Natural language explanations of classifier behavior

Rodrigo Monteiro De Aquino; Fabio Cozman

doi:10.1109/AIKE.2019.00048

Natural language explanations of classifier behavior

Rodrigo Monteiro De Aquino, Fabio Cozman

Resultado de la investigación: Contribución a una conferencia › Artículo de conferencia

1 Cita (Scopus)

Resumen

© 2019 IEEE. Tools that enhance interpretability of classifiers tend to focus on the knowledgeable data scientist. Here we propose techniques that generate textual explanations of the internal behavior of a given classifier, aiming at less technically proficient users of machine learning resources. Our approach has been positively evaluated by a group of users who received its textual output.

Idioma original	Inglés estadounidense
Páginas	239-242
Número de páginas	4
DOI	https://doi.org/10.1109/AIKE.2019.00048
Estado	Publicada - 1 jun. 2019
Publicado de forma externa	Sí
Evento	Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019 - Duración: 1 jun. 2019 → …

Conferencia

Conferencia	Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019
Período	1/06/19 → …

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title = "Natural language explanations of classifier behavior",

abstract = "{\textcopyright} 2019 IEEE. Tools that enhance interpretability of classifiers tend to focus on the knowledgeable data scientist. Here we propose techniques that generate textual explanations of the internal behavior of a given classifier, aiming at less technically proficient users of machine learning resources. Our approach has been positively evaluated by a group of users who received its textual output.",

author = "{Monteiro De Aquino}, Rodrigo and Fabio Cozman",

year = "2019",

month = jun,

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doi = "10.1109/AIKE.2019.00048",

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AB - © 2019 IEEE. Tools that enhance interpretability of classifiers tend to focus on the knowledgeable data scientist. Here we propose techniques that generate textual explanations of the internal behavior of a given classifier, aiming at less technically proficient users of machine learning resources. Our approach has been positively evaluated by a group of users who received its textual output.

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UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85071505579&origin=inward

U2 - 10.1109/AIKE.2019.00048

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T2 - Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019

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Natural language explanations of classifier behavior

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