Bakaki, P., Belyk, M., Trovati, M., & Bessis, N. (2026). An Enhanced FAIRed and eXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility. Sci (2413-4155), 8(6), 124. https://doi.org/10.3390/sci8060124
Chicago Style (17th ed.) CitationBakaki, Paul, Michel Belyk, Marcello Trovati, and Nik Bessis. "An Enhanced FAIRed and EXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility." Sci (2413-4155) 8, no. 6 (2026): 124. https://doi.org/10.3390/sci8060124.
MLA (9th ed.) CitationBakaki, Paul, et al. "An Enhanced FAIRed and EXplainable (eFAIR-X) AI Model and Dashboard for Open, Interdisciplinary Computational Research Reproducibility." Sci (2413-4155), vol. 8, no. 6, 2026, p. 124, https://doi.org/10.3390/sci8060124.