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岡田 龍太郎/Ryotaro Okada

岡田 龍太郎 Ryotaro Okada

  • 研究員

2020年より武蔵野大学データサイエンス学部データサイエンス学科助教。2020年より国際大学GLOCOM研究員(併任)。筑波大学非常勤講師。2014年に筑波大学大学院システム情報工学研究科博士後期課程単位取得退学後、同大学院にて2019年に博士(工学)を取得。データサイエンティスト人財育成プログラムである一般社団法人サーキュラーエコノミー推進機構2018年度CEOプログラムに参加し、CEO Leadersに認定。

【兼　職】
武蔵野大学データサイエンス学部データサイエンス学科 助教

研究分野・主な関心領域

  • データサイエンス
  • 人工知能
  • 感性情報処理
  • 自然言語処理
  • 意味・文脈処理
  • 自動作曲

研究プログラム

Responsible AIに基づくナッジ分析・生成機構実現とその社会実装可能なデータサイエンティスト人材育成の政策提言


主な著作等

学術雑誌論文

  • Ryotaro Okada, Takafumi Nakanishi, Yuichi Tanaka, Yutaka Ogasawara, Kazuhiro Ohashi, “A Time Series Structure Analysis Method of a Meeting Using Text Data and a Visualization Method of State Transition,” New Generation Computing, 2018, DOI: 10.1007/s00354-018-0050-6.
  • Ryotaro Okada, Takafumi Nakanishi, Yuichi Tanaka, Yutaka Ogasawara, Kazuhiro Ohashi, “A Visualization Method of Relationships among Topics in a Series of Meetings,” Information Engineering Express, vol 3, no 4, pp. 115-124, 2017.
  • 岡田龍太郎,中西崇文,本間秀典,北川高嗣,「メディアコンテンツを対象とした統計的一般化逆作用素構成方式とその楽曲メディアコンテンツ生成への適用」,情報処理学会論文誌57(5), pp.1341-1354,2016

 

国際学会発表(査読あり)

  • Okada, T. Nakanishi, A. Kawagoe, H. Saito, H. Saito, M. Shinohara, “A Redefinition Method of Extracting Features for Media Content Utilization and Its Application to Kimono Obi Design,” 2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI 2020), pp. 116-121, 2020.
  • Nakanishi, R. Okada, R. Nakahodo, “Kansei Transition Analysis by Time-series Change of Media Content,” 2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI 2020), pp. 422-427, 2020.
  • Nitta, S. Hagimoto, A. Yanase, T. Nakanishi, R. Okada, V. Sornlertlamvanich, “Finger Character Recognition in Sign Language Using Finger Feature Knowledge Base for Similarity Measure,” in Proceedings of the 3rd IEEE/IIAI International Congress on Applied Information Technology (IEEE/IIAI AIT 2020), 2020 [Best Paper Award].
  • Hagimoto, T. Nitta, A. Yanase, T. Nakanishi, R. Okada, V. Sornlertlamvanich, “Knowledge Base Creation by Reliability of Coordinates Detected from Videos for Finger Character Recognition,” in Proceedings of 19th IADIS International Conference e-Society 2021, FSP 5.1-F144, pp. 169-176, 2021.
  • Ryotaro Okada, Takafumi Nakanishi, Yuichi Tanaka, Yutaka Ogasawara, Kazuhiro Ohashi, “A Topic Structuration Method on Time Series for a Meeting from Text Data,” ACIS International SNPD 2017, IEEE, published in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing: Studies in Computational Intelligence, Springer, pp. 45-59,2017.
  • Takafumi Nakanishi, Ryotaro Okada, Yuichi Tanaka, Yutaka Ogasawara, Kazuhiro Ohashi, “A Topic Extraction Method on the Flow of Conversation in Meetings,” 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), IEEE, pp. 351-356, 2017.
  • Takafumi Nakanishi, Ryotaro Okada, Takashi Kitagawa, “Automatic media content creation system according to an impression by recognition-creation operators,” IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), pp. 175–180, 2016.
  • Kyohei Matsumoto, Ryotaro Okada, Takafumi Nakanishi, Takashi Kitagawa, “The Method of Image Feature Selection for Integration of Image Classification by Bag-of-Keypoints,” 2015 International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, pp. 589-594, 2015.
  • Ryotaro Okada, Takafumi Nakanishi, Takashi Kitagawa, “A Method of Knowledge Creation and Knowledge Utilization by Generalized Inverse Operator,” 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IEEE, pp. 253-258, 2014.