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ORCIDYusuke Kobayashi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yusuke Kobayashi 0001
![[0000-0001-9478-7307]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9478-7307")
— University of Kyoto, Japan (and 2 more) - Yusuke Kobayashi 0002 — Tokyo Institute of Technology, Dept. of Electronics and Applied Physics
- Yusuke Kobayashi 0003 — Tohoku University
- Yusuke Kobayashi 0004 — Yokohama National University
- Yusuke Kobayashi 0005 — NEC Corporation, Computers Division
- Yusuke Kobayashi 0006 — Keio University
- Yusuke Kobayashi 0007 — Okajama University
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2020 – today
- 2024
[j4]Kenta Sasaki, Daisuke Fujita, Kenta Takatsuji, Yoshihiro Kotoura, Masataka Minami, Yusuke Kobayashi, Tsuyoshi Sukenari, Yoshikazu Kida, Kenji Takahashi, Syoji Kobashi:
Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2143-2152 (2024)- [c13]Suguru Kanoga, Takeshi Nomaguchi, Yusuke Kobayashi, Takayuki Hoshino, Chiaki Tsutsumi, Ryu Sugimoto, Toru Kouyama, Ryosuke Nakamura:
A Recurrent Deep Learning-Based Monthly Deforestation Prediction Model in Eight Areas for Brazilian Amazon: A Pilot Study. IGARSS 2024: 5208-5212 - 2023
- [c12]Kenta Sasaki, Daisuke Fujita, Kenta Takatsuji, Yoshihiro Kotoura, Tsuyoshi Sukenari, Masataka Minami, Yusuke Kobayashi, Yoshikazu Kida, Kenji Takahashi, Syoji Kobashi:
Detection of osteochondritis dissecans using convolutional neural networks for computer-aided diagnosis of baseball elbow. ISMVL 2023: 59-63 - 2022
- [j3]Ryota Yoshimura, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi:
Particle Filter Design Based on Reinforcement Learning and Its Application to Mobile Robot Localization. IEICE Trans. Inf. Syst. 105-D(5): 1010-1023 (2022) - [c11]Asei Inoue, Yusuke Kobayashi:
An Additive Approximation Scheme for the Nash Social Welfare Maximization with Identical Additive Valuations. IWOCA 2022: 341-354 - [c10]Rieko Hojo, Chiemi Kan, Christoph Bördlein, Masaki Nobuhiro, Yusuke Kobayashi, Nobuyuki Yasui, Yuki Asano, Yuka Koremura, Shoken Shimizu:
Introduction of experiment examining the relationship between human and robot at automobile manufacturing. LifeTech 2022: 503-505 - [c9]Chiemi Kan, Yuka Koremura, Masaki Nobuhiro, Yusuke Kobayashi, Yuki Asano, Nobuyuki Yasui, Shoken Shimizu, Reiko Hojo:
Study on well-being of workers under corporative worksite at an automobile manufacturing. LifeTech 2022: 506-507 - [c8]Shoken Shimizu, Chiemi Kan, Christoph Bördlein, Masaki Nobuhiro, Yusuke Kobayashi, Nobuyuki Yasui, Yuki Asano, Yuka Koremura, Rieko Hojo:
Psychological and subjective well-being under corporative worksite at an automobile manufacturing. LifeTech 2022: 508-509 - [c7]Yuka Koremura, Chiemi Kan, Christoph Bördlein, Yusuke Kobayashi, Masaki Nobuhiro, Yuki Asano, Nobuyuki Yasui, Rieko Hojo, Shoken Shimizu:
Establishment of a task analysis procedure in topography of workers in behavior-based safety using ELAN. LifeTech 2022: 510-511 - [c6]Kenta Sasaki, Daisuke Fujita, Kenta Takatsuji, Yoshihiro Kotoura, Masataka Minami, Yusuke Kobayashi, Tsuyoshi Sukenari, Yoshikazu Kida, Kenji Takahashi, Syoji Kobashi:
Detection of osteochondritis dissecans in ultrasound images for computer-aided diagnosis of baseball elbow. SMC 2022: 1537-1542 - [i1]Asei Inoue, Yusuke Kobayashi:
An Additive Approximation Scheme for the Nash Social Welfare Maximization with Identical Additive Valuations. CoRR abs/2201.01419 (2022) - 2021
- [c5]Ryota Yoshimura, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi:
Adversarial Reinforcement Learning Based Robustification of Highlighted Map for Mobile Robot Localization. SICE 2021: 599-605 - 2020
- [j2]Ryota Yoshimura, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi:
Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning. IEEE Access 8: 201527-201544 (2020) - [c4]Hiroaki Inoue, Masaya Hori, Yu Kikuchi, Mayu Maeda, Yusuke Kobayashi, Takuya Kiryu, Toshiya Tsubota, Shunji Shimizu:
Basic Study on Measuring Brain Activity for Evaluation Method of Visually Impaired Person's Orientation and Mobility Skills. HCI (49) 2020: 63-70 - [c3]Masaya Hori, Yusuke Kobayashi, Tatsuo Hisaoka, Takuya Kiryu, Yu Kikuchi, Hiroaki Inoue, Shunji Shimizu:
Fundamental Study for Analysis of Walking Considering Base of Support for Prevention of Stumble Accident. HCI (49) 2020: 455-463
2010 – 2019
- 2019
- [j1]Shuhei Fukunaga, Tsuyoshi Funaki, Shinsuke Harada, Yusuke Kobayashi:
An experimental study on dynamic junction temperature estimation of SiC MOSFET with built-in SBD. IEICE Electron. Express 16(17): 20190392 (2019) - 2016
- [c2]Yusuke Kobayashi, Takashi Okamoto, Seiichi Koakutsu:
A Pareto optimal solution visualization method using SOM-NG with learning parameter optimization. SMC 2016: 4525-4531 - 2012
- [c1]Yusuke Kobayashi, Hidenori Kawamura, Keiji Suzuki:
Counter attack detection with machine learning from log files of RoboCup simulation. SCIS&ISIS 2012: 1821-1826
Coauthor Index
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