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03/14/2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
We consider a sequence of related multivariate time series learning task...
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02/11/2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs
In electricity markets, retailers or brokers want to maximize profits by...
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07/01/2020
Handling Variable-Dimensional Time Series with Graph Neural Networks
Several applications of Internet of Things(IoT) technology involve captu...
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06/30/2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation
Automated equipment health monitoring from streaming multisensor time-se...
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09/13/2019
Meta-Learning for Few-Shot Time Series Classification
Deep neural networks (DNNs) have achieved state-of-the-art results on ti...
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07/16/2019
Meta-Learning for Black-box Optimization
Recently, neural networks trained as optimizers under the "learning to l...
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04/29/2019
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
Training deep neural networks often requires careful hyper-parameter tun...
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04/01/2019
