Imbalanced domain learning aims to produce accurate models in predicting instances that, though underrepresented, are of utmost importance for the domain. Research this field has been mainly focused on classification tasks. Comparatively, number studies carried out context regression tasks is negligible. One main reasons lack loss functions capable focusing minimizing errors extreme (rare) valu...