Enhancing the Value of Counterfactual Explanations for Deep Learning

Yan Jia; John Alexander McDermid; Ibrahim Habli

Enhancing the Value of Counterfactual Explanations for Deep Learning

Yan Jia, John Alexander McDermid, Ibrahim Habli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	AIME 2021 : Artificial Intelligence in Medicine in Europe
Publication status	Published - 15 Jun 2021

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

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This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
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Cite this

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title = "Enhancing the Value of Counterfactual Explanations for Deep Learning",

author = "Yan Jia and McDermid, {John Alexander} and Ibrahim Habli",

note = "This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details",

year = "2021",

month = jun,

day = "15",

language = "English",

booktitle = "AIME 2021 : Artificial Intelligence in Medicine in Europe",

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AU - Habli, Ibrahim

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PY - 2021/6/15

Y1 - 2021/6/15

M3 - Conference contribution

BT - AIME 2021 : Artificial Intelligence in Medicine in Europe

ER -