Our paper was accpeted at ECML-PKDD 2024
Our paper, Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?, was accepted for oral and poster presentation at ECML-PKDD 2024 (Applied Data Science Track).
Zhou, Y., Bouadjenek, M. R., Aryal, S. (2024). Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?
In: Bifet, A., Krilavičius, T., Miliou, I., Nowaczyk, S. (eds) Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, ECML-PKDD 2024. Lecture Notes in Computer Science, vol. 14950. Springer, Cham.
Paper Developing robust methods to handle missing data in real-world applications effectively was accepter for poster presentation at ECML-PKDD 2024 (PhD Forum).