Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study.
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%0 Conference Paper
%1 conf/embc/PezoulasETF21
%A Pezoulas, Vasileios C.
%A Exarchos, Themis P.
%A Tzioufas, Athanasios G.
%A Fotiadis, Dimitrios I.
%B EMBC
%D 2021
%I IEEE
%K dblp
%P 1670-1673
%T Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study.
%U http://dblp.uni-trier.de/db/conf/embc/embc2021.html#PezoulasETF21
%@ 978-1-7281-1179-7
@inproceedings{conf/embc/PezoulasETF21,
added-at = {2022-10-02T00:00:00.000+0200},
author = {Pezoulas, Vasileios C. and Exarchos, Themis P. and Tzioufas, Athanasios G. and Fotiadis, Dimitrios I.},
biburl = {https://www.bibsonomy.org/bibtex/2f2bac6b85505d798a17201dc202badcd/dblp},
booktitle = {EMBC},
crossref = {conf/embc/2021},
ee = {https://doi.org/10.1109/EMBC46164.2021.9629912},
interhash = {7be2ed38fe8abe771e5f35187a604c61},
intrahash = {f2bac6b85505d798a17201dc202badcd},
isbn = {978-1-7281-1179-7},
keywords = {dblp},
pages = {1670-1673},
publisher = {IEEE},
timestamp = {2024-04-09T14:37:32.000+0200},
title = {Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study.},
url = {http://dblp.uni-trier.de/db/conf/embc/embc2021.html#PezoulasETF21},
year = 2021
}
