A sequential augmentation method to eliminate multicollinearity
Sign Up to like & getrecommendations! Published in 2017 at "Quality Engineering"
DOI: 10.1080/08982112.2016.1258474
Abstract: ABSTRACT This article presents a new augmentation method to eliminate multicollinearity in observational datasets that contain several correlated variables. The purpose is to eliminate the correlations to facilitate the application of the least squares regression… read more here.
Keywords: method eliminate; eliminate multicollinearity; augmentation method;
Iterative Translation-Based Data Augmentation Method for Text Classification Tasks
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DOI: 10.1109/access.2021.3131446
Abstract: A well-known limitation of existing rule-based text augmentation is that it cannot be applied to other languages because it depends on grammatical and structural characteristics. Moreover, most text Generative Adversarial Networks (GAN) are unstable in… read more here.
Keywords: iterative translation; augmentation method; translation based; sentence ... See more keywords
A Novel Data Augmentation Method for Improved Visual Crack Detection Using Generative Adversarial Networks
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DOI: 10.1109/access.2023.3251988
Abstract: Condition monitoring and inspection are core activities for assessing and evaluating the health of critical infrastructure spanning from road networks to nuclear power stations. Defect detection on visual inspections of such assets is a field… read more here.
Keywords: data augmentation; augmentation method; generative adversarial; detection ... See more keywords
A New Data Augmentation Method for Time Series Wearable Sensor Data Using a Learning Mode Switching-Based DCGAN
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DOI: 10.1109/lra.2021.3103648
Abstract: This letter describes a new image augmentation method based on a DCGAN considering mode switching in terms of transient learning accuracy threshold on the problem of human gesture recognition through imaging of wearable sensor time-series… read more here.
Keywords: image; mode; augmentation method; learning mode ... See more keywords