Expertises
Mathematics
- Missing Value
- Imputation Method
- Handling Missing Data
- Regression Model
- Regressors
- Data Imputation
- Missing Data Analysis
Immunology and Microbiology
- Classification
Organisaties
Publicaties
2024
The interaction between imputation and regression models (2024)[Contribution to conference › Poster] 22nd International Conference of AI in Medicine, AIME 2024. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.
2023
Investigating Imputation Methods for Handling Missing Data (2023)[Contribution to conference › Poster] Joint International Scientific Conferences on AI and Machine Learning, BNAIC/BeNeLearn 2023. Maas, J., Römer, J. G. W. T., Baysal Erez, I. & van Keulen, M.Investigating Imputation Methods for Handling Missing Data (2023)[Contribution to conference › Paper] Joint International Scientific Conferences on AI and Machine Learning, BNAIC/BeNeLearn 2023. Maas, J., Römer, J. G. W. T., Baysal Erez, I. & van Keulen, M.
2022
Understanding dynamic sparse training capabilities in accommodating sparse data (2022)[Contribution to conference › Paper] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2022. Baysal Erez, I. & van Keulen, M.The mutually reinforcing of sparse data and sparse training models (2022)[Contribution to conference › Poster] SIAM International Conference on Data Mining, SDM 2022. Baysal Erez, I.
Onderzoeksprofielen
Adres
Universiteit Twente
Zilverling
Postbus 217
7500 AE Enschede
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