Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Hyung Jeong Yang"'
Autor:
Eu-Tteum Baek, Hyung Jeong Yang, Soo Hyung Kim, Guee Sang Lee, In-Jae Oh, Sae-Ryung Kang, Jung-Joon Min
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Background The Cox proportional hazards model is commonly used to predict hazard ratio, which is the risk or probability of occurrence of an event of interest. However, the Cox proportional hazard model cannot directly generate an individual
Externí odkaz:
https://doaj.org/article/94c30b9fbe77438ebfdc288b24aa88d2
Publikováno v:
IEEE Access, Vol 8, Pp 162973-162981 (2020)
Medical image analysis is one of the research fields that had huge benefits from deep learning in recent years. To earn a good performance, the learning model requires large scale data with full annotation. However, it is a big burden to collect a su
Externí odkaz:
https://doaj.org/article/08a238122013426395a3617746d8448b
Autor:
Eu-Tteum Baek, Hyung Jeong Yang
Publikováno v:
IEEE Access, Vol 7, Pp 134505-134513 (2019)
Stereo matching methods have achieved remarkable improvements by exploiting various attempts. However, most stereo matching algorithms still suffer from problems such as ambiguous region and inherent ambiguities. In particular, some problems affectin
Externí odkaz:
https://doaj.org/article/85c677f9553145588abc0c0e42a4af84
Publikováno v:
IEEE Access, Vol 12, Pp 172774-172784 (2024)
Hand and gaze pointers are effective visual communication cues for remote collaboration. In this paper, we studied the effect of combining them when two basic visual cues (hand gestures and sketches) are available. We conducted a user study with 24 p
Externí odkaz:
https://doaj.org/article/6364a1cf49ac4b55b79f299dbc027445
Publikováno v:
IEEE Access, Vol 12, Pp 117176-117202 (2024)
Early identification of patients’ clinical status plays a critical role in intensive care unit (ICU) care. The increased adoption of electronic health records (EHRs) in the ICU creates prospects for deep learning (DL) application systems in this di
Externí odkaz:
https://doaj.org/article/17a637c20d15446dae5893728bb18a43
Autor:
Prabesh Paudel, Hyung-Jeong Yang, Anjitha Divakaran, Seung-Won Kim, Ji-Eun Shin, Soo Hyung Kim
Publikováno v:
IEEE Access, Vol 12, Pp 101004-101015 (2024)
Empathy has emerged as a valuable tool for communication in today’s digital world, with empathic computing serving as an integral component in facilitating human-like changes such as humanoid robots and fostering comfortable interactions. This arti
Externí odkaz:
https://doaj.org/article/b25f0a12d5984c4ea6aac1751e233a1c
Autor:
Ngoc Anh Thi Nguyen, Quang-Bang Tao, Hyung-Jeong Yang, Hieu Trung Huynh, Nguyen Tran Quoc Vinh, Duy Khanh Ninh
Publikováno v:
IEEE Access, Vol 12, Pp 61717-61740 (2024)
The paper presents a novel recognition framework for incomplete noninvasive Electroencephalography (EEG) signals relying on the recent advances in tensor algebra, named as An Innovative Tensor Algebra-based Detection Framework for Incomplete Noninvas
Externí odkaz:
https://doaj.org/article/5f6be2d362104c2e8a4744c37ca06049
Publikováno v:
IEEE Access, Vol 12, Pp 20479-20489 (2024)
Detecting depression involves using standardized questionnaires like the Patient Health Questionnaires (PHQ-8/9). Yet, patients might not always provide genuine responses, leading to potential misdiagnoses. Therefore, the need for a means to detect d
Externí odkaz:
https://doaj.org/article/d9a11b4547da42cfac85f4b08eae22cb
Residual Relation-Aware Attention Deep Graph-Recurrent Model for Emotion Recognition in Conversation
Autor:
Anh-Quang Duong, Ngoc-Huynh Ho, Sudarshan Pant, Seungwon Kim, Soo-Hyung Kim, Hyung-Jeong Yang
Publikováno v:
IEEE Access, Vol 12, Pp 2349-2360 (2024)
This work addresses Emotion Recognition in Conversation (ERC), a task with substantial implications for the classification of the underlying emotions in spoken encounters. Our focus is on utilizing a fully connected directed acyclic graph to represen
Externí odkaz:
https://doaj.org/article/09aee379439d412e9109ba89989aefd6
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8958 (2024)
As the metaverse evolves, characterized by its immersive and interactive landscapes, it presents novel opportunities for empathy research. This study aims to systematically review how empathy manifests in metaverse environments, focusing on two disti
Externí odkaz:
https://doaj.org/article/d8f012d6570b4f9d91ef75afba12df0d