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Transformational machine learning: Learning how to learn from many related scientific problems
scientific article published on 29 November 2021
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scholarly article
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13 September 2022
title
Transformational machine learning: Learning how to learn from many related scientific problems
(English)
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13 September 2022
author
Ivan Olier
series ordinal
1
object named as
Ivan Olier
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13 September 2022
Joaquin Vanschoren
series ordinal
6
object named as
Joaquin Vanschoren
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13 September 2022
Ross D. King
series ordinal
7
object named as
Ross D. King
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13 September 2022
Tirtharaj Dash
series ordinal
3
ORCID iD
0000-0001-5965-8286
object named as
Tirtharaj Dash
1 reference
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Crossref
retrieved
13 September 2022
author name string
Oghenejokpeme I. Orhobor
series ordinal
2
1 reference
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13 September 2022
Andy M. Davis
series ordinal
4
1 reference
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13 September 2022
Larisa N. Soldatova
series ordinal
5
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13 September 2022
language of work or name
English
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Crossref
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13 September 2022
publication date
29 November 2021
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13 September 2022
published in
Proceedings of the National Academy of Sciences of the United States of America
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13 September 2022
volume
118
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13 September 2022
issue
49
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13 September 2022
copyright license
Creative Commons Attribution 4.0 International
start time
29 November 2021
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April 2022 Public Data File from Crossref
copyright status
copyrighted
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cites work
The FAIR Guiding Principles for scientific data management and stewardship
1 reference
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COCI
reference URL
https://opencitations.net/index/coci/api/v1/citations/10.1038/SDATA.2016.18
retrieved
27 January 2023
Multi-task learning with a natural metric for quantitative structure activity relationship learning
1 reference
stated in
COCI
reference URL
https://opencitations.net/index/coci/api/v1/citations/10.1186/S13321-019-0392-1
retrieved
1 October 2023
Identifiers
DOI
10.1073/PNAS.2108013118
1 reference
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Crossref
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13 September 2022
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