On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning

no code implementations • 3 Jan 2024 • Robin Zbinden, Nina van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia

Notably, the significant class imbalance between species presences and pseudo-absences is often left unaddressed.

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

1 code implementation • 19 Dec 2019 • Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang

This is especially true for an automated analysis of remote sensing images on a global scale, which enables us to address global challenges such as urbanization and climate change using state-of-the-art machine learning techniques.

BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction +1