Species distribution modeling for machine learning practitioners: A review
Conservation science depends on an accurate understanding of what's happening in a
given ecosystem. How many species live there? What is the makeup of the population? How …
given ecosystem. How many species live there? What is the makeup of the population? How …
[HTML][HTML] " Flora of Russia" on iNaturalist: a dataset
AP Seregin, DA Bochkov, JV Shner… - Biodiversity Data …, 2020 - ncbi.nlm.nih.gov
"Flora of Russia" on iNaturalist: a dataset - PMC Back to Top Skip to main content NIH NLM
Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …
Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …
Three questions: How can taxonomists survive and thrive worldwide?
The science of taxonomy faces many challenges at present. Many questions remain as to
how we can best continue the vital practice of describing and understanding biodiversity …
how we can best continue the vital practice of describing and understanding biodiversity …
Automatic fungi recognition: deep learning meets mycology
The article presents an AI-based fungi species recognition system for a citizen-science
community. The system's real-time identification too—FungiVision—with a mobile …
community. The system's real-time identification too—FungiVision—with a mobile …
Fungi recognition: A practical use case
The paper presents a system for visual recognition of 1394 fungi species based on deep
convolutional neural networks and its deployment in a citizen-science project. The system …
convolutional neural networks and its deployment in a citizen-science project. The system …
A two-head loss function for deep Average-K classification
Average-K classification is an alternative to top-K classification in which the number of labels
returned varies with the ambiguity of the input image but must average to K over all the …
returned varies with the ambiguity of the input image but must average to K over all the …