Research output per year
Research output per year
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Dive into the research topics where Işıl Baysal Erez is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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The interaction between imputation and regression models
Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M., 10 Jul 2024, p. 1. 1 p.Research output: Contribution to conference › Poster › Academic
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Investigating Imputation Methods for Handling Missing Data
Maas, J., Römer, J. G. W. T., Baysal Erez, I. & van Keulen, M., 9 Nov 2023.Research output: Contribution to conference › Poster › Academic
Open AccessFile34 Downloads (Pure) -
Investigating Imputation Methods for Handling Missing Data
Maas, J., Römer, J. G. W. T., Baysal Erez, I. & van Keulen, M., 9 Nov 2023. 22 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile76 Downloads (Pure) -
The mutually reinforcing of sparse data and sparse training models
Baysal Erez, I., 28 Apr 2022. 1 p.Research output: Contribution to conference › Poster › Academic
Open AccessFile105 Downloads (Pure) -
Understanding dynamic sparse training capabilities in accommodating sparse data
Baysal Erez, I. & van Keulen, M., 19 Sept 2022, p. 1-6. 6 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile54 Downloads (Pure)