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10/06/2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks
Continuous diagnosis and prognosis are essential for intensive care pati...
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08/14/2022
Confidence-Guided Learning Process for Continuous Classification of Time Series
In the real world, the class of a time series is usually labeled at the ...
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08/31/2021
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization
Since data is presented long-tailed in reality, it is challenging for Fe...
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05/02/2021
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
Prediction based on Irregularly Sampled Time Series (ISTS) is of wide co...
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12/05/2020
A Review of Designs and Applications of Echo State Networks
Recurrent Neural Networks (RNNs) have demonstrated their outstanding abi...
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10/23/2020