activity
20202026
most citedDeep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

q-bio.PE2025

An Ecologically-Informed Deep Learning Framework for Interpretable and Validatable Habitat Mapping

Iván Felipe Benavides-Martínez, Cristiam Victoriano Portilla-Cabrera, Katherine E. Mills +4

Benthic habitat is challenging due to the environmental complexity of the seafloor, technological limitations, and elevated operational costs, especially in under-explored regions.…