An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.

Giulia Vilone; Luca Longo

An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.

Giulia Vilone
, Luca Longo

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Original language	Undefined/Unknown
Title of host publication	xAI (Late-breaking Work, Demos, Doctoral Consortium)
Pages	53-58
Number of pages	6
Publication status	Published - 2023

Access to Document

Cite this

@inproceedings{c1c8cb29f5464f49affb12f2743eeb92,

title = "An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.",

author = "Giulia Vilone and Luca Longo",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2023",

language = "Undefined/Unknown",

pages = "53--58",

booktitle = "xAI (Late-breaking Work, Demos, Doctoral Consortium)",

}

TY - GEN

T1 - An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.

AU - Vilone, Giulia

AU - Longo, Luca

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2023

Y1 - 2023

M3 - Conference proceeding

SP - 53

EP - 58

BT - xAI (Late-breaking Work, Demos, Doctoral Consortium)

ER -