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Maksym Balatsko

1 paper hereh-index 114 citations1 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedMissing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 10 cited

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network

Magda Friedjungová, Daniel Vašata, Maksym Balatsko +1

Missing data is one of the most common preprocessing problems. In this paper, we experimentally research the use of generative and non-generative models for feature reconstruction.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.