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Found 5 papers, 2 papers with code
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
In the face of significant biodiversity decline, species distribution models (SDMs) are essential for understanding the impact of climate change on species habitats by connecting environmental conditions to species occurrences.
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
Notably, the significant class imbalance between species presences and pseudo-absences is often left unaddressed.
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
At the same time, little attention has been paid to the exact design of the neural network architectures with which these functional embeddings are combined.
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation
In this thesis, we aim to contribute by firstly reviewing the different approaches and techniques used by these models, and then by proposing our own implementation of a text-to-image model.
A User Study of Perceived Carbon Footprint
We propose a statistical model to understand people's perception of their carbon footprint.
