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Advances in Artificial Intelligence

Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020)

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Katsutoshi Yada

    1. Kansai University, Suita, Japan

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  2. Daisuke Katagami

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

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  3. Yasufumi Takama

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

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  4. Takayuki Ito

    1. Department of Social Informatics, Kyoto University, Kyoto, Japan

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  5. Akinori Abe

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

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  6. Eri Sato-Shimokawara

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

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  7. Junichiro Mori

    1. Mathematics and Informatics Center, The University of Tokyo, Tokyo, Japan

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  8. Naohiro Matsumura

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

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  9. Hisashi Kashima

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

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

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1357)

Included in the following conference series:

Conference proceedings info: JSAI 2020.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. A Node Classification Approach for Dynamically Extracting the Structures of Online Discussions

    • Shota Suzuki, Takayuki Ito, Ahmed Moustafa, Rafik Hadfi
    Pages 1-12

  3. Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment

    • Goh Sato, Takumi Watanabe, Hiroki Takahashi, Yojiro Yano, Yusuke Iwasawa, Ikuko Eguchi Yairi
    Pages 13-24

  4. On the Legal Revision in PROLEG Program

    • Wachara Fungwacharakorn, Kanae Tsushima, Ken Satoh
    Pages 25-36

  5. Viewpoint Planning Based on Uncertainty Maps Created from the Generative Query Network

    • Kelvin Lukman, Hiroki Mori, Tetsuya Ogata
    Pages 37-48

  6. Active Learning-Based Data Collection in Crowd Replication

    • Lulu Gao, Shin’ichi Konomi
    Pages 49-60

  7. Mining in Discharge Summaries

    • Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano
    Pages 61-72

  8. Identifying Snowfall Clouds at Syowa Station, Antarctica via a Convolutional Neural Network

    • Kazue Suzuki, Masaki Shimomura, Kazuyuki Nakamura, Naohiko Hirasawa, Hironori Yabuki, Takashi Yamanouchi et al.
    Pages 73-83

  9. Context-Aware Dialogue Response Generation Integrating Causal Relation

    • Bo Yang, Jianming Wu, Gen Hattori
    Pages 84-96

  10. Impact of Domain Knowledge Quality on Inverse Reinforcement Learning

    • Reed Sogabe, Dinesh Bahadur Malla, Masaru Sogabe, Kitsuyoshi Sakamoto, Tomah Sogabe
    Pages 97-108

  11. Intrinsically Motivated Lifelong Exploration in Reinforcement Learning

    • Nicolas Bougie, Ryutaro Ichise
    Pages 109-120

  12. A Preliminary Analysis of Offensive Language Detection Transferability from Social Media to Video Live Streaming Platforms

    • Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
    Pages 121-132

  13. BERT-Based Dialogue Evaluation Methods with RUBER Framework

    • Khin Thet Htar, Yanan Wang, Jianming Wu, Gen Hattori, Aye Thida
    Pages 133-144

  14. The Morandi Room: Entering the World of Morandi’s Paintings Through Machine Learning

    • Shigeru Kobayashi, Ryota Kuwakubo, Shigeru Matsui, Yoshiyuki Otani, Xinqi Zhang, Daisuke Niizumi
    Pages 145-156

  15. STBM: Stochastic Trading Behavior Model for Financial Markets

    • Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
    Pages 157-165

  16. Gated Extra Memory Recurrent Unit for Learning Video Representations

    • Daria Vazhenina, Atsunori Kanemura
    Pages 166-174

  17. Balancing Policy Improvement and Evaluation in Risk-Sensitive Satisficing Algorithm

    • Hiroaki Wakabayashi, Takumi Kamiya, Tatsuji Takahashi
    Pages 175-182

  18. Designing Lightweight Feature Descriptor Networks with Depthwise Separable Convolution

    • Yeo Ree Wang, Atsunori Kanemura
    Pages 183-191

  19. Hybrid Quantum-Classical Dynamic Programming Algorithm

    • Chih-Chieh Chen, Kodai Shiba, Masaru Sogabe, Katsuyoshi Sakamoto, Tomah Sogabe
    Pages 192-199

  20. A Shift from Material to Informational Aspects of Shared Resources can Promote Language Evolution

    • Hiroto Yonenoh, Reiji Suzuki, Takaya Arita
    Pages 200-207
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Keywords

About this book

This book contains expanded versions of research papers presented at the international sessions of Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), which was held online in June 2020. 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. In recent years, AI research has proved of great interest to business people. The event draws both more and more presenters and attendees every year, including people of diverse backgrounds such as law and the social sciences, in additional to artificial intelligence. We are extremely pleased to publish this collection of papers as the research results of our international sessions.

Editors and Affiliations

  • Kansai University, Suita, Japan

    Katsutoshi Yada

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

    Daisuke Katagami

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

    Yasufumi Takama

  • Department of Social Informatics, Kyoto University, Kyoto, Japan

    Takayuki Ito

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

    Akinori Abe

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

    Eri Sato-Shimokawara

  • Mathematics and Informatics Center, The University of Tokyo, Tokyo, Japan

    Junichiro Mori

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

    Naohiro Matsumura

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

    Hisashi Kashima

Bibliographic Information

  • Book Title: Advances in Artificial Intelligence

  • Book Subtitle: Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020)

  • Editors: Katsutoshi Yada, Daisuke Katagami, Yasufumi Takama, Takayuki Ito, Akinori Abe, Eri Sato-Shimokawara, Junichiro Mori, Naohiro Matsumura, … Hisashi Kashima

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-73113-7

  • 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 2021

  • Softcover ISBN: 978-3-030-73112-0Published: 23 July 2021

  • eBook ISBN: 978-3-030-73113-7Published: 22 July 2021

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XI, 250

  • Number of Illustrations: 35 b/w illustrations, 93 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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