Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?

Cite

Text

Zhou et al. "Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70381-2_7

Markdown

[Zhou et al. "Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/zhou2024ecmlpkdd-missing/) doi:10.1007/978-3-031-70381-2_7

BibTeX

@inproceedings{zhou2024ecmlpkdd-missing,
  title     = {{Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?}},
  author    = {Zhou, Youran and Bouadjenek, Mohamed Reda and Aryal, Sunil},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {100-115},
  doi       = {10.1007/978-3-031-70381-2_7},
  url       = {https://mlanthology.org/ecmlpkdd/2024/zhou2024ecmlpkdd-missing/}
}