90 citations · 273 across the 18 of their papers we have counts for
3 papers · 1 filter
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
Jonathan Serrano-Pérez, Raquel Díaz Hernández, L. Enrique Sucar
This work is focused on the morphological classification of galaxies following the Hubble sequence in which the different classes are arranged in a hierarchy. The proposed method,…
Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information
Jonathan Serrano-Pérez, L. Enrique Sucar
Scarcity of labeled data is a common problem in supervised classification, since hand-labeling can be time consuming, expensive or hard to label; on the other hand, large amounts o…
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems. Learning with little supervision ca…