Editorial: Applications of Machine Learning to Evolutionary Ecology Data

被引：0
|
作者：
Morimoto, Juliano [1 ]
Ponchon, Aurore [1 ]
Sofronov, Georgy [2 ]
Travis, Justin [1 ]
机构：
[1] Univ Aberdeen, Sch Biol Sci, Aberdeen, Scotland
[2] Macquarie Univ, Dept Math & Stat, Sydney, NSW, Australia
来源：
FRONTIERS IN ECOLOGY AND EVOLUTION | 2021年 / 9卷
关键词：
machine learning; artificial intelligence; ecological theories; innovation; niche adaptation;
D O I：
10.3389/fevo.2021.797319
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Editorial: Machine Learning for Big Data Analysis: Applications in Plant Breeding and Genomics
    Esposito, Salvatore
    Ruggieri, Valentino
    Tripodi, Pasquale
    FRONTIERS IN GENETICS, 2022, 13
  • [2] Editorial: Machine learning applications in educational studies
    Zhai, Xiaoming
    Lu, Min
    FRONTIERS IN EDUCATION, 2023, 8
  • [3] Machine learning in marine ecology: an overview of techniques and applications
    Rubbens, Peter
    Brodie, Stephanie
    Cordier, Tristan
    Destro Barcellos, Diogo
    Devos, Paul
    Fernandes-Salvador, Jose A.
    Fincham, Jennifer, I
    Gomes, Alessandra
    Handegard, Nils Olav
    Howell, Kerry
    Jamet, Cedric
    Kartveit, Kyrre Heldal
    Moustahfid, Hassan
    Parcerisas, Clea
    Politikos, Dimitris
    Sauzede, Raphaelle
    Sokolova, Maria
    Uusitalo, Laura
    Van den Bulcke, Laure
    van Helmond, Aloysius T. M.
    Watson, Jordan T.
    Welch, Heather
    Beltran-Perez, Oscar
    Chaffron, Samuel
    Greenberg, David S.
    Kuehn, Bernhard
    Kiko, Rainer
    Lo, Madiop
    Lopes, Rubens M.
    Moeller, Klas Ove
    Michaels, William
    Pala, Ahmet
    Romagnan, Jean-Baptiste
    Schuchert, Pia
    Seydi, Vahid
    Villasante, Sebastian
    Malde, Ketil
    Irisson, Jean-Olivier
    ICES JOURNAL OF MARINE SCIENCE, 2023, 80 (07) : 1829 - 1853
  • [4] Editorial: Evolutionary computation-based machine learning and its applications for multi-robot systems
    Ma, Lianbo
    FRONTIERS IN NEUROROBOTICS, 2023, 17
  • [5] Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology
    Lurig, Moritz D.
    Donoughe, Seth
    Svensson, Erik I.
    Porto, Arthur
    Tsuboi, Masahito
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2021, 9
  • [6] Advances and applications of machine learning and deep learning in environmental ecology and health
    Cui, Shixuan
    Gao, Yuchen
    Huang, Yizhou
    Shen, Lilai
    Zhao, Qiming
    Pan, Yaru
    Zhuang, Shulin
    ENVIRONMENTAL POLLUTION, 2023, 335
  • [7] Editorial: Big data and machine learning in sociology
    Leitgoeb, Heinz
    Prandner, Dimitri
    Wolbring, Tobias
    FRONTIERS IN SOCIOLOGY, 2023, 8
  • [8] Perspectives and applications of machine learning for evolutionary developmental biology
    Feltes, Bruno Cesar
    Grisci, Bruno Iochins
    Poloni, Joice de Faria
    Dorn, Marcio
    MOLECULAR OMICS, 2018, 14 (05) : 289 - 306
  • [9] Editorial: Advances in the Evolutionary Ecology of Termites
    Arab, Alberto
    Issa, Solange
    Aguilera-Olivares, Daniel
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2021, 9
  • [10] Guest editorial: Deep learning and machine vision applications
    Kim, Sungho
    Hwang, Youngbae
    Lee, Wangheon
    1600, Institute of Control, Robotics and Systems (26):
12345