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Higurashi, Tatsuru
6  Ergebnisse:
Personensuche X
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1

Boosting Feedback: A Framework for Enhancing Ground Truth D..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Tsubouchi, Kota ; Yamaguchi, Shuji ; Higurashi, Tatsuru - p. 1982-1989 , 2023
Link: https://doi.org/10.1109/..
 
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2

Development and Evaluation of Embedding Methods for Graphs ..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Fujii, Miyu ; Taingngin, David ; Yamamura, Keiichiro... - p. 3659-3667 , 2022
Link: https://doi.org/10.1109/..
 
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3

ColorfulFeedback: Enhancing Interest Prediction Performance..:

, In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining,
Maeda, Yuki ; Yamaguchi, Shuji ; Higurashi, Tatsuru. - p. 894-897 , 2021
Link: https://dl.acm.org/doi/1..
 
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4

New Performance Index "Attractiveness Factor" for Evaluatin..:

Yoshida, Akihiro ; Higurashi, Tatsuru ; Maruishi, Masaki...
Data Science and Engineering.  5 (2019)  1 - p. 48-64 , 2019
Link: https://doi.org/10.1007/..
 
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5

Practical End-to-End Repositioning Algorithm for Managing B..:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Yoshida, Akihiro ; Yatsushiro, Yosuke ; Hata, Nozomi... - p. 1251-1258 , 2019
Link: https://doi.org/10.1109/..
 
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6

New Performance Index "Attractiveness Factor" for Evaluatin..:

Akihiro Yoshida ; Tatsuru Higurashi ; Masaki Maruishi...
http://link.springer.com/article/10.1007/s41019-019-00112-1.  , 2019
Link: https://doi.org/10.1007/..
 
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