Retraction: time series decomposition using automatic learning techniques for predictive models

This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated and published without permission or acknowledgement to the original authors. I...

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Autores:
Silva, Jesús
Hernández Palma, Hugo
Niebles Núñez, William
Ovallos-Gazabon, David
Varela, Noel
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7617
Acceso en línea:
https://hdl.handle.net/11323/7617
https://repositorio.cuc.edu.co/
Palabra clave:
Machine learning
Predictive models
Time series
Rights
openAccess
License
CC0 1.0 Universal
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dc.title.spa.fl_str_mv Retraction: time series decomposition using automatic learning techniques for predictive models
title Retraction: time series decomposition using automatic learning techniques for predictive models
spellingShingle Retraction: time series decomposition using automatic learning techniques for predictive models
Machine learning
Predictive models
Time series
title_short Retraction: time series decomposition using automatic learning techniques for predictive models
title_full Retraction: time series decomposition using automatic learning techniques for predictive models
title_fullStr Retraction: time series decomposition using automatic learning techniques for predictive models
title_full_unstemmed Retraction: time series decomposition using automatic learning techniques for predictive models
title_sort Retraction: time series decomposition using automatic learning techniques for predictive models
dc.creator.fl_str_mv Silva, Jesús
Hernández Palma, Hugo
Niebles Núñez, William
Ovallos-Gazabon, David
Varela, Noel
dc.contributor.author.spa.fl_str_mv Silva, Jesús
Hernández Palma, Hugo
Niebles Núñez, William
Ovallos-Gazabon, David
Varela, Noel
dc.subject.spa.fl_str_mv Machine learning
Predictive models
Time series
topic Machine learning
Predictive models
Time series
description This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated and published without permission or acknowledgement to the original authors. IOP Publishing Limited has discovered other papers within this volume that have been subjected to the same treatment. This is scientific misconduct. Misconduct investigations are ongoing at the author's institutions. IOP Publishing Limited will update this notice if required once those investigations have concluded. To date, there is no evidence to suggest anyone other than Amelec Viloria / Jesus Silva was directly culpable for the actions that led to retraction.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-12-19T23:13:20Z
dc.date.available.none.fl_str_mv 2020-12-19T23:13:20Z
dc.date.issued.none.fl_str_mv 2020
dc.type.spa.fl_str_mv Artículo de revista
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1742-6596
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dc.identifier.doi.spa.fl_str_mv doi:10.1088/1742-6596/1432/1/012111
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
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1742-6596
doi:10.1088/1742-6596/1432/1/012111
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
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https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv (1) Arag´on, Francisco, Baldan, Francisco Javier, Parra, Manuel, Benıtez, Jose M., (2018), Un procedimiento efectivo para descomponer y modelar series temporales en agricultura, XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España / Francisco Herrera (aut.), 2018, ISBN 978-84-09-05643-9, págs. 784-789 (https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_143.pdf)
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dc.publisher.spa.fl_str_mv Corporación Universidad de la Costa
dc.source.spa.fl_str_mv Journal of Physics: Conference Series
institution Corporación Universidad de la Costa
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spelling Silva, JesúsHernández Palma, HugoNiebles Núñez, WilliamOvallos-Gazabon, DavidVarela, Noel2020-12-19T23:13:20Z2020-12-19T23:13:20Z20201742-65881742-6596https://hdl.handle.net/11323/7617doi:10.1088/1742-6596/1432/1/012111Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated and published without permission or acknowledgement to the original authors. IOP Publishing Limited has discovered other papers within this volume that have been subjected to the same treatment. This is scientific misconduct. Misconduct investigations are ongoing at the author's institutions. IOP Publishing Limited will update this notice if required once those investigations have concluded. To date, there is no evidence to suggest anyone other than Amelec Viloria / Jesus Silva was directly culpable for the actions that led to retraction.Silva, JesúsHernández Palma, HugoNiebles Núñez, WilliamOvallos-Gazabon, DavidVarela, Noelapplication/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Journal of Physics: Conference Serieshttps://iopscience.iop.org/article/10.1088/1742-6596/1432/1/012111/metaMachine learningPredictive modelsTime seriesRetraction: time series decomposition using automatic learning techniques for predictive modelsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion(1) Arag´on, Francisco, Baldan, Francisco Javier, Parra, Manuel, Benıtez, Jose M., (2018), Un procedimiento efectivo para descomponer y modelar series temporales en agricultura, XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España / Francisco Herrera (aut.), 2018, ISBN 978-84-09-05643-9, págs. 784-789 (https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_143.pdf)PublicationORIGINALRetraction. 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