Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species
Published in: | Ecological Informatics |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Elsevier BV
2015
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Online Access: | http://dx.doi.org/10.1016/j.ecoinf.2014.11.004 https://api.elsevier.com/content/article/PII:S1574954114001563?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1574954114001563?httpAccept=text/plain |
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crelsevierbv:10.1016/j.ecoinf.2014.11.004 2023-09-05T13:21:47+02:00 Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species Fernandes, Jose A. Irigoien, Xabier Lozano, Jose A. Inza, Iñaki Goikoetxea, Nerea Pérez, Aritz Fundación Centros Tecnológicos Iñaki Goenaga Department of Agriculture Fisheries and Food of the Basque Country Government Saiotek and Research Groups 2007–2012 Basque Government Spanish Ministry of Education and Science COMBIOMED network in computational biomedicine (Carlos III Health Institute) EU project UNCOVER EU FACT EU VII Framework project MEECE 2015 http://dx.doi.org/10.1016/j.ecoinf.2014.11.004 https://api.elsevier.com/content/article/PII:S1574954114001563?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1574954114001563?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Ecological Informatics volume 25, page 35-42 ISSN 1574-9541 Applied Mathematics Computational Theory and Mathematics Computer Science Applications Ecological Modeling Modeling and Simulation Ecology Ecology, Evolution, Behavior and Systematics journal-article 2015 crelsevierbv https://doi.org/10.1016/j.ecoinf.2014.11.004 2023-08-23T16:47:57Z Article in Journal/Newspaper North East Atlantic ScienceDirect (Elsevier - via Crossref) Ecological Informatics 25 35 42 |
institution |
Open Polar |
collection |
ScienceDirect (Elsevier - via Crossref) |
op_collection_id |
crelsevierbv |
language |
English |
topic |
Applied Mathematics Computational Theory and Mathematics Computer Science Applications Ecological Modeling Modeling and Simulation Ecology Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Applied Mathematics Computational Theory and Mathematics Computer Science Applications Ecological Modeling Modeling and Simulation Ecology Ecology, Evolution, Behavior and Systematics Fernandes, Jose A. Irigoien, Xabier Lozano, Jose A. Inza, Iñaki Goikoetxea, Nerea Pérez, Aritz Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species |
topic_facet |
Applied Mathematics Computational Theory and Mathematics Computer Science Applications Ecological Modeling Modeling and Simulation Ecology Ecology, Evolution, Behavior and Systematics |
author2 |
Fundación Centros Tecnológicos Iñaki Goenaga Department of Agriculture Fisheries and Food of the Basque Country Government Saiotek and Research Groups 2007–2012 Basque Government Spanish Ministry of Education and Science COMBIOMED network in computational biomedicine (Carlos III Health Institute) EU project UNCOVER EU FACT EU VII Framework project MEECE |
format |
Article in Journal/Newspaper |
author |
Fernandes, Jose A. Irigoien, Xabier Lozano, Jose A. Inza, Iñaki Goikoetxea, Nerea Pérez, Aritz |
author_facet |
Fernandes, Jose A. Irigoien, Xabier Lozano, Jose A. Inza, Iñaki Goikoetxea, Nerea Pérez, Aritz |
author_sort |
Fernandes, Jose A. |
title |
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species |
title_short |
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species |
title_full |
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species |
title_fullStr |
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species |
title_full_unstemmed |
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species |
title_sort |
evaluating machine-learning techniques for recruitment forecasting of seven north east atlantic fish species |
publisher |
Elsevier BV |
publishDate |
2015 |
url |
http://dx.doi.org/10.1016/j.ecoinf.2014.11.004 https://api.elsevier.com/content/article/PII:S1574954114001563?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1574954114001563?httpAccept=text/plain |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
Ecological Informatics volume 25, page 35-42 ISSN 1574-9541 |
op_rights |
https://www.elsevier.com/tdm/userlicense/1.0/ |
op_doi |
https://doi.org/10.1016/j.ecoinf.2014.11.004 |
container_title |
Ecological Informatics |
container_volume |
25 |
container_start_page |
35 |
op_container_end_page |
42 |
_version_ |
1776202363114094592 |