Personal profile
External positions
National Institute of Technology, Tokyo College
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Yuto Omae is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
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Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model
Kakimoto, Y., Omae, Y. & Takahashi, H., Jan 2025, In: Applied Sciences (Switzerland). 15, 2, 982.Research output: Contribution to journal › Article › peer-review
Open Access -
Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data
Morooka, E. V., Omae, Y., Hämäläinen, M. & Takahashi, H., Jun 2025, In: AppliedMath. 5, 2, 72.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Cardiomyopathy diagnosis model from endomyocardial biopsy specimens: Appropriate feature space and class boundary in small sample size data
Mori, M., Omae, Y., Koyama, Y., Hara, K., Toyotani, J., Okumura, Y. & Hao, H., 2025, In: AIMS Bioengineering. 12, 2, p. 283-313 31 p.Research output: Contribution to journal › Article › peer-review
Open Access -
CONVOLUTIONAL NEURAL NETWORKS FOR SLEEP STAGES CLASSIFICATION USING MULTIPLE PSG SIGNALS
Sakai, Y., Iwamoto, K., Omae, Y., Mikami, T., Akiduki, T., Sakai, K., Meyer-Conde, M. & Takahashi, H., Sept 2025, In: ICIC Express Letters. 19, 9, p. 1029-1037 9 p.Research output: Contribution to journal › Article › peer-review
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EVI-GPBO: Estimated Variance Integration-Based Gaussian Process Bayesian Optimization
Omae, Y., Kakimoto, Y., Sasaki, M. & Mori, M., 2025, In: IEEE Access. 13, p. 26208-26224 17 p.Research output: Contribution to journal › Article › peer-review
Open Access