"Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning ..."

Nicolas Douard et al. (2025)

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DOI: 10.3390/MAKE7010007

access: open

type: Journal Article

metadata version: 2025-05-09

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Nicolas Douard, Ahmed Samet, Georgios K. Giakos, Denis Cavallucci:
Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation. Mach. Learn. Knowl. Extr. 7(1): 7 (2025)

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