Expertise

  • Mathematics

    • Missing Value
    • Imputation Method
    • Handling Missing Data
    • Regression Model
    • Regressors
    • Data Imputation
    • Missing Data Analysis
  • Immunology and Microbiology

    • Classification

Organisations

Publications

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.

Research profiles

Address

University of Twente

Zilverling (building no. 11)
Hallenweg 19
7522 NH Enschede
Netherlands

Navigate to location

Organisations

Scan the QR code or
Download vCard