24 citations · 77 across the 14 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
Axel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian +2
Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function when provided with large data sets of examples. However, in regression tasks, the straight…
cs.CV2018
Uncertainty Gated Network for Land Cover Segmentation
Guillem Pascual, Santi Seguí, Jordi Vitrià
The production of thematic maps depicting land cover is one of the most common applications of remote sensing. To this end, several semantic segmentation approaches, based on deep…