The current exponential increase of spatiotemporally explicit data streams from satellite-
based Earth observation missions offers promising opportunities for global vegetation …

Training a supervised neural network classifier typically requires many annotated training
samples. Collecting and annotating a large number of data points are costly and sometimes …

Recently, there has been an increased interest in using artificial neural networks in the
severely resource-constrained devices found in Internet-of-Things networks, in order to …

Learning of classification models in practice often relies on a nontrivial amount of human
annotation effort. The most widely adopted human labeling process assigns class labels to …