Yuto Omae

2025

Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model

Kakimoto, Y., Omae, Y. & Takahashi, H., 1月 2025, In: Applied Sciences (Switzerland). 15, 2, 982.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

2024

Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences

Sasaoka, S., Koyama, N., Dominguez, D., Sakai, Y., Somiya, K., Omae, Y. & Takahashi, H., 15 2月 2024, In: Physical Review D. 109, 4, 043011.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

2 被引用数 (Scopus)

Deep learned features selection algorithm: Removal operation of anomaly feature maps (RO-AFM)

Omae, Y., Kakimoto, Y., Saito, Y., Fukamachi, D., Nagashima, K., Okumura, Y. & Toyotani, J., 9月 2024, In: Applied Soft Computing. 162, 111809.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Deep Learning Application for Detecting Gravitational Waves from Core-Collapse Supernovae

Sasaoka, S., Hou, Y., Dominguez, D., Garg, S., Koyama, N., Sakai, Y., Omae, Y., Somiya, K. & Takahashi, H., 27 9月 2024, In: Proceedings of Science. 444, 1499.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

Deep Learning for Detecting Gravitational Waves from Compact Binary Coalescences and Its Visualization by Grad-CAM

Sasaoka, S., Hou, Y., Dominguez, D., Garg, S., Koyama, N., Sakai, Y., Omae, Y., Somiya, K. & Takahashi, H., 27 9月 2024, In: Proceedings of Science. 444, 1498.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation

Koyama, N., Sakai, Y., Sasaoka, S., Dominguez, D., Somiya, K., Omae, Y., Terada, Y., Meyer-Conde, M. & Takahashi, H., 1 9月 2024, In: Machine Learning: Science and Technology. 5, 3, 035028.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

1 被引用数 (Scopus)

Evaluation of location-data based features using Gaussian mixture models for age group estimation

Kakimoto, Y. & Omae, Y., 2024, In: Journal of Physics: Conference Series. 2701, 1, 012070.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

Open Access

1 被引用数 (Scopus)

Exercise Stress Echocardiography–Based Phenotyping of Heart Failure With Preserved Ejection Fraction

Saito, Y., Omae, Y., Harada, T., Sorimachi, H., Yuasa, N., Kagami, K., Murakami, F., Naito, A., Tani, Y., Kato, T., Wada, N., Okumura, Y., Ishii, H. & Obokata, M., 8月 2024, In: Journal of the American Society of Echocardiography. 37, 8, p. 759-768 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

3 被引用数 (Scopus)

Features gradient-based signals selection algorithm of linear complexity for convolutional neural networks

Omae, Y., Sakai, Y. & Takahashi, H., 2024, In: AIMS Mathematics. 9, 1, p. 792-817 26 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

Gaussian Process-based Bayesian Optimization and Shape Transformation of Benchmark Functions

Omae, Y., 2024, In: Journal of Physics: Conference Series. 2701, 1, 012022.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

Open Access

IMPACTS OF SNOW ACCUMULATION ON A FACILITY LOCATION MODEL –FOCUSING ON THE ROAD NETWORK IN NAGAOKA, NIIGATA, JAPAN–

Kikuchi, H., Kakimoto, Y., Omae, Y. & Sakai, K., 4月 2024, In: International Journal of Innovative Computing, Information and Control. 20, 2, p. 329-342 14 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Multi-Rules Mining Algorithm for Combinatorially Exploded Decision Trees With Modified Aitchison-Aitken Function-Based Bayesian Optimization

Omae, Y., Mori, M. & Kakimoto, Y., 2024, In: IEEE Open Journal of the Computer Society. 5, p. 215-226 12 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

2023

ANALYSIS OF IMPACT OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE EDUCATION ON MOTIVATION AND CAREER DEVELOPMENT

Takahashi, H., Ojima, S., Kawai, T., Yamaguchi, A. & Omae, Y., 12月 2023, In: ICIC Express Letters, Part B: Applications. 14, 12, p. 1273-1283 11 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Basic investigation of a method of assessing tennis forehand stroke quality using convolutional neural networks and inertia sensors

Omae, Y., 2023, In: AIP Conference Proceedings. 2872, 1, 120077-1.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

COVID-19 の感染リスクを抑制する飲食店における座席割当モデル

Kakimoto, Y., Omae, Y., Toyotani, J., Hara, K. & Takahashi, H., 2023, In: Journal of Japan Industrial Management Association. 74, 2, p. 77-89 13 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

E2H Distance-Weighted Minimum Reference Set for Numerical and Categorical Mixture Data and a Bayesian Swap Feature Selection Algorithm

Omae, Y. & Mori, M., 3月 2023, In: Machine Learning and Knowledge Extraction. 5, 1, p. 109-127 19 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

1 被引用数 (Scopus)

Effects of Exploration Weight and Overtuned Kernel Parameters on Gaussian Process-Based Bayesian Optimization Search Performance

Omae, Y., 7月 2023, In: Mathematics. 11, 14, 3067.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

1 被引用数 (Scopus)

EVACUATION PLANNING MODEL USING CHAIN FLOW ALGORITHM: CASE OF DIFFERENT EVACUATION SPEEDS

Takahashi, H., Inagawa, T., Sumitani, Y. & Omae, Y., 5月 2023, In: ICIC Express Letters. 17, 5, p. 569-578 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

GUI System to Support Cardiology Examination Based on Explainable Regression CNN for Estimating Pulmonary Artery Wedge Pressure

Omae, Y., Saito, Y., Kakimoto, Y., Fukamachi, D., Nagashima, K., Okumura, Y. & Toyotani, J., 3月 2023, In: IEICE Transactions on Information and Systems. E106D, 3, p. 423-426 4 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

1 被引用数 (Scopus)

Impact of chest radiograph image size and augmentation on estimating pulmonary artery wedge pressure by regression convolutional neural network

Omae, Y., Saito, Y., Fukamachi, D., Nagashima, K., Okumura, Y. & Toyotani, J., 2023, In: AIP Conference Proceedings. 2872, 1, 120065-1.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

Phenotyping of atrial fibrillation with cluster analysis and external validation

Saito, Y., Omae, Y., Nagashima, K., Miyauchi, K., Nishizaki, Y., Miyazaki, S., Hayashi, H., Nojiri, S., Daida, H., Minamino, T. & Okumura, Y., 1 12月 2023, In: Heart. 109, 23, p. 1751-1758 8 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

10 被引用数 (Scopus)

Prognostic significance of pulmonary arterial wedge pressure estimated by deep learning in acute heart failure

Saito, Y., Omae, Y., Mizobuchi, S., Fujito, H., Miyagawa, M., Kitano, D., Toyama, K., Fukamachi, D., Toyotani, J. & Okumura, Y., 4月 2023, In: ESC heart failure. 10, 2, p. 1103-1113 11 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

3 被引用数 (Scopus)

THREE-STATE CLASSIFICATION OF PULMONARY ARTERY WEDGE PRESSURE FROM CHEST X-RAY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS

Miura, T., Omae, Y., Saito, Y., Fukamachi, D., Nagashima, K., Okumura, Y., Kakimoto, Y. & Toyotani, J., 3月 2023, In: ICIC Express Letters, Part B: Applications. 14, 3, p. 271-277 7 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

1 被引用数 (Scopus)

Visualizing convolutional neural network for classifying gravitational waves from core-collapse supernovae

Sasaoka, S., Koyama, N., Dominguez, D., Sakai, Y., Somiya, K., Omae, Y. & Takahashi, H., 15 12月 2023, In: Physical Review D. 108, 12, 123033.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

5 被引用数 (Scopus)

2022

DISASTER EVACUATION SIMULATION CONSIDERING TRANSMISSION OF FALSE AND FACT-CHECKING INFORMATION BY SOCIAL NETWORKING SERVICE

Takahashi, H., Uenae, C., Sumitani, Y., Kakimoto, Y. & Omae, Y., 2022, In: International Journal of Innovative Computing, Information and Control. 18, 3, p. 837-849 13 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

1 被引用数 (Scopus)

Fast screening framework for infection control scenario identification

Kakimoto, Y., Omae, Y., Toyotani, J. & Takahashi, H., 2022, In: Mathematical Biosciences and Engineering. 19, 12, p. 12316-12333 18 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study

Akiduki, T., Nagasawa, J., Zhang, Z., Omae, Y., Arakawa, T. & Takahashi, H., 1 1月 2022, In: Sensors. 22, 1, 352.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

8 被引用数 (Scopus)

Quantitative estimation of pulmonary artery wedge pressure from chest radiographs by a regression convolutional neural network

Saito, Y., Omae, Y., Fukamachi, D., Nagashima, K., Mizobuchi, S., Kakimoto, Y., Toyotani, J. & Okumura, Y., 8月 2022, In: Heart and Vessels. 37, 8, p. 1387-1394 8 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

12 被引用数 (Scopus)

RELATIONSHIP BETWEEN THE ACCURACY OF MODELS FOR JUDGING CAR SICKNESS BASED ON LINE-OF-SIGHT FEATURES AND ROAD ATTRIBUTES

Okuyama, S., Toyotani, J. & Omae, Y., 4月 2022, In: International Journal of Innovative Computing, Information and Control. 18, 2, p. 433-445 13 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

SIRVD モデルによる COVID-19 ワクチン接種を考慮した日本国内の感染伝播シミュレーション

Omae, Y., Kakimoto, Y., Toyotani, J., Hara, K., Gon, Y. & Takahashi, H., 2022, In: Journal of Japan Industrial Management Association. 73, 1, p. 27-30 4 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

SIRVVD model-based verification of the effect of first and second doses of COVID-19/SARS-CoV-2 vaccination in Japan

Omae, Y., Kakimoto, Y., Sasaki, M., Toyotani, J., Hara, K., Gon, Y. & Takahashi, H., 2022, In: Mathematical Biosciences and Engineering. 19, 1, p. 1026-1040 15 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

10 被引用数 (Scopus)

Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan

Omae, Y., Sasaki, M., Toyotani, J., Hara, K. & Takahashi, H., 2022, In: IEEE Access. 10, p. 43044-43054 11 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

3 被引用数 (Scopus)

2021

A study of effects of driver’s sleepiness on driver’s subsidiary behaviors

Tsubowa, K., Akiduki, T., Zhang, Z., Takahashi, H. & Omae, Y., 10月 2021, In: International Journal of Innovative Computing, Information and Control. 17, 5, p. 1791-1799 9 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

3 被引用数 (Scopus)

A system to analyze and support learners’ spontaneous interactions

Matsushita, M., Omae, Y., Furuya, T., Yatsushiro, K., Mizukoshi, K., Oshima, T., Sakakibara, N., Mizuochi, Y. & Takahashi, H., 6月 2021, In: ICIC Express Letters, Part B: Applications. 12, 6, p. 549-556 8 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Effectiveness of the COVID-19 contact-confirming application (COCOA) based on multi-agent simulation

Omae, Y., Toyotani, J., Hara, K., Gon, Y. & Takahashi, H., 11月 2021, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 25, 6, p. 931-943 13 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

1 被引用数 (Scopus)

Impact of removal strategies of stay-at-home orders on the number of covid-19 infectors and people leaving their homes

Omae, Y., Kakimoto, Y., Toyotani, J., Hara, K., Gon, Y. & Takahashi, H., 6月 2021, In: International Journal of Innovative Computing, Information and Control. 17, 3, p. 1055-1065 11 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

4 被引用数 (Scopus)

Intelligent Edutab Box: Supporting Real-Time Face-to-Face Collaborative Learning

Omae, Y., Mizukoshi, K., Furuya, T., Oshima, T., Sakakibara, N., Mizuochi, Y., Yatsushiro, K., Matsushita, M. & Takahashi, H., 3月 2021, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 25, 2, p. 258-269 12 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

Mathematical Model Considering Effect of COVID-19 Contact-Confirming Application (COCOA) and “GoTo Travel Campaign”

Maehashi, R., Nagaoka, R., Nigoshi, Y., Hayashi, Y., Moriguchi, R., Kakimoto, Y., Toyotani, J., Hara, K., Takahashi, H. & Omae, Y., 2 12月 2021, In: Journal of Physics: Conference Series. 2090, 1, 012022.

研究成果: ジャーナルへの寄稿 › 会議記事 › 査読

Open Access

Multiagent Simulation Approach to Pedestrian Laminar Flow with Group Walking Models

Takahashi, H., Omae, Y. & Tanaka, R., 2021, In: IEEE Access. 9, p. 6907-6920 14 p., 9314063.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

2 被引用数 (Scopus)

Reliability of multi-agent based infection simulator with parameters of isolation wards

Omae, Y., Kakimoto, Y., Toyotani, J., Hara, K., Gon, Y. & Takahashi, H., 2021, In: ICIC Express Letters, Part B: Applications. 12, 6, p. 577-586 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

1 被引用数 (Scopus)

SIR model-based verification of effect of COVID-19 Contact-Confirming Application (COCOA) on reducing infectors in Japan

Omae, Y., Kakimoto, Y., Toyotani, J., Hara, K., Gon, Y. & Takahashi, H., 28 7月 2021, In: Mathematical Biosciences and Engineering. 18, 5, p. 6506-6526 21 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

4 被引用数 (Scopus)

2020

A basic study of noise reduction on the analysis of burst gravitational waves by direct and parallel denoising autoencoder

Hayashi, H., Sakai, K., Hamazumi, H., Takahashi, H. & Omae, Y., 2020, In: ICIC Express Letters. 14, 4, p. 337-345 9 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

1 被引用数 (Scopus)

Classification of human gait acceleration data using convolutional neural networks

Kreuter, D., Takahashi, H., Omae, Y., Akiduki, T. & Zhang, Z., 4月 2020, In: International Journal of Innovative Computing, Information and Control. 16, 2, p. 609-619 11 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

13 被引用数 (Scopus)

Detection of swimming stroke start timing by deep learning from an inertial sensor

Omae, Y., Kobayashi, M., Sakai, K., Akiduki, T., Shionoya, A. & Takahashi, H., 3月 2020, In: ICIC Express Letters, Part B: Applications. 11, 3, p. 245-251 7 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

4 被引用数 (Scopus)

2019

A novel deep learning optimization algorithm for human motions anomaly detection

Omae, Y., Mori, M., Akiduki, T. & Takahashi, H., 1 2月 2019, In: International Journal of Innovative Computing, Information and Control. 15, 1, p. 199-208 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

12 被引用数 (Scopus)

Consideration of human motion’s individual differences-based feature space evaluation function for anomaly detection

Mori, M., Omae, Y., Akiduki, T. & Takahashi, H., 4月 2019, In: International Journal of Innovative Computing, Information and Control. 15, 2, p. 783-791 9 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

3 被引用数 (Scopus)

The "Edutab Box": A computer-supported collaborative learning system - practical activities and future directions

Furuya, T., Mizukoshi, K., Mizuochi, Y., Omae, Y., Oshima, T., Sakakibara, N., Takahashi, H. & Yatsushiro, K., 27 12月 2019, Handbook of Research on Software for Gifted and Talented School Activities in K-12 Classrooms. IGI Global, p. 170-195 26 p.

研究成果: 書籍の章/レポート/Proceedings › 章 › 査読

Open Access

2018

Data mining for discovering effective time-series transition of learning strategies on mutual viewing-based learning

Omae, Y., Furuya, T., Mizukoshi, K., Oshima, T., Sakakibara, N., Mizuochi, Y., Yatsushiro, K. & Takahashi, H., 11月 2018, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 22, 7, p. 1046-1055 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Open Access

3 被引用数 (Scopus)

Future facility locating method in consideration of maintaining accessibility and reducing reconstruction costs

Takahagi, W., Sakai, K., Omae, Y., Sumitani, Y. & Takahashi, H., 2018, In: Journal of Japan Industrial Management Association. 69, 2, p. 84-93 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

Swimming motion classification for coaching system by using a sensor device

Kobayashi, M., Omae, Y., Sakai, K., Shionoya, A., Takahashi, H., Akiduki, T., Nakai, K., Ezaki, N., Sakurai, Y. & Miyaji, C., 1 3月 2018, In: ICIC Express Letters, Part B: Applications. 9, 3, p. 209-218 10 p.

研究成果: ジャーナルへの寄稿 › 記事 › 査読

3 被引用数 (Scopus)

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大前佑斗