ciu.image: An R Package for Explaining Image Classification with Contextual Importance and Utility

Kary Främling*, Samanta Knapic̆, Avleen Malhi

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

18 Lataukset (Pure)

Abstrakti

Many techniques have been proposed in recent years that attempt to explain results of image classifiers, notably for the case when the classifier is a deep neural network. This paper presents an implementation of the Contextual Importance and Utility method for explaining image classifications. It is an R package that can be used with the most usual image classification models. The paper shows results for typical benchmark images, as well as for a medical data set of gastro-enterological images. For comparison, results produced by the LIME method are included. Results show that CIU produces similar or better results than LIME with significantly shorter calculation times. However, the main purpose of this paper is to bring the existence of this package to general knowledge and use, rather than comparing with other explanation methods.

AlkuperäiskieliEnglanti
OtsikkoExplainable and Transparent AI and Multi-Agent Systems - 3rd International Workshop, EXTRAAMAS 2021, Revised Selected Papers
ToimittajatDavide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling
Sivut55-62
Sivumäärä8
DOI - pysyväislinkit
TilaJulkaistu - 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Workshop on Explainable, Transparent AI and Multi-Agent Systems - Virtual, Online
Kesto: 3 toukok. 20217 toukok. 2021
Konferenssinumero: 3

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
KustantajaSpringer
Vuosikerta12688 LNAI
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Workshop

WorkshopInternational Workshop on Explainable, Transparent AI and Multi-Agent Systems
LyhennettäEXTRAAMAS
KaupunkiVirtual, Online
Ajanjakso03/05/202107/05/2021

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