2026 | Sammelwerksbeitrag | E-Veröff. vor dem Druck | PUB-ID: 3020280
Kochs, T., Castellani, A., & Hammer, B., 2026. Theoretical Framework for Distance Metrics in k-Nearest Neighbor Imputation. In L. Pasa, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2026. 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 458-470.
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