2014853.txt Apr 2026

: 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

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

: It may refer to a specific entry in a text-based dataset (like the PAN authorship attribution datasets) used to test the "deep" learning or machine learning models described in the paper.

: 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" : Research often cited in the 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

: Syntactic N-grams as Machine Learning Features for Natural Language Processing : This paper introduced the use of syntactic

If you are looking for a paper specifically titled "Deep..." or involving deep learning from that era, you might be referring to: