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Benjamin Akera

2 accepted papers

2026

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models

AAAI 2026technical

Species distribution models (SDMs), which aim to predict species occurrence based on environmental variables, are widely used to monitor and respond to biodiversity change. Recent deep learning advances for SDMs have been shown to perform well on complex and heterogeneous datasets, but their effecti

Cited by 0SourcePDFScholar
2023

SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data

NeurIPS 2023poster

Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary to ensure food, water, and human health and well-being. Understanding the distribution of species and their habitats is crucial for conservation policy planning. However, traditional methods in ecology for sp…