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Interactive Naming for Explaining Deep Neural Networks: A Formative
  Study

Interactive Naming for Explaining Deep Neural Networks: A Formative Study

18 December 2018
M. Hamidi-Haines
Zhongang Qi
Alan Fern
Fuxin Li
Prasad Tadepalli
    FAtt
    HAI
ArXivPDFHTML

Papers citing "Interactive Naming for Explaining Deep Neural Networks: A Formative Study"

6 / 6 papers shown
Title
Understanding User Preferences in Explainable Artificial Intelligence: A
  Survey and a Mapping Function Proposal
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
M. Hashemi
Ali Darejeh
Francisco Cruz
42
3
0
07 Feb 2023
From Heatmaps to Structural Explanations of Image Classifiers
From Heatmaps to Structural Explanations of Image Classifiers
Li Fuxin
Zhongang Qi
Saeed Khorram
Vivswan Shitole
Prasad Tadepalli
Minsuk Kahng
Alan Fern
XAI
FAtt
23
4
0
13 Sep 2021
Debiasing Concept-based Explanations with Causal Analysis
Debiasing Concept-based Explanations with Causal Analysis
M. T. Bahadori
David Heckerman
FAtt
CML
19
38
0
22 Jul 2020
Explainable Artificial Intelligence: a Systematic Review
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone
Luca Longo
XAI
28
266
0
29 May 2020
Do ML Experts Discuss Explainability for AI Systems? A discussion case
  in the industry for a domain-specific solution
Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution
J. Ferreira
Mateus de Souza Monteiro
19
7
0
27 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for
  Sequential Decision-Making Problems with Inscrutable Representations
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
76
30
0
04 Feb 2020
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