Studies that focused solely on traditional ML techniques include Castillo et al

Traditional ML, DL: Research in both traditional ML, DL often involves the use of multiple models simultaneously, reporting the best-performing model for specific settings · 2019

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Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches

cs.CL · 2025-05-21 · conditional · novelty 4.0

A systematic review of 93 papers on authorship analysis, summarizing ML, DL, and LLM methods, datasets, and open challenges from 2015 to 2024.

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Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches cs.CL · 2025-05-21 · conditional · none · ref 3
A systematic review of 93 papers on authorship analysis, summarizing ML, DL, and LLM methods, datasets, and open challenges from 2015 to 2024.

Studies that focused solely on traditional ML techniques include Castillo et al

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