Rabold, J., Siebers, M., & Schmid, U. (2022). Generating contrastive explanations for inductive logic programming based on a near miss approach. Machine learning, 111(5), 1799-1820. https://doi.org/10.1007/s10994-021-06048-w
Chicago-Zitierstil (17. Ausg.)Rabold, Johannes, Michael Siebers, und Ute Schmid. "Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach." Machine Learning 111, no. 5 (2022): 1799-1820. https://doi.org/10.1007/s10994-021-06048-w.
MLA-Zitierstil (9. Ausg.)Rabold, Johannes, et al. "Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach." Machine Learning, vol. 111, no. 5, 2022, pp. 1799-1820, https://doi.org/10.1007/s10994-021-06048-w.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.