Zobrazeno 1 - 10
of 2 923
pro vyhledávání: '"Label propagation"'
Publikováno v:
大数据, Vol 10, Pp 96-108 (2024)
Behavioral representations of the patients with depression reflect the clinical features and condition of the patients, therefore it is beneficial for disease diagnosis. However, in the construction of current depression lexicon, the correlation betw
Externí odkaz:
https://doaj.org/article/0547b7dbeb404d40bd29f77839ff7784
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 520-536 (2024)
Single-cell RNA sequencing technologies have been pivotal in advancing the development of algorithms for clustering heterogeneous cell populations. Existing methods for utilizing scRNA-seq data to identify cell types tend to neglect the beneficial im
Externí odkaz:
https://doaj.org/article/2dd9897c54c947a2acee586c2d24b0b3
Publikováno v:
IEEE Access, Vol 12, Pp 126774-126792 (2024)
Emotion recognition holds significant potential for various real-world applications due to its reliability and precision. Nevertheless, variations in EEG patterns among individuals restrict the ability of emotion classifiers to generalize across diff
Externí odkaz:
https://doaj.org/article/0f178dbf8ae74e58947c772fe272a13a
Publikováno v:
IEEE Access, Vol 12, Pp 81221-81235 (2024)
This study aimed to investigate the application of label propagation techniques to propagate labels among photoplethysmogram (PPG) signals, particularly in imbalanced class scenarios and limited data availability scenarios, where clean PPG samples ar
Externí odkaz:
https://doaj.org/article/3939fea754684088841ab78140416c86
Publikováno v:
Information, Vol 15, Iss 10, p 591 (2024)
Recently, considerable attention has been directed toward graph-based semi-supervised learning (GSSL) as an effective approach for data labeling. Despite the progress achieved by current methodologies, several limitations persist. Firstly, many studi
Externí odkaz:
https://doaj.org/article/8162857a0e414d4ca607690d8e4d15bf
Autor:
G. Ramesh, J. Shreyas, J. Manoj Balaji, Ganesh N. Sharma, H. L. Gururaj, N. N. Srinidhi, S. S. Askar, Mohamed Abouhawwash
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Handwritten character recognition is one of the classical problems in the field of image classification. Supervised learning techniques using deep learning models are highly effective in their application to handwritten character recognition. However
Externí odkaz:
https://doaj.org/article/2f9b41dbe3024f5c9f2df67aa8dd817a
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The ability of fast restoration reflects power system resilience and safety. This paper proposes a partitioning decision-making method for parallel restoration based on the label propagation algorithm and the cooperative game theory. The topological
Externí odkaz:
https://doaj.org/article/795e097e3aa142f1afcdc9e0953bc322
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2499 (2024)
Due to the intricate terrain and restricted resources, hyperspectral image (HSI) datasets captured in real-world scenarios typically contain noisy labels, which may seriously affect the classification results. To address this issue, we work on a univ
Externí odkaz:
https://doaj.org/article/9832991a6f9b4418bedefcbd162a83b1
Publikováno v:
Frontiers in Psychology, Vol 14 (2024)
Stress, a natural process affecting individuals' wellbeing, has a profound impact on overall quality of life. Researchers from diverse fields employ various technologies and methodologies to investigate it and alleviate the negative effects of this p
Externí odkaz:
https://doaj.org/article/281b931f23de4a6fb930a5c5526b65a7
Autor:
Mohsen Chekin, Amin Mehranzadeh
Publikováno v:
Transactions on Fuzzy Sets and Systems, Vol 2, Iss 1, Pp 22-43 (2023)
The proliferation of the web and social networks has made people more connected to their friends and neighbors than ever before. The desire of individuals to relate to similar tastes and choices in a social network leads to the formation of clu
Externí odkaz:
https://doaj.org/article/f3dcc14d36f64a5a87fabada313ab2df