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04/27/2022
Open challenges for Machine Learning based Early Decision-Making research
More and more applications require early decisions, i.e. taken as soon a...
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02/10/2020
Autoencoder-based time series clustering with energy applications
Time series clustering is a challenging task due to the specific nature ...
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07/02/2019
Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms
Recent literature has shown several benefits of hyperbolic embedding of ...
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09/19/2017
Nonnegative matrix factorization with side information for time series recovery and prediction
Motivated by the reconstruction and the prediction of electricity consum...
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10/05/2016