environmental-monitoring

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.

Built a platform for integrating and analyzing physical-chemical and biological data on the marine environment captured by MarinEye, a Prototype for a Multitrophic Ocean Monitoring.

Increasing our understanding of the complex exchange among processes throughout ocean basins is severely limited by the paucity of …

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

We apply relational and propositional approaches to the problems of understanding and predicting wildfires in mainland Portugal.