Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
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%0 Journal Article
%1 journals/corr/abs-2403-14829
%A Castro-Macías, Francisco M.
%A Morales-Álvarez, Pablo
%A Wu, Yunan
%A Molina, Rafael
%A Katsaggelos, Aggelos K.
%D 2024
%J CoRR
%K dblp
%T Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
%U http://dblp.uni-trier.de/db/journals/corr/corr2403.html#abs-2403-14829
%V abs/2403.14829
@article{journals/corr/abs-2403-14829,
added-at = {2024-04-12T00:00:00.000+0200},
author = {Castro-Macías, Francisco M. and Morales-Álvarez, Pablo and Wu, Yunan and Molina, Rafael and Katsaggelos, Aggelos K.},
biburl = {https://www.bibsonomy.org/bibtex/2cd2ffa1ac06130860a75bb87f02048eb/dblp},
ee = {https://doi.org/10.48550/arXiv.2403.14829},
interhash = {430b6bf9c3772d1f8715bbe91733dc1d},
intrahash = {cd2ffa1ac06130860a75bb87f02048eb},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-15T07:02:38.000+0200},
title = {Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2403.html#abs-2403-14829},
volume = {abs/2403.14829},
year = 2024
}
