Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia.
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%0 Journal Article
%1 journals/inffus/BahadorJMK21
%A Bahador, Nooshin
%A Jokelainen, Jarno
%A Mustola, Seppo
%A Kortelainen, Jukka
%D 2021
%J Inf. Fusion
%K dblp
%P 125-143
%T Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia.
%U http://dblp.uni-trier.de/db/journals/inffus/inffus73.html#BahadorJMK21
%V 73
@article{journals/inffus/BahadorJMK21,
added-at = {2021-06-09T00:00:00.000+0200},
author = {Bahador, Nooshin and Jokelainen, Jarno and Mustola, Seppo and Kortelainen, Jukka},
biburl = {https://www.bibsonomy.org/bibtex/2026ac8cc5081156e7d3a6e6d0cf25075/dblp},
ee = {https://doi.org/10.1016/j.inffus.2021.03.001},
interhash = {3d70be6403f8a09c304b9985079b90e2},
intrahash = {026ac8cc5081156e7d3a6e6d0cf25075},
journal = {Inf. Fusion},
keywords = {dblp},
pages = {125-143},
timestamp = {2024-04-09T05:59:50.000+0200},
title = {Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia.},
url = {http://dblp.uni-trier.de/db/journals/inffus/inffus73.html#BahadorJMK21},
volume = 73,
year = 2021
}
