2014853.txt ✓ ❲Authentic❳

: This paper introduced the use of syntactic n-grams (n-grams following paths in dependency trees rather than just linear word order) to improve tasks like authorship attribution and sentiment analysis. Context of ".txt"

: Expert Systems with Applications , Volume 41, Issue 3, pages 853–860 , 2014. 2014853.txt

: Early influential work on using Deep Convolutional Neural Networks (CNNs) to break image-based security systems. : This paper introduced the use of syntactic

The identifier contains "2014" (the year) and "853" (a likely page number or reference ID). It strongly points to the following influential paper: The identifier contains "2014" (the year) and "853"

: Some automated systems or repositories (like arXiv or ResearchGate ) export bibliographical data or full-text extractions as .txt files named after the publication year and ID. Other Potential "Deep" Papers

CAPTCHA recognition based on deep convolutional neural network

: Research often cited in the context of industrial monitoring (like CNC machine tools) using spindle current data and deep learning.