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Advances in Artificial Intelligence

Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019)

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Yukio Ohsawa

    1. Department of Systems Innovation, University of Tokyo, Tokyo, Japan

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  2. Katsutoshi Yada

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

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  3. Takayuki Ito

    1. Nagoya Institute of Technology, Nagoya, Japan

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  4. Yasufumi Takama

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

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  5. Eri Sato-Shimokawara

    1. Department of Information and Communication, Tokyo Metropolitan University, Tokyo, Japan

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  6. Akinori Abe

    1. Faculty of Letters, Chiba University, Chiba, Japan

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  7. Junichiro Mori

    1. School of Engineering, The University of Tokyo, Tokyo, Japan

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  8. Naohiro Matsumura

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

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  • Highlights recent research in artificial intelligence
  • Gathers selected papers presented at the Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2018), held in Niigata, Japan, on June 4–7, 2019
  • Written by respected experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1128)

Included in the following conference series:

Conference proceedings info: JSAI 2019.

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Table of contents (26 papers)

  1. Natural Language Processing

    1. GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding

      • Natthawut Kertkeidkachorn, Xin Liu, Ryutaro Ichise
      Pages 170-178

    2. Latent-Space Data Augmentation for Visually-Grounded Language Understanding

      • Aly Magassouba, Komei Sugiura, Hisashi Kawai
      Pages 179-187

  2. Machine Learning and Data Mining

    1. Front Matter

      Pages 189-189
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    2. A Community Sensing Approach for User Identity Linkage

      • Zexuan Wang, Teruaki Hayashi, Yukio Ohsawa
      Pages 191-202

    3. Social Influence Prediction by a Community-Based Convolutional Neural Network

      • Shao Hsuan Tai, Hao-Shang Ma, Jen-Wei Huang
      Pages 203-214

    4. Segment Information Extraction from Financial Annual Reports Using Neural Network

      • Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
      Pages 215-226

    5. One-Shot Learning Using Triplet Network with kNN Classifier

      • Mu Zhou, Yusuke Tanimura, Hidemoto Nakada
      Pages 227-235

    6. Trees Detection on Google Street View Images Using Deep Learning and City Open Data

      • Lieu-Hen Chen, Hao-Ming Hung, Cheng-Yu Sun, Eric Hsiao-Kuang Wu, Toru Yamaguchi, Eri Sato-Shimokawara et al.
      Pages 236-243

  3. Cyber Physics

    1. Front Matter

      Pages 245-245
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    2. Classification of Accessibility and Synergy in the Tokyo Area Multimodal Transportation Network

      • Aaron Bramson, Megumi Hori, Bingran Zha, Hirohisa Inamoto
      Pages 247-266

    3. Modelling Naturalistic Work Stress Using Spectral HRV Representations and Deep Learning

      • Juan Lorenzo Hagad, Ken-ichi Fukui, Masayuki Numao
      Pages 267-277

    4. Privacy-Preserving Resident Monitoring System with Ultra Low-Resolution Imaging and the Examination of Its Ease of Installation

      • Shogo Murakami, Takumi Kimura, Ikuko Eguchi Yairi
      Pages 278-290

    5. Identity Verification Using Face Recognition Improved by Managing Check-in Behavior of Event Attendees

      • Akitoshi Okumura, Susumu Handa, Takamichi Hoshino, Naoki Tokunaga, Masami Kanda
      Pages 291-304

  4. Back Matter

    Pages 305-306
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Keywords

About this book

This book presents selected and extended papers from the largest conference on artificial intelligence in Japan, which was expanded into an internationalized event for the first time in 2019: the 33rd Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2019), held on June 4–June 7, 2019 at TOKI MESSE in Niigata, Japan. 

The book’s content has been divided into six major sections, on (I) knowledge engineering, (II) agents, (III) education and culture, (IV) natural language processing, (V) machine learning and data mining, and (VI) cyber physics. 

Given its scope, the book offers a valuable reference guide for professionals, undergraduate and graduate students engaged in disciplines, fields, technologies, or philosophies relevant to AI, e.g., computer/data science, robotics, linguistics, and physics, introducing them to recent advances in this area and discussing the human society of tomorrow.

Editors and Affiliations

  • Department of Systems Innovation, University of Tokyo, Tokyo, Japan

    Yukio Ohsawa

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

    Katsutoshi Yada

  • Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

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

    Yasufumi Takama

  • Department of Information and Communication, Tokyo Metropolitan University, Tokyo, Japan

    Eri Sato-Shimokawara

  • Faculty of Letters, Chiba University, Chiba, Japan

    Akinori Abe

  • School of Engineering, The University of Tokyo, Tokyo, Japan

    Junichiro Mori

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

    Naohiro Matsumura

Bibliographic Information

  • Book Title: Advances in Artificial Intelligence

  • Book Subtitle: Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019)

  • Editors: Yukio Ohsawa, Katsutoshi Yada, Takayuki Ito, Yasufumi Takama, Eri Sato-Shimokawara, Akinori Abe, Junichiro Mori, … Naohiro Matsumura

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-39878-1

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-39877-4Published: 04 February 2020

  • eBook ISBN: 978-3-030-39878-1Published: 03 February 2020

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XI, 306

  • Number of Illustrations: 28 b/w illustrations, 93 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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