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Argument Attribution Explanations in Quantitative Bipolar Argumentation
  Frameworks (Technical Report)

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)

25 July 2023
Xiang Yin
Nico Potyka
Francesca Toni
ArXivPDFHTML

Papers citing "Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)"

13 / 13 papers shown
Title
What Makes a Good Explanation?: A Harmonized View of Properties of
  Explanations
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
58
19
0
10 Nov 2022
Towards a Theory of Faithfulness: Faithful Explanations of
  Differentiable Classifiers over Continuous Data
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data
Nico Potyka
Xiang Yin
Francesca Toni
FAtt
99
2
0
19 May 2022
Argumentative XAI: A Survey
Argumentative XAI: A Survey
Kristijonas vCyras
Antonio Rago
Emanuele Albini
P. Baroni
Francesca Toni
52
144
0
24 May 2021
Deep Argumentative Explanations
Deep Argumentative Explanations
Emanuele Albini
Piyawat Lertvittayakumjorn
Antonio Rago
Francesca Toni
AAML
41
5
0
10 Dec 2020
Interpreting Neural Networks as Gradual Argumentation Frameworks
  (Including Proof Appendix)
Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix)
Nico Potyka
AI4CE
98
50
0
10 Dec 2020
Explaining by Removing: A Unified Framework for Model Explanation
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
85
248
0
21 Nov 2020
Modular Semantics and Characteristics for Bipolar Weighted Argumentation
  Graphs
Modular Semantics and Characteristics for Bipolar Weighted Argumentation Graphs
Till Mossakowski
Fabian Neuhaus
30
35
0
17 Jul 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.0K
21,815
0
22 May 2017
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
184
3,865
0
10 Apr 2017
Not Just a Black Box: Learning Important Features Through Propagating
  Activation Differences
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Shcherbina
A. Kundaje
FAtt
80
786
0
05 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.1K
16,931
0
16 Feb 2016
Attacker and Defender Counting Approach for Abstract Argumentation
Attacker and Defender Counting Approach for Abstract Argumentation
Fuan Pu
Jian Luo
Yulai Zhang
G. Luo
25
17
0
13 Jun 2015
How to Explain Individual Classification Decisions
How to Explain Individual Classification Decisions
D. Baehrens
T. Schroeter
Stefan Harmeling
M. Kawanabe
K. Hansen
K. Müller
FAtt
126
1,102
0
06 Dec 2009
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