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Dive into the research topics where Practical Data Science is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient-Level Diagnoses
Yamaguchi, T., Iwana, B. K., Bise, R., Harada, S., Okuo, T., Tanaka, K. & Shiku, K., 2026, Machine Learning in Medical Imaging - 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Cui, Z., Rekik, I., Suk, H.-I., Ouyang, X., Sun, K. & Wang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 338-347 10 p. (Lecture Notes in Computer Science; vol. 16241 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Electrooculography-Based Detection of Refractive Vision Problems
Wei, X., Liu, H., Hirao, Y., Perusquia-Hernandez, M., Masai, K., Uchiyama, H. & Kiyokawa, K., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
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Learning from majority label: A novel problem in multi-class multiple-instance learning
Shiku, K., Matsuo, S., Suehiro, D. & Bise, R., Apr 2026, In: Pattern Recognition. 172, 112425.Research output: Contribution to journal › Article › peer-review