Andrés Herrera-Poyatos

most citedDeep Learning methodology for the identification of wood species using high-resolution macroscopic images

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 1 cited

Deep Learning methodology for the identification of wood species using high-resolution macroscopic images

David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes +5

Significant advancements in the field of wood species identification are needed worldwide to support sustainable timber trade. In this work we contribute to automate the identifica…

cs.DS2022

Fast sampling of satisfying assignments from random $k$ -SAT with applications to connectivity

Zongchen Chen, Andreas Galanis, Leslie Ann Goldberg +4

We give a nearly linear-time algorithm to approximately sample satisfying assignments in the random $k$ -SAT model when the density of the formula scales exponentially with $k$ . The…

Deep Learning methodology for the identification of wood species using high-resolution macroscopic images

Fast sampling of satisfying assignments from random k-SAT with applications to connectivity

Fast sampling of satisfying assignments from random $k$ -SAT with applications to connectivity