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Found 3 papers, 3 papers with code
An adaptive standardisation methodology for Day-Ahead electricity price forecasting
The study of Day-Ahead prices in the electricity market is one of the most popular problems in time series forecasting.
A feature selection method based on Shapley values robust to concept shift in regression
Feature selection is one of the most relevant processes in any methodology for creating a statistical learning model.
Privacy-preserving machine learning with tensor networks
Tensor networks, widely used for providing efficient representations of low-energy states of local quantum many-body systems, have been recently proposed as machine learning architectures which could present advantages with respect to traditional ones.
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