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The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image
  Classifiers

The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers

26 July 2023
Meike Nauta
Christin Seifert
ArXivPDFHTML

Papers citing "The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers"

7 / 7 papers shown
Title
XEQ Scale for Evaluating XAI Experience Quality
XEQ Scale for Evaluating XAI Experience Quality
A. Wijekoon
Nirmalie Wiratunga
D. Corsar
Kyle Martin
Ikechukwu Nkisi-Orji
Belén Díaz-Agudo
Derek Bridge
44
2
0
20 Jan 2025
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for
  Alzheimer's Disease classification
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
Lisa Anita De Santi
Jorg Schlotterer
Meike Nauta
Vincenzo Positano
Christin Seifert
27
2
0
19 Jul 2024
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Qi Huang
Emanuele Mezzi
Osman Mutlu
Miltiadis Kofinas
Vidya Prasad
Shadnan Azwad Khan
Elena Ranguelova
N. V. Stein
45
0
0
17 Jul 2024
Knowledge Distillation to Ensemble Global and Interpretable
  Prototype-Based Mammogram Classification Models
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
Chong Wang
Yuanhong Chen
Yuyuan Liu
Yu Tian
Fengbei Liu
Davis J. McCarthy
M. Elliott
Helen Frazer
G. Carneiro
41
19
0
26 Sep 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
58
114
0
06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes
  Assignment
Interpretable Image Classification with Differentiable Prototypes Assignment
Dawid Rymarczyk
Lukasz Struski
Michal Górszczak
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
31
98
0
06 Dec 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
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