Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kento Uemura"'
Autor:
Kazuaki Akahoshi, Kazuya Akahoshi, Yuki Shiratsuchi, Shinichi Tamura, Kento Uemura, Reiichi Sashihara, Yoshihiro Ohishi, Kanako Inoue, Tadashi Koga, Hidenobu Koga
Publikováno v:
The Turkish Journal of Gastroenterology, Vol 34, Iss 11, Pp 1156-1162 (2023)
Externí odkaz:
https://doaj.org/article/95d16942f93241e89ce295e4409387dc
Publikováno v:
PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43c35cde3455d4290580d70732f847ee
https://doi.org/10.1007/978-3-031-21203-1_8
https://doi.org/10.1007/978-3-031-21203-1_8
Autor:
Hiroyoshi Masuda, Hiroki Morishita, Rikuto Sasaki, Kaito Takahata, Kento Uemura, Iwao Hachiya
Publikováno v:
ChemistrySelect. 7
Autor:
Kenta Sato, Kento Uemura, Kazuaki Akahoshi, Reiichi Sashihara, Kazuya Akahoshi, Yoriko Kaneshiro, Shinichi Tamura
Publikováno v:
World Journal of Gastrointestinal Endoscopy. 13:111-114
Endoscopists are at high risk of allowing transmission of coronavirus disease 2019 (COVID-19) during gastrointestinal endoscopy (GIE) procedures under pandemic conditions. The main avenues of droplet-containing aerosol generated during GIE are the mo
Autor:
Kazuya, Akahoshi, Shinichi, Tamura, Kazuaki, Akahoshi, Yoriko, Kaneshiro, Reiichi, Sashihara, Kento, Uemura, Kenta, Sato
Publikováno v:
World Journal of Gastrointestinal Endoscopy
Endoscopists are at high risk of allowing transmission of coronavirus disease 2019 (COVID-19) during gastrointestinal endoscopy (GIE) procedures under pandemic conditions. The main avenues of droplet-containing aerosol generated during GIE are the mo
Autor:
Kento Uemura, Shohei Shimizu
Publikováno v:
ICASSP
Discovering causal relations in complex systems is an important problem in many research fields. To describe such systems involving nonlinear causal relations, the post-nonlinear (PNL) causal model has been proposed. However, despite its identifiabil
Post-hoc explanation methods for machine learning models have been widely used to support decision-making. One of the popular methods is Counterfactual Explanation (CE), also known as Actionable Recourse, which provides a user with a perturbation vec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142410ad7f99b566c0ea8fa819672f81
Autor:
Isao Ono, Kento Uemura
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 20(No. 3):429-437
This study proposes a new real-coded genetic algorithm (RCGA) taking account of extrapolation, which we call adaptive extrapolation RCGA (AEGA). Real-world problems are often formulated as black-box function optimization problems and sometimes have r
Publikováno v:
IEEE Congress on Evolutionary Computation
In this paper, we propose a new real-coded genetic algorithm (RCGA) for implicit constrained black-box function optimization. On implicit constrained problems, there often exist active constraints of which the optima lie on the boundaries, which make
Publikováno v:
IEEE Congress on Evolutionary Computation
In this paper, we propose a new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms (RCGAs). In the continuous function optimization, Evolutionary Algorithms (EAs) are one of the most effective optimization methods. H