BIBLIOS

  Ciências References Management System

Visitor Mode (Login)
Need help?


Back

Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Applying Limnological Feature-Based Machine Learning Techniques to Chemical State Classification in Marine Transitional Systems

Participants in the publication
Ronnie Concepcion (Author)
Elmer Dadios (Author)
Argel Bandala (Author)
Isabel Caçador (Author)
Dep. Biologia Vegetal
MARE
Vanessa F. Fonseca (Author)
Dep. Biologia Animal
MARE
Bernardo Duarte (Author)
Dep. Biologia Vegetal
MARE

Date of Publication
2021-07-09

Where published
Frontiers in Marine Science

Publication Identifiers
ISSN - 2296-7745

Publisher
Frontiers Media SA

Volume
8

Document Identifiers
DOI - https://doi.org/10.3389/fmars.2021.658434
URL - http://dx.doi.org/10.3389/fmars.2021.658434

Rankings
SCOPUS Q1 (2017) - 1.225 - Aquatic Science


Export

APA
Ronnie Concepcion, Elmer Dadios, Argel Bandala, Isabel Caçador, Vanessa F. Fonseca, Bernardo Duarte, (2021). Applying Limnological Feature-Based Machine Learning Techniques to Chemical State Classification in Marine Transitional Systems. Frontiers in Marine Science, 8, ISSN 2296-7745. eISSN . http://dx.doi.org/10.3389/fmars.2021.658434

IEEE
Ronnie Concepcion, Elmer Dadios, Argel Bandala, Isabel Caçador, Vanessa F. Fonseca, Bernardo Duarte, "Applying Limnological Feature-Based Machine Learning Techniques to Chemical State Classification in Marine Transitional Systems" in Frontiers in Marine Science, vol. 8, 2021. 10.3389/fmars.2021.658434

BIBTEX
@article{52061, author = {Ronnie Concepcion and Elmer Dadios and Argel Bandala and Isabel Caçador and Vanessa F. Fonseca and Bernardo Duarte}, title = {Applying Limnological Feature-Based Machine Learning Techniques to Chemical State Classification in Marine Transitional Systems}, journal = {Frontiers in Marine Science}, year = 2021, volume = 8 }