1. Crabbé, J., van der Schaar, M.: Label-free explainability for unsupervised models. arXiv preprint arXiv:2203.01928 (2022)
2. Främling, K.: Modélisation et apprentissage des préférences par réseaux de neurones pour l’aide à la décision multicritère. Ph.D. thesis, INSA de Lyon (1996)
3. Främling, K.: Contextual importance and utility in R: the ‘CIU’ package. In: Proceedings of 1st Workshop on Explainable Agency in Artificial Intelligence, at 35h AAAI Conference on Artificial Intelligence, 2–9 February 2021, pp. 110–114 (2021)
4. Främling, K., Graillot, D.: Extracting explanations from neural networks. In: Proceedings of the ICANN, vol. 95, pp. 163–168. Citeseer (1995)
5. Främling, K.: Contextual importance and utility in R: the ‘CIU’ package (2021)