Expertises
Immunology and Microbiology
- Classification
- Experiment
- Perceptron
- Strength
Mathematics
- Handling Missing Data
- Imputation Method
- Missing Value
- Data Imputation
Organisaties
Publicaties
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
![](/.uc/iff4689c40103f3eb1100f2c8f403e85637f06a7b284b0801e3bc0268018041/zilverling.jpg)
Universiteit Twente
Zilverling
Postbus 217
7500 AE Enschede