2026-08-17T01:17:41Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/788352025-12-16T20:00:53Zcom_10324_1151com_10324_931com_10324_894col_10324_1280
UVaDOC
author
Villaizán Vallelado, Mario
author
Salvatori, Matteo
author
Carro Martínez, Belén
author
Sánchez Esguevillas, Antonio Javier
2025-10-21T06:38:09Z
2025-10-21T06:38:09Z
2025
Andreu Catalá, Gonzalo Joya y Ignacio Rojas. IWANN 2025 18th International Work-Conference on Artificial Neural Networks. A Coruña: IWANN, 2025, p. 1-1.
979-13-8752213-1
https://uvadoc.uva.es/handle/10324/78835
Most Artificial Intelligence models require the information in the records to be used to be fully informed. These models require a policy for handling missing information. However, traditional policies have tried to fill in the missing information with known information. This approach is correct when the missing information is random and wrong when it is not. In this article we start with a review of the main policies employed, and analyse the consequences of elimination or imputation policies and argue that these policies are sometimes unwise.
eng
Attribution 4.0 Internacional
Tackling Missing Data Head-On: Strategies to Mitigate Survival and Confirmation Bias
info:eu-repo/semantics/conferenceObject
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IApwb3IgaW5jdW1wbGltaWVudG8gZGUgY3VhbHF1aWVyYSBkZSBsYXMgb2JsaWdhY2lvbmVzIGRlcml2YWRhcyBkZWwgQWN1ZXJkbywgcG9yIHZvbHVudGFkIGV4cHJlc2EgZGVsIEF1dG9yCkVuICBwcnVlYmEgZGUgY29uZm9ybWlkYWQsIGxhcyBwYXJ0ZXMgYWNlcHRhbiBlbCBwcmVzZW50ZSBBY3VlcmRvCgoKCgo=
URL
https://uvadoc.uva.es/bitstream/10324/78835/1/Tackling-Missing-Data-Head.pdf
File
MD5
c9c1db2c36032f529a28eb8445e55630
211084
application/pdf
Tackling-Missing-Data-Head.pdf