Advances in Artificial Intelligence

1. Front Matter

   Pages i-xi

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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

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.

• Artificial Intelligence
• Japanese Society of Artificial Intelligence
• JSAI2020
• JSAI
• Intelligent Systems

• 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

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