2014853.txt Apr 2026

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

: Early influential work on using Deep Convolutional Neural Networks (CNNs) to break image-based security systems. 2014853.txt

: 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" The identifier contains "2014" (the year) and "853"

: Syntactic N-grams as Machine Learning Features for Natural Language Processing Context of "

: 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

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

: Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh, and Liliana Chanona-Hernández