Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Takayoshi YAMASHITA"'
Autor:
Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
Publikováno v:
IEEE Access, Vol 12, Pp 100659-100675 (2024)
Student performance prediction was deployed to predict learning performance to identify at-risk students and provide interventions for them. However, prediction models should also consider external factors along with learning activities, such as cour
Externí odkaz:
https://doaj.org/article/c132f9300ed643cc91eee7468b19ee16
Publikováno v:
IEEE Access, Vol 12, Pp 86553-86571 (2024)
Deep reinforcement learning (DRL) can learn an agent’s optimal behavior from the experience it gains through interacting with its environment. However, since the decision-making process of DRL agents is a black-box, it is difficult for users to und
Externí odkaz:
https://doaj.org/article/a0acec4c95a94ddc964cdfde2001b234
Autor:
Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Bjorn Stenger
Publikováno v:
IEEE Access, Vol 12, Pp 63995-64005 (2024)
Most video anomaly detection approaches are based on non-semantic features, which are not interpretable, and prevent the identification of anomaly causes. Therefore, we propose a caption-guided interpretable video anomaly detection framework that exp
Externí odkaz:
https://doaj.org/article/5d02f50d0f0e4ff198b294daaf4af7fc
Autor:
Takafumi Koyama, Kazuki Tobita, Tatsuto Kawaguchi, Shuhei Uchida, Eiji Koyama, Nobuhisa Kodera, Yusuke Tamaki, Yuri Otomaru, Hirokazu Miyashita, Takayoshi Yamashita, Shingo Mizuno, Masato Murakami, Shigeru Saito
Publikováno v:
Journal of Arrhythmia, Vol 39, Iss 6, Pp 894-900 (2023)
Abstract Background Previous studies have revealed the risk factors for femoral pseudoaneurysms (FPA). Most data on FPA are based on coronary and peripheral interventions, with limited studies focusing on atrial fibrillation (AF) ablation. However, p
Externí odkaz:
https://doaj.org/article/3df2e6549e3a49638ba752cbcb93d9ae
A case of chronic total occlusion in popliteal artery recanalized by double snare piercing technique
Autor:
Hirokazu Miyashita, Kazuki Tobita, Syuhei Uchida, Eiji Koyama, Yusuke Tamaki, Takayoshi Yamashita, Shigeru Saito
Publikováno v:
CVIR Endovascular, Vol 6, Iss 1, Pp 1-5 (2023)
Abstract Background Although majority of cases with chronic total occlusion (CTO) in femoro-popliteal lesion were treated with antegrade approach only, some lesions require alternative approach due to its complexity. Bi-directional approach is useful
Externí odkaz:
https://doaj.org/article/ad6ac6103f024aa0a168127518bf74b3
Publikováno v:
IEEE Access, Vol 11, Pp 62986-62997 (2023)
The Prototypical Part Network (ProtoPNet) is an interpretable deep learning model that combines the strong power of deep learning with the interpretability of case-based reasoning, thereby achieving high accuracy while keeping its reasoning process i
Externí odkaz:
https://doaj.org/article/27821a01e07d4bca8bcf032f8825c109
Publikováno v:
Sensors, Vol 23, Iss 22, p 9282 (2023)
Action quality assessment (AQA) tasks in computer vision evaluate action quality in videos, and they can be applied to sports for performance evaluation. A typical example of AQA is predicting the final score from a video that captures an entire figu
Externí odkaz:
https://doaj.org/article/694fe2e12d324bcfb2720b167e119489
Publikováno v:
IATSS Research, Vol 43, Iss 4, Pp 244-252 (2019)
Various image recognition tasks were handled in the image recognition field prior to 2010 by combining image local features manually designed by researchers (called handcrafted features) and machine learning method. After entering the 2010, However,
Externí odkaz:
https://doaj.org/article/54a125a3133d43959f8d743e43c3cf4f
Autor:
Masanobu Ishii, Koichi Kaikita, Tatsuro Mitsuse, Nobuhiro Nakanishi, Yu Oimatsu, Takayoshi Yamashita, Suguru Nagamatsu, Noriaki Tabata, Koichiro Fujisue, Daisuke Sueta, Seiji Takashio, Yuichiro Arima, Kenji Sakamoto, Eiichiro Yamamoto, Kenichi Tsujita
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 23, Iss , Pp - (2019)
Introduction: Bleeding complications after transcatheter aortic valve implantation (TAVI) is a major problem in clinical practice. However, there is few information on thrombogenicity after TAVI. The aim of this study was to establish a monitoring of
Externí odkaz:
https://doaj.org/article/364c8023b0024425aba520d5df66cd30
Autor:
Noriaki Tabata, Eiichiro Yamamoto, Seiji Hokimoto, Takayoshi Yamashita, Daisuke Sueta, Seiji Takashio, Yuichiro Arima, Yasuhiro Izumiya, Sunao Kojima, Koichi Kaikita, Kunihiko Matsui, Kazuteru Fujimoto, Kenji Sakamoto, Hideki Shimomura, Ryusuke Tsunoda, Toyoki Hirose, Natsuki Nakamura, Naritsugu Sakaino, Shinichi Nakamura, Nobuyasu Yamamoto, Toshiyuki Matsumura, Ichiro Kajiwara, Shunichi Koide, Tomohiro Sakamoto, Koichi Nakao, Shuichi Oshima, Kenichi Tsujita
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 6, Iss 8 (2017)
BackgroundThe CHADS2 score has mainly been used to predict the likelihood of cerebrovascular accidents in patients with atrial fibrillation. However, increasing attention is being paid to this scoring system for risk stratification of patients with c
Externí odkaz:
https://doaj.org/article/5a0e4a2860fd496ca66f6eff41dfd023