(Q50641914)

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Applicability domain based on ensemble learning in classification and regression analyses.

scientific article published on 20 August 2014

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25119661

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17 March 2018

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Applicability domain based on ensemble learning in classification and regression analyses. (English)

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Kimito Funatsu

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Hiromasa Kaneko

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Hiromasa Kaneko

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publication date

20 August 2014

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Journal of Chemical Information and Modeling

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volume

54

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9

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2469-2482

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cites work

Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set

1 reference

13 June 2022

https://opencitations.net/index/coci/api/v1/citations/10.1021/CI100253R

The One-Class Classification Approach to Data Description and to Models Applicability Domain

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COCI

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https://opencitations.net/index/coci/api/v1/citations/10.1002/MINF.201000063

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8 April 2023

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DOI

10.1021/CI500364E

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Europe PubMed Central

PubMed publication ID

25119661

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17 March 2018

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http://europepmc.org/abstract/MED/25119661

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journals/jcisd/KanekoF14

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DBLP Dataset 2021-01-02

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28 January 2021

PubMed publication ID

25119661

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PubMed publication ID

25119661

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17 March 2018

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(Q50641914)

Applicability domain based on ensemble learning in classification and regression analyses.

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