Yuto Omae - RankMe

25 papers Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data. CoRR Masaya Mori, Yuto Omae, Yutaka Koyama, Kazuyuki Hara, Jun Toyotani, Yasuo Okumura, Hiroyuki Hao
2025	J	`jnl`	EVI-GPBO: Estimated Variance Integration-Based Gaussian Process Bayesian Optimization. IEEE Access Yuto Omae, Yohei Kakimoto, Makoto Sasaki, Masaya Mori
2025	J	`jnl`	PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression. CoRR Yuto Omae
2024	J	`jnl`	Deep learned features selection algorithm: Removal operation of anomaly feature maps (RO-AFM). Appl. Soft Comput. Yuto Omae, Yohei Kakimoto, Yuki Saito, Daisuke Fukamachi, Koichi Nagashima, Yasuo Okumura, Jun Toyotani
2024	J	`jnl`	Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation. Mach. Learn. Sci. Technol. Naoki Koyama, Yusuke Sakai, Seiya Sasaoka, Diego Dominguez, Kentaro Somiya, Yuto Omae, Yoshikazu Terada, Marco Meyer-Conde, Hirotaka Takahashi
2024	J	`jnl`	Multi-Rules Mining Algorithm for Combinatorially Exploded Decision Trees With Modified Aitchison-Aitken Function-Based Bayesian Optimization. IEEE Open J. Comput. Soc. Yuto Omae, Masaya Mori, Yohei Kakimoto
2023	J	`jnl`	E2H Distance-Weighted Minimum Reference Set for Numerical and Categorical Mixture Data and a Bayesian Swap Feature Selection Algorithm. Mach. Learn. Knowl. Extr. Yuto Omae, Masaya Mori
2023	J	`jnl`	FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks. CoRR Yuto Omae, Yusuke Sakai, Hirotaka Takahashi
2023	J	`jnl`	GUI System to Support Cardiology Examination Based on Explainable Regression CNN for Estimating Pulmonary Artery Wedge Pressure. IEICE Trans. Inf. Syst. Yuto Omae, Yuki Saito, Yohei Kakimoto, Daisuke Fukamachi, Koichi Nagashima, Yasuo Okumura, Jun Toyotani
2023	J	`jnl`	Multi-rules mining algorithm for combinatorially exploded decision trees with modified Aitchison-Aitken function-based Bayesian optimization. CoRR Yuto Omae, Masaya Mori, Yohei Kakimoto
2022	J	`jnl`	Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study. Sensors Takuma Akiduki, Jun Nagasawa, Zhong Zhang, Yuto Omae, Toshiya Arakawa, Hirotaka Takahashi
2022	J	`jnl`	Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan. IEEE Access Yuto Omae, Makoto Sasaki, Jun Toyotani, Kazuyuki Hara, Hirotaka Takahashi
2021	J	`jnl`	Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation. J. Adv. Comput. Intell. Intell. Informatics Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi
2021	J	`jnl`	Intelligent Edutab Box: Supporting Real-Time Face-to-Face Collaborative Learning. J. Adv. Comput. Intell. Intell. Informatics Yuto Omae, Kazutaka Mizukoshi, Tatsuro Furuya, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Kazuhiro Yatsushiro, Masaya Matsushita, Hirotaka Takahashi
2021	J	`jnl`	Multiagent Simulation Approach to Pedestrian Laminar Flow With Group Walking Models. IEEE Access Hirotaka Takahashi, Yuto Omae, Riki Tanaka
2020	J	`jnl`	A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors. CoRR Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi
2020	J	`jnl`	Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation. CoRR Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi
2018	J	`jnl`	Data Mining for Discovering Effective Time-Series Transition of Learning Strategies on Mutual Viewing-Based Learning. J. Adv. Comput. Intell. Intell. Informatics Yuto Omae, Tatsuro Furuya, Kazutaka Mizukoshi, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Kazuhiro Yatsushiro, Hirotaka Takahashi
2017	J	`jnl`	Feature Selection Algorithm Considering Trial and Individual Differences for Machine Learning of Human Activity Recognition. J. Adv. Comput. Intell. Intell. Informatics Yuto Omae, Hirotaka Takahashi
2017	—	`conf`	Machine learning-based collaborative learning optimizer toward intelligent CSCL system. SII Yuto Omae, Tatsuro Furuya, Kazutaka Mizukoshi, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Kazuhiro Yatsushiro, Hirotaka Takahashi
2017	—	`conf`	Performance analysis of "edulog" system. SII Kazutaka Mizukoshi, Tatsuro Furuya, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Yuto Omae, Hirotaka Takahashi, Kazuhiro Yatsushiro
2017	J	`jnl`	Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Inertial Measurement Unit. J. Adv. Comput. Intell. Intell. Informatics Yuto Omae, Yoshihisa Kon, Masahiro Kobayashi, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi, Takuma Akiduki, Kazufumi Nakai, Nobuo Ezaki, Yoshihisa Sakurai, Chikara Miyaji
2016	—	`conf`	Rubric evaluation for project research as active learning in super science high school. SII Yuto Omae, Takako Mitsui, Hirotaka Takahashi
2015	—	`conf`	Effect on satisfaction through super science high school's education. SII Yuto Omae, Takako Mitsui, Hirotaka Takahashi
2015	—	`conf`	Toward classification of swimming style by using underwater wireless accelerometer data. UbiComp/ISWC Adjunct Yoshihisa Kon, Yuto Omae, Kazuki Sakai, Hirotaka Takahashi, Takuma Akiduki, Chikara Miyaji, Yoshihisa Sakurai, Nobuo Ezaki, Kazufumi Nakai