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Mika Sato-Ilic Archive
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Difference on Evaluation Scores Considering Image Descriptions for Autocoding
Posted on March 20, 2024 | No CommentsYukako Toko (ytoko@nstac.go.jp) National Statistics Center, Japan Mika Sato-Ilic (mika@risk.tsukuba.ac.jp) Institute of Systems and Information Engineering, University of Tsukuba, Japan Abstract Autocoding plays an essential role in editing official statistics […] -
Improvement of Model Construction based on Reliability Scores of Objects for Autocoding
Posted on March 20, 2023 | No CommentsYukako Toko (ytoko@nstac.go.jp) National Statistics Center, Tokyo Mika Sato-Ilic (mika@risk.tsukuba.ac.jp) University of Tsukuba, Japan Takayuki Sasajima (tsasajima@nstac.go.jp) National Statistics Center, Tokyo, Japan Abstract This paper proposes a new method for […] -
Autocoding based Multi-Class Support Vector Machine by Fuzzy c-Means
Posted on March 20, 2022 | No CommentsYukako Toko (ytoko@nstac.go.jp) National Statistics Center Japan Mika Sato-Ilic (mika@risk.tsukuba.ac.jp) University of Tsukuba, Japan Abstract This paper proposes a new autocoding method for the coding task of the Family Income […] -
Efficient Autocoding Method in High Dimensional Space
Posted on March 19, 2021 | No CommentsYukako Toko (ytoko@nstac.go.jp) National Statistics Center, Japan Mika Sato-Ilic (msato@nstac.go.jp, mika@risk.tsukuba.ac.jp) National Statistics Center, Japan, / University of Tsukuba, Japan Abstract In recent years, data handled in official statistics is […] -
Generalization for Improvement of the Reliability Score for Autocoding
Posted on September 11, 2019 | No CommentsYukako Toko (ytoko@nstac.go.jp) National Statistics Center, Japan Shinya Iijima (siijima@nstac.go.jp) National Statistics Center, Japan Mika Sato-Ilic (msato@nstac.go.jp) National Statistics Center, Japan / University of Tsukuba Abstract We developed the supervised […] -
Overlapping classification for autocoding system
Posted on December 20, 2018 | No CommentsYukako Toko (ytoko@nstac.go.jp) National Statistics Center, Japan Shinya Iijima (siijima@nstac.go.jp)| National Statistics Center, Japan Mika Sato-Ilic (msato@nstac.go.jp) National Statistics Center, Japan / University of Tsukuba Abstract Coding is the classification of objects (or […]