A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.

Giulia Vilone; Lucas Rizzo; Luca Longo

A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.

Giulia Vilone
, Lucas Rizzo
, 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	AICS
Pages	85-96
Number of pages	12
Publication status	Published - 2020

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title = "A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.",

author = "Giulia Vilone and Lucas Rizzo 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 = "2020",

language = "Undefined/Unknown",

pages = "85--96",

booktitle = "AICS",

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TY - GEN

T1 - A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.

AU - Vilone, Giulia

AU - Rizzo, Lucas

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 - 2020

Y1 - 2020

M3 - Conference proceeding

SP - 85

EP - 96

BT - AICS

ER -