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Advances in Artificial Intelligence

Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2021)

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Yasufumi Takama

    1. Graduate School of System Design, Tokyo Metropolitan University, Hino, Japan

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  2. Naohiro Matsumura

    1. Graduate School of Economics, Osaka University, Toyonaka, Japan

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  3. Katsutoshi Yada

    1. Faculty of Business and Commerce, Kansai University, Osaka, Japan

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  4. Mitsunori Matsushita

    1. Faculty of Informatics, Kansai University, Takatsuki, Japan

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  5. Daisuke Katagami

    1. Department of Applied Computer Science, Tokyo Polytechnic University, Atsugi, Japan

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  6. Akinori Abe

    1. Division of Behavioral Science, Chiba University, Chiba, Japan

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  7. Hisashi Kashima

    1. Department of Intelligence Science and Technology, Kyoto University, Kyoto, Japan

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  8. Toshihiro Hiraoka

    1. Institute of Industrial Science, The University of Tokyo, Meguro-ku, Japan

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  9. Takahiro Uchiya

    1. Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan

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  10. Rafal Rzepka

    1. Graduate School of Information Science and Technology Sapporo Hokkaido Japan, Hokkaido University, Sapporo, Japan

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  • Contains recent research in artificial intelligence
  • Presents the selected papers presented at the Annual Conference of Japanese Society of Artificial Intelligence
  • Has written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1423)

Included in the following conference series:

Conference proceedings info: JSAI 2021.

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About this book

This book contains extended versions of research papers presented at the international sessions at the 35th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2021), which was held online from June 8–11, 2021. The JSAI annual conferences are considered key events for our organization, and the international sessions held at these conferences play a key role for the society in its efforts to share Japan’s research on artificial intelligence with other countries. The topics of the international sessions in JSAI2021 cover five categories: knowledge engineering, machine learning, agents, robots and real worlds, and human interface and education aid. From the papers submitted to those categories, papers of high quality were selected through the strict reviewing procedure. As a result, 19 papers are included in this book. From this book, readers can get an overview of recent Japan’s research on artificial intelligence.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Machine Reading Comprehension of News on Stock Price Changes

    • Seiji Suzuki, Gakuto Tsutsumi, Takehito Utsuro
    Pages 1-12

  3. A Deep Fusion Model Combining News Content and Historical Prices for Stock Trend Prediction

    • Jenq-Haur Wang, Hsin-Wen Liu
    Pages 13-26

  4. Generating Search Text Ads from Keywords and Landing Pages via BERT2BERT

    • Kota Ishizuka, Kai Kurogi, Kosuke Kawakami, Daishi Iwai, Kazuhide Nakata
    Pages 27-33

  5. Machine Translation Utilizing Similar Translation Retrieval

    • Takuya Tamura, Yizhen Wei, Takehito Utsuro, Masaaki Nagata
    Pages 34-44

  6. Automatic Utterance Selection Based on Prosodic Features of Children’s Vocalizations

    • Yuki Kubo, Natsuki Oka, Subaru Hanada, Kazuaki Tanaka, Tomomi Takahashi
    Pages 45-56

  7. Facial Conditional Translation Using Multi-CartoonGAN with Central Biasing Instance Normalization

    • Rina Komatsu, Tad Gonsalves
    Pages 57-68

  8. Styled Comic Portrait Synthesis Based on GAN

    • Yen-Chia Chen, Lieu-Hen Chen, Hiroki Shibata, Yasufumi Takama
    Pages 69-80

  9. Road Surface Translation Under Snow-Covered and Semantic Segmentation for Snow Hazard Index

    • Takato Yasuno, Hiroaki Sugawara, Junichiro Fujii
    Pages 81-93

  10. Generation of Infographics Considering Information Recipients

    • Shota Miyoshi, Yuji Nozaki, Maki Sakamoto
    Pages 94-105

  11. The Best Place in Tokyo for Anything: Classifying Stations by Walkability to Specific Amenities

    • Aaron Bramson, Megumi Hori
    Pages 106-117

  12. Gaze Analysis on the Effect of Intervention on Ruminative Web Browsing

    • Giri Basanta Raj, Junya Morita, Thanakit Pitakchokchai
    Pages 118-129

  13. Estimating Children’s Intrinsic Motivation During a Class Based on Face Orientation and Gaze Information

    • Keisuke Morita, Natsuki Oka, Kazuaki Tanaka, Masahiro Miyata, Takashi Omori
    Pages 130-141

  14. Recognising Flexible Intents and Multiple Domains in Extended Human-Robot Dialogues

    • Graham Wilcock
    Pages 142-153

  15. Survey of the VR Environment for Deep Learning Model Development

    • Taisei Naraha, Kouta Akimoto, Ikuko Eguchi Yairi
    Pages 154-164

  16. Design and Implementation of a SWI-Prolog-Based Expert System to Diagnose Anxiety Disorder

    • Kairen Chen, Che-Chern Lin
    Pages 165-177

  17. RandECG: Data Augmentation for Deep Neural Network Based ECG Classification

    • Naoki Nonaka, Jun Seita
    Pages 178-189

  18. Integration and Interaction of Trustworthy AI in a Virtual Coach – An Overview of EU-Japan Collaboration on Eldercare

    • Kristiina Jokinen, Keiko Homma, Yoshio Matsumoto, Ken Fukuda
    Pages 190-200

  19. Anti-Drug Buddy: A Chatbot for Advocating the Awareness of Anti-Drug

    • Lieu-Hen Chen, Eric Hsiaokuang Wu, Chih-Chieh Yang, Ting-Yu Gao, Li-Hsien Tang
    Pages 201-212

  20. Metagenome Analysis of Two River Microbial Flora for Modeling River Microbial Diversity

    • Jin Michel Ogawa, Ikuko Eguchi Yairi
    Pages 213-223
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Editors and Affiliations

  • Graduate School of System Design, Tokyo Metropolitan University, Hino, Japan

    Yasufumi Takama

  • Graduate School of Economics, Osaka University, Toyonaka, Japan

    Naohiro Matsumura

  • Faculty of Business and Commerce, Kansai University, Osaka, Japan

    Katsutoshi Yada

  • Faculty of Informatics, Kansai University, Takatsuki, Japan

    Mitsunori Matsushita

  • Department of Applied Computer Science, Tokyo Polytechnic University, Atsugi, Japan

    Daisuke Katagami

  • Division of Behavioral Science, Chiba University, Chiba, Japan

    Akinori Abe

  • Department of Intelligence Science and Technology, Kyoto University, Kyoto, Japan

    Hisashi Kashima

  • Institute of Industrial Science, The University of Tokyo, Meguro-ku, Japan

    Toshihiro Hiraoka

  • Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan

    Takahiro Uchiya

  • Graduate School of Information Science and Technology Sapporo Hokkaido Japan, Hokkaido University, Sapporo, Japan

    Rafal Rzepka

Bibliographic Information

  • Book Title: Advances in Artificial Intelligence

  • Book Subtitle: Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2021)

  • Editors: Yasufumi Takama, Naohiro Matsumura, Katsutoshi Yada, Mitsunori Matsushita, Daisuke Katagami, Akinori Abe, Hisashi Kashima, Toshihiro Hiraoka, Takahiro Uchiya, … Rafal Rzepka

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-96451-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-96450-4Published: 26 February 2022

  • eBook ISBN: 978-3-030-96451-1Published: 25 February 2022

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: X, 226

  • Number of Illustrations: 43 b/w illustrations, 112 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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