6 天前 - … Cloud services with ML functionalities, especially Automated Machine Learning (…
ML methods in public clouds, focusing on prediction, image classification, text analytics, and …

12 天前 - … Due to its heterogeneous nature and significant format diversity, ER provides a
distinctive set of problems for conventional text classification (TC) techniques. Since Logistic …

15 天前 - … methods. This paper presents a novel approach for video classification and the
proposed model deep learning model that combines the strengths of two different deep learning …

16 天前 - … We have a text classification model \(F: {\mathbb {X}} \rightarrow {\mathbb {Y}}\) that
maps the input space \({\mathbb {X}}\) to the output space \({\mathbb {Y}}\). In a document \({\…

18 天前 - … To accurately calculate the carbon emissions of buildings, in this study, we propose
a building materials text classification model operating via data enhancement and layered …

19 天前 - … recognition, classification, and edge detection across datasets. Text mining is applied
to … systems are integrated with machine learning methods to enhance model performance. …

20 天前 - … algorithms in biomedical text classification require a significant number of costly
training texts… To reduce labeling expenses, it is common practice to use the active learning (AL) …

20 天前 - … learning, particularly deep learning methods, have … text classification, without
developing an effective end-to-end system for extracting therapy-response links from narrative texts…

22 天前 - … Moreover, we regard the classifier training as a hybrid learning of semi-supervised
and noisy-labels, and propose a new training strategy, termed sync-denoising. Extensive …

23 天前 - … This study combines XAI with ensemble learning, utilizing multiple learning algorithms
to improve performance, and proposes a robust and interpretable system to detect spam …