research
∙
08/16/2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
This work summarizes two strategies for completing time-series (TS) task...
share
research
∙
05/20/2023
EE-TTS: Emphatic Expressive TTS with Linguistic Information
While Current TTS systems perform well in synthesizing high-quality spee...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
12/05/2020
A Review of Designs and Applications of Echo State Networks
Recurrent Neural Networks (RNNs) have demonstrated their outstanding abi...
research
∙
10/23/2020
