Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Der-Chiang Li"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 6204-6233 (2022)
In the medical field, researchers are often unable to obtain the sufficient samples in a short period of time necessary to build a stable data-driven forecasting model used to classify a new disease. To address the problem of small data learning, man
Externí odkaz:
https://doaj.org/article/f97f4d61fc4c4014ba2831a219b32dac
Publikováno v:
SSM: Population Health, Vol 20, Iss , Pp 101264- (2022)
Significance: Few studies have analyzed how loneliness-related factors differ across generations for older adults in non-Western societies. Building upon the stress process model, this study aimed to explore the relationships between work-family conf
Externí odkaz:
https://doaj.org/article/60dfb0effbd64a4da037ede10b15357a
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 5131 (2022)
The cost of investing in new product development (NPD) is high, and it is a feasible way to use demand forecasts for customer or end-users as a decisive reference. However, this short-term time-series data has difficulties in learning because there i
Externí odkaz:
https://doaj.org/article/d2148692bbc24a8abd3d2ac65e13df40
Publikováno v:
Symmetry, Vol 14, Iss 3, p 567 (2022)
The problem of imbalanced data has a heavy impact on the performance of learning models. In the case of an imbalanced text dataset, minority class data are often classified to the majority class, resulting in a loss of minority information and low ac
Externí odkaz:
https://doaj.org/article/333520de20df45d59e04bfad3ab22b0b
Publikováno v:
Entropy, Vol 24, Iss 3, p 322 (2022)
Oversampling is the most popular data preprocessing technique. It makes traditional classifiers available for learning from imbalanced data. Through an overall review of oversampling techniques (oversamplers), we find that some of them can be regarde
Externí odkaz:
https://doaj.org/article/75fc0f39d2d2468d8c3df3ae120df61d
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10823 (2021)
In recent years, generative adversarial networks (GANs) have been proposed to generate simulated images, and some works of literature have applied GAN to the analysis of numerical data in many fields, such as the prediction of building energy consump
Externí odkaz:
https://doaj.org/article/fe9b46b4b0724a4391e380d7671035eb
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0181853 (2017)
It is difficult for learning models to achieve high classification performances with imbalanced data sets, because with imbalanced data sets, when one of the classes is much larger than the others, most machine learning and data mining classifiers ar
Externí odkaz:
https://doaj.org/article/165a60ccb7b044f59aec23a60f7c97e8
Publikováno v:
Sensors & Materials; 2024, Vol. 36 Issue 6, Part 3, p2439-2458, 20p
Publikováno v:
International Journal of Production Research. Jul2018, Vol. 56 Issue 14, p4954-4967. 14p.
Publikováno v:
Information Sciences. 607:1391-1407
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9645669fb2504aff7a1b7590e7f9a3d
https://doi.org/10.1016/j.ins.2022.06.067
https://doi.org/10.1016/j.ins.2022.06.067