Aims Classification of vegetation is an essential tool to describe, understand, predict and
manage biodiversity. Given the multiplicity of approaches to classify vegetation, it is important to …

Motivation Assessing biodiversity status and trends in plant communities is critical for
understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation …

We explore the zero-shot setting for day-night domain adaptation. The traditional domain
adaptation setting is to train on one domain and adapt to the target domain by exploiting …

Questions Which environmental and management factors are the most important determinants
of arable weed species composition in intensively farmed areas across an area of 93 000 …

European semi-dry grasslands are among the most species-rich vegetation types in the northern
hemisphere and form an important part of the habitat mosaics in the forest-steppe zone. …

A central issue of community ecology is finding rules that explain the composition and
abundance of coexisting species. Nowadays two main processes, environmental filtering and …

Cluster analysis plays vital role in pattern recognition in several fields of science. Silhouette
width is a widely used index for assessing the fit of individual objects in the classification, as …

Aim: Phytosociological databases often contain unbalanced samples of real vegetation,
which should be carefully resampled before any analyses. We propose a new resampling …

The existing plant trait databases’ applicability is limited for studies dealing with the flora
and vegetation of the eastern and central part of Europe and for large-scale comparisons …

In this paper we show how Group Equivariant Convolutional Neural Networks use
subsampling to learn to break equivariance to their symmetries. We focus on the 2D roto-translation …