Zobrazeno 1 - 10
of 27 065
pro vyhledávání: '"Kim Byung"'
Ultrasound is widely employed for clinical intervention and diagnosis, due to its advantages of offering non-invasive, radiation-free, and real-time imaging. However, the accessibility of this dexterous procedure is limited due to the substantial tra
Externí odkaz:
http://arxiv.org/abs/2409.02337
Electroencephalography (EEG) offers non-invasive, real-time mental workload assessment, which is crucial in high-stakes domains like aviation and medicine and for advancing brain-computer interface (BCI) technologies. This study introduces a customiz
Externí odkaz:
http://arxiv.org/abs/2408.13930
Autor:
Bae, Seoyeon, Lee, Yoon Kyung, Lee, Jungcheol, Kim, Jaeheon, Jeon, Haeseong, Lim, Seung-Hwan, Kim, Byung-Cheol, Hahn, Sowon
A growth mindset has shown promising outcomes for increasing empathy ability. However, stimulating a growth mindset in VR-based empathy interventions is under-explored. In the present study, we implemented prosocial VR content, Our Neighbor Hero, foc
Externí odkaz:
http://arxiv.org/abs/2404.00300
Autor:
So, Jae-hee, Chang, Joonhwan, Kim, Eunji, Na, Junho, Choi, JiYeon, Sohn, Jy-yong, Kim, Byung-Hoon, Chu, Sang Hui
Recent advancements in Large Language Models (LLMs) have accelerated their usage in various domains. Given the fact that psychiatric interviews are goal-oriented and structured dialogues between the professional interviewer and the interviewee, it is
Externí odkaz:
http://arxiv.org/abs/2403.17428
Improving the accessibility of psychotherapy with the aid of Large Language Models (LLMs) is garnering a significant attention in recent years. Recognizing cognitive distortions from the interviewee's utterances can be an essential part of psychother
Externí odkaz:
http://arxiv.org/abs/2403.14255
Graph Neural Networks (GNNs) have shown promise in learning dynamic functional connectivity for distinguishing phenotypes from human brain networks. However, obtaining extensive labeled clinical data for training is often resource-intensive, making p
Externí odkaz:
http://arxiv.org/abs/2403.06432
Graph Transformers have recently been successful in various graph representation learning tasks, providing a number of advantages over message-passing Graph Neural Networks. Utilizing Graph Transformers for learning the representation of the brain fu
Externí odkaz:
http://arxiv.org/abs/2312.14939
Deep neural networks trained on Functional Connectivity (FC) networks extracted from functional Magnetic Resonance Imaging (fMRI) data have gained popularity due to the increasing availability of data and advances in model architectures, including Gr
Externí odkaz:
http://arxiv.org/abs/2312.01994
Sentiment analysis (SA) is an emerging field in text mining. It is the process of computationally identifying and categorizing opinions expressed in a piece of text over different social media platforms. Social media plays an essential role in knowin
Externí odkaz:
http://arxiv.org/abs/2311.11250