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Paper Abstract and Keywords
Presentation 2024-06-20 14:20
Anomaly Detection in the Frequency Domain with Statistical Reliability
Akifumi Yamada, Kouichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2024-7 IBISML2024-7
Abstract (in Japanese) (See Japanese page) 
(in English) There are many applications of artificial intelligence (AI) in the field of anomaly detection in the frequency domain for time series sensor data from machinery and equipment. However, False Positive Rate (FPR) cannot be controlled when the same data is used for both anomaly detection (data-driven hypothesis generation) and its testing. Therefore, we use Selective Inference (SI) framework to quantitatively evaluate the results of frequency anomaly detection and show that our proposed method guarantees the statistical reliability for the anomaly detection in terms of precisely controlling the False Positive Rate.
Keyword (in Japanese) (See Japanese page) 
(in English) Selective Inference / Hypothesis Testing / Time Series Data / Time - Frequency Analysis / Anomaly Detection / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 86, IBISML2024-7, pp. 43-50, June 2024.
Paper # IBISML2024-7 
Date of Issue 2024-06-13 (NC, IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2024-7 IBISML2024-7

Conference Information
Committee IBISML NC IPSJ-BIO IPSJ-MPS  
Conference Date 2024-06-20 - 2024-06-22 
Place (in Japanese) (See Japanese page) 
Place (in English) OIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2024-06-IBISML-NC-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Anomaly Detection in the Frequency Domain with Statistical Reliability 
Sub Title (in English)  
Keyword(1) Selective Inference  
Keyword(2) Hypothesis Testing  
Keyword(3) Time Series Data  
Keyword(4) Time - Frequency Analysis  
Keyword(5) Anomaly Detection  
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Keyword(7)  
Keyword(8)  
1st Author's Name Akifumi Yamada  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Kouichi Taji  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Ichiro Takeuchi  
3rd Author's Affiliation Nagoya University/RIKEN (Nagoya Univ./RIKEN)
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Speaker Author-1 
Date Time 2024-06-20 14:20:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2024-7, IBISML2024-7 
Volume (vol) vol.124 
Number (no) no.85(NC), no.86(IBISML) 
Page pp.43-50 
#Pages 8 
Date of Issue 2024-06-13 (NC, IBISML) 

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