Yuto Omae 研究室

主宰者：Yuto Omae

日本大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（49 件）

[2026] Feature Extraction from 3D Point Clouds Using SOAP: A Comparison with PointNet and PointNet++
DOI: https://doi.org/10.1587/transinf.2025edp7211
[2025] EVI-GPBO: Estimated Variance Integration-Based Gaussian Process Bayesian Optimization
DOI: https://doi.org/10.1109/access.2025.3539209
[2025] Cardiomyopathy diagnosis model from endomyocardial biopsy specimens: Appropriate feature space and class boundary in small sample size data
DOI: https://doi.org/10.3934/bioeng.2025014
[2025] Development of Transparent Conductive Probe for Tunnel Electron Luminescence Microscopy
DOI: https://doi.org/10.24792/0002001838
[2025] Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data
DOI: https://doi.org/10.3390/appliedmath5020072
[2025] Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals
DOI: https://doi.org/10.3156/jsoft.37.1_506
[2025] Relationship Between Training Data Size, Generalization Performance, and Saliency Maps in Regression Convolutional Neural Networks for Estimating Pulmonary Artery Wedge Pressure
DOI: https://doi.org/10.3156/jsoft.37.4_708
[2025] Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model
DOI: https://doi.org/10.3390/app15020982
[2025] Machine Learning-Based Methods for Automatic Compensation of Dead-time Distortion: A Comparative Study
DOI: https://doi.org/10.1541/ieejjia.24014418
[2024] Evaluation of location-data based features using Gaussian mixture models for age group estimation
DOI: https://doi.org/10.1088/1742-6596/2701/1/012070

続きを表示（残り 39 件）

[2024] Analyzing factors of daily travel distances in Japan during the COVID-19 pandemic
DOI: https://doi.org/10.3934/mbe.2024305
[2024] Multi-Rules Mining Algorithm for Combinatorially Exploded Decision Trees With Modified Aitchison-Aitken Function-Based Bayesian Optimization
DOI: https://doi.org/10.1109/ojcs.2024.3394928
[2024] Deep learned features selection algorithm: Removal operation of anomaly feature maps (RO-AFM)
DOI: https://doi.org/10.1016/j.asoc.2024.111809
[2024] Exercise Stress Echocardiography–Based Phenotyping of Heart Failure With Preserved Ejection Fraction
DOI: https://doi.org/10.1016/j.echo.2024.05.003
[2024] Ref-tabを用いた振り返りの共有が学習者に与える影響～自己調整する学級を目指した授業実践を通して～
[2024] 教育評価を支える振り返りシステムRef-tabの開発
[2024] Evaluation of Automatic Adjustment Methods for Voltage Reference to Compensate Dead-Time Distortion Using Machine Learning
DOI: https://doi.org/10.23919/icems60997.2024.10921219
[2024] Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation
DOI: https://doi.org/10.1088/2632-2153/ad6391
[2024] Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
DOI: https://doi.org/10.1103/physrevd.109.043011
[2024] Gaussian Process-based Bayesian Optimization and Shape Transformation of Benchmark Functions
DOI: https://doi.org/10.1088/1742-6596/2701/1/012022
[2023] Impact of chest radiograph image size and augmentation on estimating pulmonary artery wedge pressure by regression convolutional neural network
DOI: https://doi.org/10.1063/5.0162766
[2023] Visualizing convolutional neural network for classifying gravitational waves from core-collapse supernovae
DOI: https://doi.org/10.1103/physrevd.108.123033
[2023] Features gradient-based signals selection algorithm of linear complexity for convolutional neural networks
DOI: https://doi.org/10.3934/math.2024041
[2023] Deep Learning Application for Detecting Gravitational Waves from Core-Collapse Supernovae
DOI: https://doi.org/10.22323/1.444.1499
[2023] Deep Learning for Detecting Gravitational Waves from Compact Binary Coalescences and Its Visualization by Grad-CAM
DOI: https://doi.org/10.22323/1.444.1498
[2023] Effects of Exploration Weight and Overtuned Kernel Parameters on Gaussian Process-Based Bayesian Optimization Search Performance
DOI: https://doi.org/10.3390/math11143067
[2023] Phenotyping of atrial fibrillation with cluster analysis and external validation
DOI: https://doi.org/10.1136/heartjnl-2023-322447
[2023] GUI System to Support Cardiology Examination Based on Explainable Regression CNN for Estimating Pulmonary Artery Wedge Pressure
DOI: https://doi.org/10.1587/transinf.2022edl8059
[2023] E2H Distance-Weighted Minimum Reference Set for Numerical and Categorical Mixture Data and a Bayesian Swap Feature Selection Algorithm
DOI: https://doi.org/10.3390/make5010007
[2023] Artificial Intelligence Education in an Elementary School and Its Evaluation by Career Development, Motivation and Rubrics
DOI: https://doi.org/10.12937/itel.3.1.trans.p002
[2023] Basic investigation of a method of assessing tennis forehand stroke quality using convolutional neural networks and inertia sensors
DOI: https://doi.org/10.1063/5.0162768
[2022] Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study
DOI: https://doi.org/10.3390/s22010352
[2022] Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan
DOI: https://doi.org/10.1109/access.2022.3168985
[2022] Deep Learned Features Selection Algorithm: Removal Operation of Anomaly Feature Maps (Ro-Afm)
DOI: https://doi.org/10.2139/ssrn.4288721
[2022] Prognostic Significance of Pulmonary Arterial Wedge Pressure Estimated by Deep Learning in Acute Heart Failure
DOI: https://doi.org/10.1002/ehf2.14282
[2022] Fast screening framework for infection control scenario identification
DOI: https://doi.org/10.3934/mbe.2022574
[2022] Quantitative estimation of pulmonary artery wedge pressure from chest radiographs by a regression convolutional neural network
DOI: https://doi.org/10.1093/eurheartj/ehac544.928
[2022] Quantitative estimation of pulmonary artery wedge pressure from chest radiographs by a regression convolutional neural network
DOI: https://doi.org/10.1007/s00380-022-02043-w
[2021] Branch Analysis of the Random Forest for Recognition of Car Motion Sickness from Eyesight Features
[2021] Intelligent Edutab Box: Supporting Real-Time Face-to-Face Collaborative Learning
DOI: https://doi.org/10.20965/jaciii.2021.p0258
[2021] Effectiveness of Strategy of Cancelling Stay-at-home Orders on the Number of COVID-19 Infectors and Outgoing People -- Strategies Verification based on Multi-agent simulation
[2021] Multiagent Simulation Approach to Pedestrian Laminar Flow With Group Walking Models
DOI: https://doi.org/10.1109/access.2021.3049272
[2021] SIRVVD model-based verification of the effect of first and second doses of COVID-19/SARS-CoV-2 vaccination in Japan
DOI: https://doi.org/10.3934/mbe.2022047
[2021] Toward Personal Authentication Using Gesture Classification with EMG Data
DOI: https://doi.org/10.3156/jsoft.33.1_549
[2021] Mathematical Model Considering Effect of COVID-19 Contact-Confirming Application (COCOA) and “GoTo Travel Campaign”
DOI: https://doi.org/10.1088/1742-6596/2090/1/012022
[2021] Effectiveness of the COVID-19 Contact-Confirming Application Incorporating Secondary Indirect Contact Notification Function on Decreasing the Number of Infectors
DOI: https://doi.org/10.3156/jsoft.33.3_697
[2021] A mathematical model for verifying the effect of COVID-19 Contact-Confirming Application (COCOA) on reducing infectors -- On the case of GoTo travel campaign
[2021] Management model of taking seats for restaurant considering COVID-19 infection risk
[2021] RELIABILITY OF MULTI-AGENT BASED INFECTION SIMULATOR WITH PARAMETERS OF ISOLATION WARDS

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所属学会・役職（0 件）

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（49 件）

科研費（0 件）

所属学会・役職（0 件）