Yoshiyuki Kobayashi
Orcid: 0000-0003-1753-2970
According to our database1,
Yoshiyuki Kobayashi
authored at least 24 papers
between 2003 and 2023.
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Bibliography
2023
Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson's Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT.
Sensors, November, 2023
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT).
Sensors, July, 2023
Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App.
Sensors, January, 2023
Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
2022
Experimental Verification of Micro-Doppler Radar Measurements of Fall-Risk-Related Gait Differences for Community-Dwelling Elderly Adults.
Sensors, 2022
Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model.
Sensors, 2022
Automated retention time prediction of new psychoactive substances in gas chromatography.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
2021
Development of QSAR models for prediction of fish bioconcentration factors using physicochemical properties and molecular descriptors with machine learning algorithms.
Ecol. Informatics, 2021
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions.
CoRR, 2021
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives.
CoRR, 2021
Micro-Doppler Radar Gait Measurement to Detect Age- and Fall Risk-Related Differences in Gait: A Simulation Study on Comparison of Deep Learning and Gait Parameter-Based Approaches.
IEEE Access, 2021
Radar-based Gait Classification of Elderly Non-Fallers and Multiple Fallers Using Machine Learning.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021
2019
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning.
Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Modeling and analysis of individual with lower extremity amputation locomotion using prosthetic feet and running-specific prostheses.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2013
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
2009
Automatic Generation of Musical Instrument Detector by Using Evolutionary Learning Method.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009
2003
Robust audio watermark method using sinusoid patterns based on pseudo-random sequences.
Proceedings of the Security and Watermarking of Multimedia Contents V, 2003