論文

• Ryo Matsui, Suguru Yaginuma, Taketo Naito, Kazuhide Nakata. Noise-Robust Sampling for Collaborative Metric Learning, The Review of Socionetwork Strategies, 16, 307-332, Oct. 2022.

国際会議発表 (査読有り)

• Ryo Matsui, Taketo Naito, Suguru Yaginuma, Kazuhide Nakata. Confident Collaborative Metric Learning, IEEE International Workshop on Data Mining for Service (DMS2021), Proceedings of the IEEE International Workshop on Data Mining for Service (DMS2021), Dec. 2021.
• Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata. Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback, The 13th ACM International WSDM Conference (WSDM2020), Proceedings of The 13th ACM International WSDM Conference, pp. 501-509, Feb. 2020.

[ BibTeX 形式で保存 ]    [ 論文・著書をCSV形式で保存 ]    [ 特許をCSV形式で保存 ]