2026 | Sammelwerksbeitrag | E-Veröff. vor dem Druck | PUB-ID: 3020280
Kochs, T., Castellani, A., and Hammer, B. (2026). “Theoretical Framework for Distance Metrics in k-Nearest Neighbor Imputation” in Artificial Neural Networks and Machine Learning – ICANN 2026. 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part I, Pasa, L., Lintas, A., Tetko, I. V., Micheli, A., Navarin, N., Villa, A. E. P., Tortorella, D., and Polato, M. eds. Lecture Notes in Computer Science (Cham: Springer Nature Switzerland), 458-470.
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