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Matteo Rizzo
Matteo Rizzo
PhD in Computer Science, Ca' Foscari University (Venice)
Verified email at unive.it - Homepage
Title
Cited by
Cited by
Year
Fruit ripeness classification: A survey
M Rizzo, M Marcuzzo, A Zangari, A Gasparetto, A Albarelli
Artificial Intelligence in Agriculture 7, 44-57, 2023
382023
Classification of Alzheimer’s disease leveraging multi-task machine learning analysis of speech and eye-movement data
H Jang, T Soroski, M Rizzo, O Barral, A Harisinghani, S Newton-Mason, ...
Frontiers in Human Neuroscience 15, 716670, 2021
142021
Evaluating web-based automatic transcription for Alzheimer speech data: transcript comparison and machine learning analysis
T Soroski, T da Cunha Vasco, S Newton-Mason, S Granby, C Lewis, ...
JMIR aging 5 (3), e33460, 2022
52022
A Theoretical Framework for AI Models Explainability with Application in Biomedicine
M Rizzo, A Veneri, A Albarelli, C Lucchese, M Nobile, C Conati
2023 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2023
42023
A theoretical framework for ai models explainability
M Rizzo, A Veneri, A Albarelli, C Lucchese, C Conati
arXiv preprint arXiv:2212.14447, 2022
32022
Hierarchical Text Classification: a review of current research
A Zangari, M Marcuzzo, M Schiavinato, M Rizzo, A Gasparetto, A Albarelli
EXPERT SYSTEMS WITH APPLICATIONS 224, 2023
22023
Evaluating the faithfulness of saliency-based explanations for deep learning models for temporal colour constancy
M Rizzo, C Conati, D Jang, H Hu
arXiv preprint arXiv:2211.07982, 2022
22022
Cascading convolutional temporal colour constancy
M Rizzo, C Conati, D Jang, H Hu
arXiv preprint arXiv:2106.07955, 2021
22021
Tecnologie digitali e manipolazione del comportamento
S Crafa, M Rizzo
Mondo Digitale 86, 2019-7, 2019
12019
Hierarchical Text Classification and Its Foundations: A Review of Current Research
A Zangari, M Marcuzzo, M Rizzo, L Giudice, A Albarelli, A Gasparetto
Electronics 13 (7), 1199, 2024
2024
Stop overkilling simple tasks with black-box models and use transparent models instead
M Rizzo, M Marcuzzo, A Zangari, A Gasparetto, A Albarelli
arXiv preprint arXiv:2302.02804, 2023
2023
Differentiating memory clinic patients and healthy volunteers using machine‐learning analysis of speech and eye movements during a reading task
T Soroski, O Barral, H Jang, SM Newton‐Mason, S Shajan, P Tutt, ...
Alzheimer's & Dementia 17, e055717, 2021
2021
Digital technologies and behavior manipulation
S Crafa, M Rizzo
MONDO DIGITALE 18 (86), 2019
2019
Stop overkilling simple tasks with black-box models, use more transparent models instead
M Rizzo, M Marcuzzo, A Zangari, A Gasparetto, A Albarelli
Crossing the Divide: Designing Layers of Explainability
M Marcuzzo, M Rizzo, A Albarelli, A Gasparetto
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