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Evidential Concept Embedding Models: Towards Reliable Concept
  Explanations for Skin Disease Diagnosis

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

27 June 2024
Yibo Gao
Zheyao Gao
Xin Gao
Yuanye Liu
Bomin Wang
Xiahai Zhuang
ArXivPDFHTML

Papers citing "Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis"

5 / 5 papers shown
Title
Leakage and Interpretability in Concept-Based Models
Leakage and Interpretability in Concept-Based Models
Enrico Parisini
Tapabrata Chakraborti
Chris Harbron
Ben D. MacArthur
Christopher R. S. Banerji
33
0
0
18 Apr 2025
BayeSeg: Bayesian Modeling for Medical Image Segmentation with
  Interpretable Generalizability
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
Shangqi Gao
Hang Zhou
Yibo Gao
Xiahai Zhuang
OOD
35
3
0
03 Mar 2023
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
183
0
31 May 2022
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
104
180
0
20 Apr 2021
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
137
656
0
28 Dec 2020
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