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| Presentation | 2024-02-20 13:45 Fine-tuning Image Classification Model for Diagnosis of Autism Spectrum Disorder Using EEG Data Hiroto Kawahara, Takuya Kitamura (NITT)  ITS2023-70 IE2023-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose and evaluate a classification model generated by fine tuning a pre-trained image classification model for the autism spectrum disorder classification problem using EEG data. At first, EEG data are transformed into spectrograms by a short-time Fourier transform. Next, Using the spectrograms, we extract the feature by fine-tuned model of the pre-trained EfficientNetV2 or Vision Transformer. Finally, the extracted data are classified by support vecotr machine. large scale pre-trained model, the generalization ability can be high even with small training data. We evaluate the effectiveness of the proposed models through computer experiments. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Supprot Vector Machine / Autism Spectrum Disorder / EEG Data / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 381, IE2023-59, pp. 130-134, Feb. 2024. | |
| Paper # | IE2023-59 | |
| Date of Issue | 2024-02-12 (ITS, IE) | |
| 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 | ITS2023-70 IE2023-59 |
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| Conference Information | |
| Committee | ITS IE ITE-MMS ITE-ME ITE-AIT |
| Conference Date | 2024-02-19 - 2024-02-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2024-02-ITS-IE-MMS-ME-AIT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fine-tuning Image Classification Model for Diagnosis of Autism Spectrum Disorder Using EEG Data |
| Sub Title (in English) | |
| Keyword(1) | Supprot Vector Machine |
| Keyword(2) | Autism Spectrum Disorder |
| Keyword(3) | EEG Data |
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| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Hiroto Kawahara |
| 1st Author's Affiliation | National Institute of Technology, Toyama College (NITT) |
| 2nd Author's Name | Takuya Kitamura |
| 2nd Author's Affiliation | National Institute of Technology, Toyama College (NITT) |
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| Speaker | Author-1 |
| Date Time | 2024-02-20 13:45:00 |
| Presentation Time | 15 minutes |
| Registration for | IE |
| Paper # | ITS2023-70, IE2023-59 |
| Volume (vol) | vol.123 |
| Number (no) | no.380(ITS), no.381(IE) |
| Page | pp.130-134 |
| #Pages | 5 |
| Date of Issue | 2024-02-12 (ITS, IE) |
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