Towards explainable AI : interpreting soil organic carbon prediction models using a learning-based explanation method

dc.contributor.author	Kakhani, Nafiseh	de_DE
dc.contributor.author	Taghizadeh-Mehrjardi, Ruhollah	de_DE
dc.contributor.author	Scholten, Thomas	de_DE
dc.date.accessioned	2025-05-09T04:37:21Z
dc.date.available	2025-05-09T04:37:21Z
dc.date.issued	2025	de_DE
dc.identifier.uri	http://hdl.handle.net/10900/165259
dc.language.iso	en
dc.relation.uri	https://doi.org/10.1111/ejss.70071	de_DE
dc.title	Towards explainable AI : interpreting soil organic carbon prediction models using a learning-based explanation method	de_DE
dc.type	Article	de_DE
utue.personen.pnd	Heiden, Uta/297322079	de_DE
utue.personen.pnd	Scholten, Thomas/187344825	de_DE
utue.publikation.seiten	1-18	de_DE
utue.personen.roh	Kakhani, Nafiseh	de_DE
utue.personen.roh	Taghizadeh-Mehrjardi, Ruhollah	de_DE
utue.personen.roh	Omarzadeh, Davoud	de_DE
utue.personen.roh	Ryo, Masahiro	de_DE
utue.personen.roh	Heiden, Uta	de_DE
utue.personen.roh	Scholten, Thomas	de_DE
dcterms.isPartOf.ZSTitelID	European journal of soil science - Oxford [u.a.] : Wiley-Blackwell,	de_DE
dcterms.isPartOf.ZS-Issue	2	de_DE
dcterms.isPartOf.ZS-Volume	76	de_DE
utue.publikation.seitengesamt	1 Online-Ressource	de_DE
utue.titel.verfasserangabe	Nafiseh Kakhani, Ruhollah Taghizadeh-Mehrjardi, Davoud Omarzadeh, Masahiro Ryo, Uta Heiden, Thomas Scholten	de_DE
utue.publikation.abrufzeichen	t017	de_DE
utue.publikation.swbdatum	2504	de_DE
utue.artikel.ppn	1924046822	de_DE