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Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques

https://doi.org/10.1115/detc2017-68304

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inferred← citeshttps://doi.org/10.2139/ssrn.4678929openalex-extracted

Human-Machine Co-Ideation Via Combinational Generative Model

inferred← citeshttps://doi.org/10.1007/s10956-024-10195-9openalex-snapshot

Applying Machine Learning to Intelligent Assessment of Scientific Creativity Based on Scientific Knowledge Structure and Eye-Tracking Data

inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105697openalex-snapshot

Review of artificial intelligence applications in engineering design perspective

inferred← citeshttps://doi.org/10.1017/pds.2025.10092openalex-snapshot

Bridging the gap in engineering creativity evaluations: exploring novice eye-gaze behavior across design modalities

inferred← citeshttps://doi.org/10.1080/09544828.2025.2504309openalex-snapshot

Human-AI co-ideation via combinational generative model

inferred← citeshttps://doi.org/10.1115/1.4042615openalex-snapshot

Wisdom of Microcrowds in Evaluating Solutions to Esoteric Engineering Problems

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