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

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

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1 paper

cs.LG2020★ 2 cited

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

Shufeng Kong, Junwen Bai, Jae Hee Lee +6

A key problem in computational sustainability is to understand the distribution of species across landscapes over time. This question gives rise to challenging large-scale predicti…