Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Ba, Hung"'
Autor:
Le-Duc, Khai, Zhang, Ryan, Nguyen, Ngoc Son, Pham, Tan-Hanh, Dao, Anh, Ngo, Ba Hung, Nguyen, Anh Totti, Hy, Truong-Son
Vision-language models have been extensively explored across a wide range of tasks, achieving satisfactory performance; however, their application in medical imaging remains underexplored. In this work, we propose a unified framework - LiteGPT - for
Externí odkaz:
http://arxiv.org/abs/2407.12064
Most domain adaptation (DA) methods are based on either a convolutional neural networks (CNNs) or a vision transformers (ViTs). They align the distribution differences between domains as encoders without considering their unique characteristics. For
Externí odkaz:
http://arxiv.org/abs/2403.18360
Person attribute recognition and attribute-based retrieval are two core human-centric tasks. In the recognition task, the challenge is specifying attributes depending on a person's appearance, while the retrieval task involves searching for matching
Externí odkaz:
http://arxiv.org/abs/2403.06119
Autor:
Nguyen, Thanh-Huy, Kha, Quang Hien, Truong, Thai Ngoc Toan, Lam, Ba Thinh, Ngo, Ba Hung, Dinh, Quang Vinh, Le, Nguyen Quoc Khanh
In recent years, many mammographic image analysis methods have been introduced for improving cancer classification tasks. Two major issues of mammogram classification tasks are leveraging multi-view mammographic information and class-imbalance handli
Externí odkaz:
http://arxiv.org/abs/2309.03506
Autor:
Thi Duyen Ngo, Hai Dang Kieu, Minh Hoa Nguyen, The Hoang-Anh Nguyen, Van Mao Can, Ba Hung Nguyen, Thanh Ha Le
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract This research presents a dataset consisting of electroencephalogram and eye tracking recordings obtained from six patients with amyotrophic lateral sclerosis (ALS) in a locked-in state and one hundred seventy healthy individuals. The ALS pat
Externí odkaz:
https://doaj.org/article/e53d8a361b4d416a92d9b98e427430fe
Publikováno v:
IEEE Access, Vol 12, Pp 36267-36279 (2024)
The Vision Transformer (ViT) model serves as a powerful model to capture and comprehend global information, particularly when trained on extensive datasets. Conversely, the Convolutional Neural Network (CNN) model is beneficial to training with small
Externí odkaz:
https://doaj.org/article/81112375e6dd4e498106e2eec085f108
Autor:
Park, Jae Hyeon, Kim, Ju Hyun, Ngo, Ba Hung, Kwon, Jung Eun, Park, Seunggi, Byun, Ji Sun, Cho, Sung In
Publikováno v:
In Measurement 15 March 2024 227
Publikováno v:
Studies in Economics and Finance, 2022, Vol. 40, Issue 1, pp. 138-154.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SEF-11-2021-0492
Autor:
Ba, Hung
In this study, we employ Generative Adversarial Networks as an oversampling method to generate artificial data to assist with the classification of credit card fraudulent transactions. GANs is a generative model based on the idea of game theory, in w
Externí odkaz:
http://arxiv.org/abs/1907.03355
Publikováno v:
IEEE Access, Vol 11, Pp 134969-134985 (2023)
In single-source unsupervised domain adaptation (SUDA), it is often assumed that a single-source domain can cover all target domain features. However, the limitation of labeled samples means that a model trained on a labeled source domain cannot alwa
Externí odkaz:
https://doaj.org/article/1a72431139924c968b0e84d14f33dfa9