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A Theoretical Framework for AI Models Explainability with Application in
  Biomedicine

A Theoretical Framework for AI Models Explainability with Application in Biomedicine

29 December 2022
Matteo Rizzo
Alberto Veneri
A. Albarelli
Claudio Lucchese
Marco Nobile
Cristina Conati
    XAI
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Papers citing "A Theoretical Framework for AI Models Explainability with Application in Biomedicine"

4 / 4 papers shown
Title
A constraints-based approach to fully interpretable neural networks for detecting learner behaviors
A constraints-based approach to fully interpretable neural networks for detecting learner behaviors
Juan D. Pinto
Luc Paquette
43
0
0
10 Apr 2025
DARE: Towards Robust Text Explanations in Biomedical and Healthcare
  Applications
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
Adam Ivankay
Mattia Rigotti
P. Frossard
OOD
MedIm
26
1
0
05 Jul 2023
Stop overkilling simple tasks with black-box models and use transparent models instead
Matteo Rizzo
Matteo Marcuzzo
A. Zangari
A. Gasparetto
A. Albarelli
VLM
21
0
0
06 Feb 2023
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
1