Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/nca/ReiterJFFBM21
%A Reiter, Maya A.
%A Jahedi, Afrooz
%A Fredo, Agastinose Ronickom Jac
%A Fishman, Inna
%A Bailey, Barbara A.
%A Müller, Ralph-Axel
%D 2021
%J Neural Comput. Appl.
%K dblp
%N 8
%P 3299-3310
%T Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity.
%U http://dblp.uni-trier.de/db/journals/nca/nca33.html#ReiterJFFBM21
%V 33
@article{journals/nca/ReiterJFFBM21,
added-at = {2022-01-03T00:00:00.000+0100},
author = {Reiter, Maya A. and Jahedi, Afrooz and Fredo, Agastinose Ronickom Jac and Fishman, Inna and Bailey, Barbara A. and Müller, Ralph-Axel},
biburl = {https://www.bibsonomy.org/bibtex/212d7ef4a7b42337ffe9e37afd5406ab0/dblp},
ee = {https://doi.org/10.1007/s00521-020-05193-y},
interhash = {a8e8003909d3edc994128613e78f3c11},
intrahash = {12d7ef4a7b42337ffe9e37afd5406ab0},
journal = {Neural Comput. Appl.},
keywords = {dblp},
number = 8,
pages = {3299-3310},
timestamp = {2024-04-08T10:00:58.000+0200},
title = {Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity.},
url = {http://dblp.uni-trier.de/db/journals/nca/nca33.html#ReiterJFFBM21},
volume = 33,
year = 2021
}