imbalanced-data

Increasingly widespread sensor networks collect sequences of numerical observations at fixed locations over time, and generate vast …

In this extension paper, we expand on our proposals for a new set of resampling strategies for imbalanced spatio-temporal numeric forecasting tasks, by introducing bias into formerly random processes.

In this paper, we propose a new set of resampling strategies for imbalanced spatio-temporal numeric forecasting tasks, by introducing bias into formerly random processes.

We present and evaluate two different methods for building spatio-temporal features: a propositional method and a method based on …