16 citations · 25 across the 4 of their papers we have counts for
3 papers · 1 filter
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
Francisco Mena, Diego Arenas, Marcela Charfuelan +2
Earth observation (EO) applications involving complex and heterogeneous data sources are commonly approached with machine learning models. However, there is a common assumption tha…
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
Ricardo Ñanculef, Francisco Mena, Antonio Macaluso +2
Semantic hashing is an emerging technique for large-scale similarity search based on representing high-dimensional data using similarity-preserving binary codes used for efficient…
Evaluating Bregman Divergences for Probability Learning from Crowd
F. A. Mena, R. Ñanculef
The crowdsourcing scenarios are a good example of having a probability distribution over some categories showing what the people in a global perspective thinks. Learn a predictive…