Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2927590
Abstract: Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to develop effective diagnostic method with insufficient… read more here.
Keywords: rotating machines; machines weakly; supervised data; transfer learning ... See more keywords
Hierarchical Reduced-Space Drift Detection Framework for Multivariate Supervised Data Streams
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3111756
Abstract: In a streaming environment, the characteristics of the data themselves and their relationship with the labels may change over time. Most drift detection methods for supervised data streams are performance-based, that is, they detect changes… read more here.
Keywords: data streams; drift detection; space; supervised data ... See more keywords
Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning
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DOI: 10.3390/app13095573
Abstract: Data-to-text generation plays an important role in natural language processing by processing structured data and helping people understand those data by generating user-friendly descriptive text. It can be applied to news generation, financial report generation,… read more here.
Keywords: distantly supervised; data text; generation; supervised data ... See more keywords