11586/505920
EID:

2-s2.0-85205008733
Source: check_circle
Università degli Studi di Bari - IRIS

Integrating Graph Neural Networks and Fuzzy Logic to Enhance Deep Learning Interpretability

2024-01-01 | Conference paper
HANDLE: 11586/521221
EID:

2-s2.0-85210834896
Source: check_circle
Università degli Studi di Bari - IRIS

Neuro-Symbolic AI for Explainable Artwork Classification

2024-01-01 | Conference abstract
HANDLE: 11586/489720
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Università degli Studi di Bari - IRIS

Using LLMs to explain AI-generated art classification via Grad-CAM heatmaps

2024-01-01 | Conference paper
HANDLE: 11586/525540
EID:

2-s2.0-85212223564
Source: check_circle
Università degli Studi di Bari - IRIS

Interpretable Neuro-Fuzzy Models for Stress Prediction

2023 | Book chapter
DOI: 10.1007/978-3-031-39965-7_52
Contributors: Gabriella Casalino; Giovanna Castellano; Gianluca Zaza
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Evaluating the robustness of a contact-less mHealth solution for personal and remote monitoring of blood oxygen saturation

Journal of Ambient Intelligence and Humanized Computing
2023-07 | Journal article
DOI: 10.1007/s12652-021-03635-6
Contributors: Gabriella Casalino; Giovanna Castellano; Gianluca Zaza
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Explainable Fuzzy Models for Learning Analytics

2023-01-01 | Book chapter
DOI: 10.1007/978-3-031-35501-1_40
HANDLE: 11586/505820
EID:

2-s2.0-85164252844
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Università degli Studi di Bari - IRIS
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Neuro-Fuzzy Systems for Learning Analytics

2022 | Book chapter
DOI: 10.1007/978-3-030-96308-8_124
Contributors: Gabriella Casalino; Giovanna Castellano; Gianluca Zaza
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A mobile app for contactless measurement of vital signs through remote Photoplethysmography

2022-01-01 | Conference paper
DOI: 10.1109/SMC53654.2022.9945406
HANDLE: 11586/413716
EID:

2-s2.0-85142691967
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Università degli Studi di Bari - IRIS

Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment

2021-12-05 | Conference paper
DOI: 10.1109/SSCI50451.2021.9660104
Contributors: Gabriella Casalino; Giovanna Castellano; Uzay Kaymak; Gianluca Zaza
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Crossref

Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment

2021-01-01 | Conference paper
DOI:

11586/383841

HANDLE: 11586/383841
EID:

11586/383841

WOSUID:

11586/383841
Source: check_circle
Università degli Studi di Bari - IRIS

On the use of FIS inside a Telehealth system for cardiovascular risk monitoring

2021-01-01 | Conference paper
DOI: 10.1109/MED51440.2021.9480180
HANDLE: 11586/413730
EID:

2-s2.0-85113696451

WOSUID:

WOS:000811823100025
Source: check_circle
Università degli Studi di Bari - IRIS

Segmentation of remotely sensed images with a neuro-fuzzy inference system

2021-01-01 | Conference paper
HANDLE: 11586/380789
EID:

2-s2.0-85123294999
Source: check_circle
Università degli Studi di Bari - IRIS

Using an adaptive neuro-fuzzy inference system for the classification of hypertension

2021-01-01 | Conference paper
HANDLE: 11586/384603
EID:

2-s2.0-85123273889
Source: check_circle
Università degli Studi di Bari - IRIS

A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease

2020-01-01 | Conference paper
DOI: 10.1109/EAIS48028.2020.9122750
HANDLE: 11586/314608
EID:

2-s2.0-85088136583

WOSUID:

WOS:000619398100014
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Università degli Studi di Bari - IRIS

A mHealth solution for contact-less self-monitoring of blood oxygen saturation

2020-01-01 | Conference paper
DOI: 10.1109/ISCC50000.2020.9219718
HANDLE: 11586/314847
EID:

2-s2.0-85094110697

WOSUID:

WOS:000652570900130
Source: check_circle
Università degli Studi di Bari - IRIS

Evaluating end-user perception towards a cardiac self-care monitoring process

2020-01-01 | Conference paper
DOI: 10.1007/978-3-030-49289-2_4
HANDLE: 11586/299857
EID:

2-s2.0-85086144653
Source: check_circle
Università degli Studi di Bari - IRIS

A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | Book
DOI: 10.1007/978-3-030-12544-8_8
EID:

2-s2.0-85062792173
Contributors: Casalino, G.; Castellano, G.; Castiello, C.; Pasquadibisceglie, V.; Zaza, G.
Source: Self-asserted source
Gianluca Zaza via Scopus - Elsevier
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Monitoring Cardiovascular Risk by Video Processing and Fuzzy Rules

2019-01-01 | Conference paper
HANDLE: 11586/251656
Source: check_circle
Università degli Studi di Bari - IRIS

A personal healthcare system for contact-less estimation of cardiovascular parameters

2018 110th AEIT International Annual Conference, AEIT 2018
2018 | Conference paper
DOI: 10.23919/AEIT.2018.8577458
EID:

2-s2.0-85060312898
Contributors: Pasquadibisceglie, V.; Zaza, G.; Castellano, G.
Source: Self-asserted source
Gianluca Zaza via Scopus - Elsevier
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Contact-less real-time monitoring of cardiovascular risk using video imaging and fuzzy inference rules

Information (Switzerland)
2018 | Journal article
DOI: 10.3390/info10010009
EID:

2-s2.0-85059517764
Contributors: Casalino, G.; Castellano, G.; Pasquadibisceglie, V.; Zaza, G.
Source: Self-asserted source
Gianluca Zaza via Scopus - Elsevier
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FISDeT: Fuzzy inference system development tool

International Journal of Computational Intelligence Systems
2017 | Journal article
DOI: 10.2991/ijcis.2017.10.1.2
EID:

2-s2.0-85018771345
Contributors: Castellano, G.; Castiello, C.; Pasquadibisceglie, V.; Zaza, G.
Source: Self-asserted source
Gianluca Zaza via Scopus - Elsevier
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