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Explainable Risk Prediction on Streaming Data: a LSTMs appl..:
, In:
2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)
,
Garcia-Cuesta, Esteban
;
Huertas-Tato, Javier
;
Cardinal-Fernandez, Pablo
. - p. 1-9 , 2024
Link:
https://doi.org/10.1109/EAIS58494.2024.10570018
RT T1
2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)
: T1
Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients
UL https://suche.suub.uni-bremen.de/peid=ieee-10570018&Exemplar=1&LAN=DE A1 Garcia-Cuesta, Esteban A1 Huertas-Tato, Javier A1 Cardinal-Fernandez, Pablo A1 Barberan, Jose YR 2024 SN 2473-4691 K1 Measurement K1 Perturbation methods K1 Medical services K1 Robustness K1 Coronaviruses K1 Resource management K1 History K1 temporal series K1 model explainability K1 risk prediction K1 rapid crisis response K1 COVID-19 SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/EAIS58494.2024.10570018 DO https://doi.org/10.1109/EAIS58494.2024.10570018 SF ELIB - SuUB Bremen
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