Incremental Concept Screening
Incremental Concept Screening is a systematic evaluation method within concept screening that distinguishes itself by sequentially assessing individual paper-level contributions—such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics—against predefined criteria to determine their incremental novelty and academic merit relative to existing knowledge.
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2017–2026
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Explicitly biased generalization
Diana F. Gordon, Donald Perlis · Computational Intelligence · 1989 · 35 citations
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1 publications · 35 citations
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