Research output per year
Research output per year
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Dive into the research topics where Kosuke Sugiyama is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 2 Conference contribution
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Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model
Sugiyama, K. & Uchida, M., 2023, Artificial Neural Networks and Machine Learning – ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Proceedings. Iliadis, L., Papaleonidas, A., Angelov, P. & Jayne, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 307-319 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14256 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Exploring Hessian Regularization in Mixup
Sugiyama, K. & Uchida, M., 2023, Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Arif Wani, M., Boicu, M., Sayed-Mouchaweh, M., Abreu, P. H. & Gama, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1817-1824 8 p. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution