Research field (3)：
Statistical science
, Database science
, Intelligent informatics
Research keywords (3)：
人工知能
, 情報検索
, 自然言語処理
Research theme for competitive and other funds (6)：
2021 - 2026 単語分散表現の頻度エンコード問題の解消
2021 - 2025 「ハブネス」を活用して行う高次元データの解析
2016 - 2020 大規模データセットに生じるハブ現象の解明とその医療生命系データへの応用
2012 - 2016 Studies on link analytic similarity measures for high-dimensional/structured data
2012 - 2016 知識の再利用性向上に向けた文書の箇条書き化
2009 - 2012 系列アラインメントに基づく並列構造解析と統語解析の統合に関する研究
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Papers (32)：
Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki. Investigating Word Vectors for the Negation of Verbs. SN Comput. Sci. 2024. 5. 222. 1-20
Shizuku Iida, Kazuo Hara. Finding Experiential Stress in Tweets by Utilizing both Explicit and Implicit Stress Data. 2021 IEEE International Conference on Big Data (Big Data). 2021. 5916-5918
Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki. Robust Method to Convert HIRAGANA Sequences into Japanese Text. 2021 IEEE International Conference on Big Data (Big Data). 2021. 6058-6060
Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi. Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. 2021 IEEE International Conference on Big Data (Big Data). 2021. 6014-6016
Yuki Eizuka, Kazuo Hara, Ikumi Suzuki. Impact of Duplicating Small Training Data on GANs. Proceedings of the 10th International Conference on Data Science, Technology and Applications(DATA). 2021. 308-315
