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

Zhou, Y; Bouadjenek, Mohamed Reda; Aryal, Sunil

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

conference contribution

posted on 2024-10-04, 05:32 authored by Y Zhou, Mohamed Reda BouadjenekMohamed Reda Bouadjenek, Sunil AryalSunil Aryal

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

History

Volume

14950

Pagination

100-115

Location

Vilnius, Lithuania

Publisher DOI

https://doi.org/10.1007/978-3-031-70381-2_7

Open access

No

Start date

2024-09-09

End date

2024-09-13

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783031703805

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event

Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2024 : Vilnius, Lithuania)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Computer Science

Publication URL

http://dx.doi.org/10.1007/978-3-031-70381-2_7

Usage metrics

Keywords

Bioengineering Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)Generic health relevance

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

History

Volume

Pagination

Location

Publisher DOI

Open access

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Series

Publication URL

Usage metrics

Categories

Keywords

Licence

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