Processing multiple distortion models: a comparative study

dc.contributor.author	Destercke, Sebastien
dc.contributor.author	Montes Gutiérrez, Ignacio
dc.contributor.author	Miranda Menéndez, Enrique
dc.date.accessioned	2023-04-25T10:11:51Z
dc.date.available	2023-04-25T10:11:51Z
dc.date.issued	2021
dc.identifier.citation	Proceedings of Machine Learning Research, 147, p. 122-131 (2021)
dc.identifier.issn	2640-3498
dc.identifier.uri	http://proceedings.mlr.press/v147/destercke21a/destercke21a.pdf
dc.identifier.uri	http://hdl.handle.net/10651/67390
dc.description	International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2021) (12th. 2021. Granada, Spain)
dc.description.sponsorship	French Government, through the National Agency for Research [ANR-11-IDEX0004-02]; Ministry of Science, Innovation and Universities of Spain [PGC2018-098623-B-I00]
dc.format.extent	p. 122-131
dc.language.iso	eng
dc.relation.ispartof	Proceedings of the twelveth international symposium on imprecise probability: theories and applications
dc.rights	© MLR Press
dc.source	WOS:000855078800013
dc.title	Processing multiple distortion models: a comparative study
dc.type	conference output	spa
dc.relation.projectID	MCIU/PGC2018-098623-B-I00

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