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Explaining Models by Propagating Shapley Values of Local Components

Explaining Models by Propagating Shapley Values of Local Components

27 November 2019
Hugh Chen
Scott M. Lundberg
Su-In Lee
    FAttFedML
ArXiv (abs)PDFHTML

Papers citing "Explaining Models by Propagating Shapley Values of Local Components"

22 / 22 papers shown
Title
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
Gijs Vermariën
Serena Viti
Johannes Heyl
Francesco Fontani
39
0
0
13 May 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
143
2
0
14 Feb 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Ruitao Xie
Jingbang Chen
Limai Jiang
Rui Xiao
Yi-Lun Pan
Yunpeng Cai
242
5
0
31 Dec 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Suryansh Vidya
Kush Gupta
Amir Aly
Andy Wills
Emmanuel Ifeachor
Rohit Shankar
134
1
0
19 Sep 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
Evandro S. Ortigossa
Fábio F. Dias
Brian Barr
Claudio T. Silva
L. G. Nonato
FAtt
167
3
0
25 Apr 2024
A New Baseline Assumption of Integated Gradients Based on Shaply value
A New Baseline Assumption of Integated Gradients Based on Shaply value
Shuyang Liu
Zixuan Chen
Ge Shi
Ji Wang
Changjie Fan
Yu Xiong
Runze Wu Yujing Hu
Ze Ji
Yang Gao
59
3
0
07 Oct 2023
On marginal feature attributions of tree-based models
On marginal feature attributions of tree-based models
Khashayar Filom
A. Miroshnikov
Konstandinos Kotsiopoulos
Arjun Ravi Kannan
FAtt
76
3
0
16 Feb 2023
A $k$-additive Choquet integral-based approach to approximate the SHAP
  values for local interpretability in machine learning
A kkk-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
G. D. Pelegrina
L. Duarte
M. Grabisch
FAttTDI
76
31
0
03 Nov 2022
Psychophysiological Arousal in Young Children Who Stutter: An
  Interpretable AI Approach
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach
Harshit Sharma
Yi Xiao
V. Tumanova
Asif Salekin
56
7
0
03 Aug 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A
  Survey
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök
Feyza Yıldırım Okay
Özgecan Muyanlı
S. Özdemir
XAI
74
55
0
07 Jun 2022
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN
G. Tahir
Tahir Chu
54
2
0
15 May 2022
HINT: Hierarchical Neuron Concept Explainer
HINT: Hierarchical Neuron Concept Explainer
Andong Wang
Wei-Ning Lee
Xiaojuan Qi
64
19
0
27 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the
  Poverty and Welfare Domain
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain
Ola Hall
Mattias Ohlsson
Thortseinn Rögnvaldsson
52
8
0
02 Mar 2022
Towards Zero-shot Sign Language Recognition
Towards Zero-shot Sign Language Recognition
Yunus Can Bilge
R. G. Cinbis
Nazli Ikizler-Cinbis
SLR
56
36
0
15 Jan 2022
Explaining a Series of Models by Propagating Shapley Values
Explaining a Series of Models by Propagating Shapley Values
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDIFAtt
98
139
0
30 Apr 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and
  Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang
Qinghao Ye
Jun Xia
141
505
0
03 Feb 2021
Uncertainty aware and explainable diagnosis of retinal disease
Uncertainty aware and explainable diagnosis of retinal disease
Amitojdeep Singh
S. Sengupta
M. Rasheed
Varadharajan Jayakumar
Vasudevan Lakshminarayanan
BDL
53
21
0
26 Jan 2021
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual
  Explanation Baselines
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines
Sheng-Min Shih
Pin-Ju Tien
Zohar Karnin
FAtt
86
14
0
11 Nov 2020
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
Lei He
Nabil Aouf
Bifeng Song
58
11
0
30 Sep 2020
Quantitative and Qualitative Evaluation of Explainable Deep Learning
  Methods for Ophthalmic Diagnosis
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis
Amitojdeep Singh
J. Balaji
M. Rasheed
Varadharajan Jayakumar
R. Raman
Vasudevan Lakshminarayanan
BDLXAIFAtt
57
29
0
26 Sep 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
102
502
0
28 May 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
270
6,386
0
22 Oct 2019
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