Art
J-GLOBAL ID：201902269034490803   Reference number：19A2396069

Explanation of frequency domain features contributing to EEG classification using integrated gradients

勾配積分法に基づく脳波識別に貢献した周波数領域特徴の説明
Author (4)：
TACHIKAWA KAZUKI

About TACHIKAWA KAZUKI

(大阪大 大学院工学研究科)

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, 
KAWAI YUJI

About KAWAI YUJI

(大阪大 先導的学際研究機構)

About 大阪大 先導的学際研究機構

, 
PARK Jihoon

About PARK Jihoon

(大阪大 先導的学際研究機構)

About 大阪大 先導的学際研究機構

, 
ASADA MINORU

About ASADA MINORU

(大阪大 先導的学際研究機構)

About 大阪大 先導的学際研究機構


Material：
人工知能学会全国大会論文集(Web)  (Proceedings of the Annual Conference of JSAI (Web))

About 人工知能学会全国大会論文集(Web)


Volume： 33rd  Page： ROMBUNNO.2Q3-J-2-03 (WEB ONLY)  Publication year： 2019 
JST Material Number： U1701A  ISSN： 2758-7347  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： JAPANESE (JA)
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*electroencephalogram

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,...
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*deep learning

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,...
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JST classification (3)：
JST classification
Category name(code) classified by JST.
Biometry 
(EL03020C)

About Biometry

,  Artificial intelligence 
(JE08000Z)

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,  Neurocomputers 
(JC06010Q)

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Terms in the title (6)：
Terms in the title
Keywords automatically extracted from the title.
勾配

About 勾配

, 
積分法

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, 
脳波

About 脳波

, 
識別

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, 
周波数領域

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, 
説明

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