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

Universiteit Twente

Zilverling (gebouwnr. 11)
Hallenweg 19
7522 NH Enschede

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Organisaties

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