Toward classification of swimming style by using underwater wireless accelerometer data. - Yoshihisa Kon; Yuto Omae; Kazuki Sakai; Hirotaka Takahashi; Takuma Akiduki; Chikara Miyaji; Yoshihisa Sakurai; Nobuo Ezaki; Kazufumi Nakai (UbiComp/ISWC Adjunct, 2015)

Effect on satisfaction through super science high school's education. - Yuto Omae; Takako Mitsui; Hirotaka Takahashi (SII, 2015)

Rubric evaluation for project research as active learning in super science high school. - Yuto Omae; Takako Mitsui; Hirotaka Takahashi (SII, 2016)

Performance analysis of "edulog" system. - Kazutaka Mizukoshi; Tatsuro Furuya; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Yuto Omae; Hirotaka Takahashi; Kazuhiro Yatsushiro (SII, 2017)

Machine learning-based collaborative learning optimizer toward intelligent CSCL system. - Yuto Omae; Tatsuro Furuya; Kazutaka Mizukoshi; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Kazuhiro Yatsushiro; Hirotaka Takahashi (SII, 2017)

Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Inertial Measurement Unit. - Yuto Omae; Yoshihisa Kon; Masahiro Kobayashi; Kazuki Sakai; Akira Shionoya; Hirotaka Takahashi; Takuma Akiduki; Kazufumi Nakai; Nobuo Ezaki; Yoshihisa Sakurai; Chikara Miyaji (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Feature Selection Algorithm Considering Trial and Individual Differences for Machine Learning of Human Activity Recognition. - Yuto Omae; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Data Mining for Discovering Effective Time-Series Transition of Learning Strategies on Mutual Viewing-Based Learning. - Yuto Omae; Tatsuro Furuya; Kazutaka Mizukoshi; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Kazuhiro Yatsushiro; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2018)

A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors. - Yuto Omae; Jun Toyotani; Kazuyuki Hara; Yasuhiro Gon; Hirotaka Takahashi (CoRR, 2020)

Multiagent Simulation Approach to Pedestrian Laminar Flow With Group Walking Models. - Hirotaka Takahashi; Yuto Omae; Riki Tanaka (IEEE Access, 2021)

Intelligent Edutab Box: Supporting Real-Time Face-to-Face Collaborative Learning. - Yuto Omae; Kazutaka Mizukoshi; Tatsuro Furuya; Takayuki Oshima; Norihisa Sakakibara; Yoshiaki Mizuochi; Kazuhiro Yatsushiro; Masaya Matsushita; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation. - Yuto Omae; Jun Toyotani; Kazuyuki Hara; Yasuhiro Gon; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan. - Yuto Omae; Makoto Sasaki; Jun Toyotani; Kazuyuki Hara; Hirotaka Takahashi (IEEE Access, 2022)

Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study. - Takuma Akiduki; Jun Nagasawa; Zhong Zhang 005; Yuto Omae; Toshiya Arakawa; Hirotaka Takahashi (Sensors, 2022)

FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks. - Yuto Omae; Yusuke Sakai 011; Hirotaka Takahashi (CoRR, 2023)

GUI System to Support Cardiology Examination Based on Explainable Regression CNN for Estimating Pulmonary Artery Wedge Pressure. - Yuto Omae; Yuki Saito 008; Yohei Kakimoto; Daisuke Fukamachi; Koichi Nagashima; Yasuo Okumura; Jun Toyotani (IEICE Trans. Inf. Syst., 2023)

E2H Distance-Weighted Minimum Reference Set for Numerical and Categorical Mixture Data and a Bayesian Swap Feature Selection Algorithm. - Yuto Omae; Masaya Mori (Mach. Learn. Knowl. Extr., 2023)

Deep learned features selection algorithm: Removal operation of anomaly feature maps (RO-AFM). - Yuto Omae; Yohei Kakimoto; Yuki Saito 008; Daisuke Fukamachi; Koichi Nagashima; Yasuo Okumura; Jun Toyotani (Appl. Soft Comput., 2024)

Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation. - Naoki Koyama; Yusuke Sakai 011; Seiya Sasaoka; Diego Dominguez; Kentaro Somiya; Yuto Omae; Yoshikazu Terada; Marco Meyer-Conde; Hirotaka Takahashi (Mach. Learn. Sci. Technol., 2024)

Multi-Rules Mining Algorithm for Combinatorially Exploded Decision Trees With Modified Aitchison-Aitken Function-Based Bayesian Optimization. - Yuto Omae; Masaya Mori; Yohei Kakimoto (IEEE Open J. Comput. Soc., 2024)

EVI-GPBO: Estimated Variance Integration-Based Gaussian Process Bayesian Optimization. - Yuto Omae; Yohei Kakimoto; Makoto Sasaki; Masaya Mori (IEEE Access, 2025)

Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data. - Masaya Mori; Yuto Omae; Yutaka Koyama; Kazuyuki Hara; Jun Toyotani; Yasuo Okumura; Hiroyuki Hao (CoRR, 2025)

PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression. - Yuto Omae (CoRR, 2025)