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Stacked Random Forests: More accurate and better calibrated

Hänsch, Ronny (2020) Stacked Random Forests: More accurate and better calibrated. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020-09-26 - 2020-10-02, virtual. doi: 10.1109/igarss39084.2020.9324475.

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Item URL in elib:https://elib.dlr.de/139280/
Document Type:Conference or Workshop Item (Speech)
Title:Stacked Random Forests: More accurate and better calibrated
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Date:20 January 2020
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/igarss39084.2020.9324475
Status:Published
Keywords:Random Forests, Classification
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:virtual
Event Type:international Conference
Event Dates:2020-09-26 - 2020-10-02
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Aircraft SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:14 Dec 2020 09:58
Last Modified:24 Jul 2023 12:01

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