Conference Date |
Fri, May 28, 2021 09:40 - 18:25 |
Topics |
Cyber-Physical-Social System、IOT, Machine Learning Application, etc general |
Conference Place |
Online (In spite of being a hybrid event initially, the venue of the University of Aizu must be closed due to the current situation regards to COVID-19. All of visitors must use the online, only.) |
Sponsors |
Special Interest Group on Machine Learning Systems Engineering, Japan Society for Software Science and Technology (JSSST), IEEE Sendai Section
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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) |
Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on SC. |
Fri, May 28 AM Intelligent Service Application Chair: Fuyuki Ishikawa (国立情報学研究所) 09:30 - 11:45 |
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09:30-09:40 |
Opening Message (UoA, MLSE) ( 10 min. ) |
(1) |
09:40-10:05 |
Personal and Intuitive Indoor Navigation System based on Digital Twin SC2021-1 |
Toru Kobayashi, Yoshifumi Onimaru, Kazuki Fukae, Tetsuo Imai, Kenichi Arai (Nagasaki Univ.), Eisuke Nakazawa, Tomohito Suzuki (DENSO WAVE Inc.) |
(2) |
10:05-10:30 |
Home Evacuee Support: Study of System to Support Home Evacuee by Voice Conversation AI SC2021-2 |
Yoji Ozawa, Yusuke Arai, Elserafy Hatem, Jayesh Guntupalli, Chaudhari Pritam Jaywant, Darshan Dharmendra Chawda (Hitachi) |
(3) |
10:30-10:55 |
Service Authentication Proxy for Accelerating API Development SC2021-3 |
Rina Ueno, Nariyuki Saito, Hiroshi Nasu, Yu Nakata (Hitachi) |
(4) |
10:55-11:20 |
Ontology and Rule for Repository to Share Knowledge of Deep Learning Architectures SC2021-4 |
Incheon Paik (UoA) |
(5) |
11:20-11:45 |
Application of representation learning techniques to reinforcement learning problems with non-image states SC2021-5 |
Shunichi Akatsuka, Susumu Serita, Toshihiro Kujirai (Hitachi) |
|
11:45-13:15 |
Lunch Break ( 90 min. ) |
Fri, May 28 PM Invited Lecture Chair: Shinji Kikuchi (NIMS) 13:15 - 14:15 |
(6) |
13:15-14:15 |
Invited Lecture:
On realizing an independent and decentralized society through Smart City.
- Digital Innovation led by citizens and communities -
Mr. Shojiro Nakamura
Managing Director – Accenture Innovation Center Fukushima Center Co-Lead |
|
14:15-14:25 |
Break ( 10 min. ) |
Fri, May 28 PM Machine Learning Application Chair: Masahide Nakamura (Kobe Univ.) 14:25 - 16:05 |
(7) |
14:25-14:50 |
ML Model Management Technology for ML-based IT Operations
-- MLOps for ML-based IT Operations -- SC2021-6 |
Yasutaka Kono (Hitachi) |
(8) |
14:50-15:15 |
Considerations for preventing interference in autonomous operation programs SC2021-7 |
Masayuki Kakida (Hitachi) |
(9) |
15:15-15:40 |
Local-location and short-term solar power forecast system for marine environment observation devices SC2021-8 |
Tetsuo Imai (Hiroshima City Univ.), Satoshi Ichimaru, Kenichi Arai, Toru Kobayashi (Nagasaki Univ.) |
(10) |
15:40-16:05 |
Accuracy improvement technology on event classification utilizing machine learning in IT operation SC2021-9 |
Taku Okamura, Takashi Tameshige (Hitachi) |
|
16:05-16:15 |
Break ( 10 min. ) |
Fri, May 28 PM Lightening Talk, Poster Presenation Chair: Kosaku Kimura (Fujitsu Co.) 16:15 - 18:25 |
(11) |
16:15-16:17 |
[Poster Presentation]
Improving Machine Translation using Sentence Augmentation by GPT-2 SC2021-10 |
Ranto Sawai, Incheon Paik (UoA) |
(12) |
16:17-16:19 |
[Poster Presentation]
Classification Performance of Special Domain Twitter Message with Deep Learning Word Embeddings |
Ryoya Ito, Incheon Paik (UoA) |
(13) |
16:19-16:21 |
[Poster Presentation]
Comparison of Word Representation Methods for Sentiment Classification with Twitter Data |
Takahiro Yamauchi, Incheon Paik, Cherubin Mugisha (UoA) |
(14) |
16:21-16:23 |
[Poster Presentation]
Improving Code Generation with Code Graph based on Ontology |
Jun-Wei Wang, Incheon Paik (UoA) |
(15) |
16:23-16:25 |
[Poster Presentation]
Comparison of Pre-trained Neural Language modeling pipelines for patient?s outcome prediction from medical text notes. |
Cherubin Mugisha, Incheon Paik (UoA) |
(16) |
16:25-16:27 |
[Poster Presentation]
Generation of New Question and Answer using Extracted Ontology and Neural Language Model from SQuAD Data Set |
Ayato Kuwana, Paik Incheon (UoA) |
(17) |
16:27-16:29 |
[Poster Presentation]
Evaluation of Few-Shot Learning for Adaptive Classification of GAN-Generated Images |
Kohei Watanabe, Kungan Zeng, Incheon Paik (UoA) |
(18) |
16:29-16:31 |
[Poster Presentation]
Dynamic Service Recommendation in Edge Computing by Lightweight BERT-based Service Embedding |
Kungan Zeng, Incheon Paik (UoA) |
(19) |
16:31-16:33 |
[Poster Presentation]
Multi-modal Neural Style Transfer |
Nguyen Quang Tuyen (UoA), Dinh Quang Vinh (VGU), Incheon Paik (UoA) |
(20) |
16:35-17:20 |
Parallel Poster Session (By Discord)
- Discord Address for the Session:
https://discord.gg/ZZYujzaZny
* Parallel Session - First Half (16:35 - 17:00)
- Improving Machine Translation using Sentence Augmentation by GPT-2 ○Ranto Sawai・Incheon Paik(UoA)
- Classification Performance of Special Domain Twitter Message with Deep Learning Word Embeddings Ryoya Ito・○Incheon Paik(UoA)
- Comparison of Word Representation Methods for Sentiment Classification with Twitter Data Takahiro Yamauchi・Incheon Paik・○Cherubin Mugisha(UoA)
- Improving Code Generation with Code Graph based on Ontology ○Jun-Wei Wang・Incheon Paik(UoA)
- Evaluation of Few-Shot Learning for Adaptive Classification of GAN-Generated Images Kohei Watanabe・○Kungan Zeng・Incheon Paik(UoA)
* Parallel Session - Second Half (17:00 - 17:20)
- Comparison of Pre-trained Neural Language modeling pipelines for patient's outcome prediction from medical text notes. ○Cherubin Mugisha・Incheon Paik(UoA)
- SQuADデータセットから抽出したオントロジーとニューラル言語モデルを用いた新しい質問と回答の生成 ○桑名絢士・白 寅天(会津大)
- Dynamic Service Recommendation in Edge Computing by Lightweight BERT-based Service Embedding ○Kungan Zeng・Incheon Paik(UoA)
- Multi-modal Neural Style Transfer ○Nguyen Quang Tuyen(UoA)・Dinh Quang Vinh(VGU)・Incheon Paik(UoA) |
|
17:20-17:25 |
Closing Address ( 5 min. ) |
(21) |
17:25-18:25 |
Online Dinner Party |