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03/24/2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Time-series data augmentation mitigates the issue of insufficient traini...
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01/01/2023
Federated Learning with Client-Exclusive Classes
Existing federated classification algorithms typically assume the local ...
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01/01/2023
Modeling Label Semantics Improves Activity Recognition
Human activity recognition (HAR) aims to classify sensory time series in...
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09/30/2022
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
Batch reinforcement learning (BRL) is an emerging research area in the R...
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01/19/2021
Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
The electric power grid is a critical societal resource connecting multi...
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01/01/2021
