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Paper Abstract and Keywords
Presentation 2020-11-13 11:35
Method for Constructing Machine Learning Project Canvas based on EA modeling
Hironori Takeuchi (Musashi Univ.), Ito Yu (Mitsubishi Chem.), Shuichiro Yamamoto (Nagoya Univ.) KBSE2020-12 SC2020-16
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
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Reference Info. IEICE Tech. Rep., vol. 120, no. 232, SC2020-16, pp. 20-25, Nov. 2020.
Paper # SC2020-16 
Date of Issue 2020-11-06 (KBSE, SC) 
ISSN Online edition: ISSN 2432-6380
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF KBSE2020-12 SC2020-16

Conference Information
Committee KBSE SC  
Conference Date 2020-11-13 - 2020-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Online + Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2020-11-KBSE-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Method for Constructing Machine Learning Project Canvas based on EA modeling 
Sub Title (in English)  
1st Author's Name Hironori Takeuchi  
1st Author's Affiliation Musashi University (Musashi Univ.)
2nd Author's Name Ito Yu  
2nd Author's Affiliation Mitsubishi Chemical Holdings (Mitsubishi Chem.)
3rd Author's Name Shuichiro Yamamoto  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2020-11-13 11:35:00 
Presentation Time 45 minutes 
Registration for SC 
Paper # KBSE2020-12, SC2020-16 
Volume (vol) vol.120 
Number (no) no.231(KBSE), no.232(SC) 
Page pp.20-25 
Date of Issue 2020-11-06 (KBSE, SC) 

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