An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data - researchr publication authors

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Ezgi Can Ozan, Ekaterina Riabchenko, Serkan Kiranyaz, Moncef Gabbouj. An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data. In Henrik Boström, Arno J. Knobbe, Carlos Soares, Panagiotis Papapetrou, editors, Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. Volume 9897 of Lecture Notes in Computer Science, pages 387-392, 2016. [doi]

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