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Pattern Analysis and Machine Intelligence Literature Reviews: A Comprehensive Analysis


Core Concepts
Literature reviews in Pattern Analysis and Machine Intelligence (PAMI) field are evaluated comprehensively, highlighting the challenges and future directions for development.
Abstract
Literature reviews in PAMI consolidate knowledge but face concerns of redundancy. Proposed large language model-empowered bibliometric indicators for automated evaluation. Comparative analyses of reviews reveal differences between human-authored and AI-generated reviews. Subjective evaluation and typology of literature reviews provided. Insights into challenges and future directions for literature reviews in PAMI.
Stats
"There has been a striking surge in artificial intelligence publications, soaring from 200,000 in 2010 to nearly 500,000 by 2021." "The distribution of publication years of literature reviews in the RiPAMI database shows a growing trend in the number of reviews."
Quotes
"The entropy of the universe tends to a maximum." - Rudolf Clausius

Deeper Inquiries

질문 1

제안된 TNCSI 및 IEI 영향 지표는 PAMI 이외의 다른 분야에 어떻게 적용될 수 있습니까? 답변 1 여기에

질문 2

PAMI 분야에서 인간 작성 및 AI 생성 리뷰 간의 관찰된 차이의 함의는 무엇입니까? 답변 2 여기에

질문 3

문헌 고찰의 유형론이 다양한 분야에서 학술 작성물의 품질과 효과를 어떻게 향상시킬 수 있습니까? 답변 3 여기에
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