Titlebook: Soft Computing in Data Science; 7th International Co Marina Yusoff,Tao Hai,Eisuke Kita Conference proceedings 2023 The Editor(s) (if applic

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书目名称Soft Computing in Data Science影响因子(影响力)




书目名称Soft Computing in Data Science影响因子(影响力)学科排名




书目名称Soft Computing in Data Science网络公开度




书目名称Soft Computing in Data Science网络公开度学科排名




书目名称Soft Computing in Data Science被引频次




书目名称Soft Computing in Data Science被引频次学科排名




书目名称Soft Computing in Data Science年度引用




书目名称Soft Computing in Data Science年度引用学科排名




书目名称Soft Computing in Data Science读者反馈




书目名称Soft Computing in Data Science读者反馈学科排名

赏心悦目

https://doi.org/10.1007/978-981-99-0405-1artificial intelligence; computer vision; machine learning; pattern recognition; computer engineering; ne

钻孔

978-981-99-0404-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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1865-0929 d in topical sections on ​​​artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning..978-981-99-0404-4978-981-99-0405-1Series ISSN 1865-0929 Series E-ISSN 1865-0937

险代理人

Discovering Popular Topics of Sarawak Gazette (SaGa) from Twitter Using Deep Learningas built (according to some keyword search criteria). The Tweet corpus will then be analyzed to extract the topic based on a topic modeling, specifically, Latent Dirichlet Allocation (LDA). Then, the topics will be further classified with Convolutional Neural Network (CNN) classifier.

破布

Explainability for Clustering Models them harder to understand. The explainability of the algorithms and models in practice has become a necessity as these models are being widely adopted to make significant and consequential decisions. It makes it even more important for us to keep our understanding of the decisions and results of AI