47 citations · 113 across the 15 of their papers we have counts for
4 papers · 1 filter
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
Deep Learning (DL) techniques are increasingly applied in scientific studies across various domains to address complex research questions. However, the methodological details of th…
Evaluating the method reproducibility of deep learning models in the biodiversity domain
Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries +3
Artificial Intelligence (AI) is revolutionizing biodiversity research by enabling advanced data analysis, species identification, and habitats monitoring, thereby enhancing conserv…
Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review
Samira Babalou, Sheeba Samuel, Birgitta König-Ries
Knowledge graphs (KGs) are widely used for representing and organizing structured knowledge in diverse domains. However, the creation and upkeep of KGs pose substantial challenges.…
Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs?
Felicitas Löffler, Valentin Wesp, Birgitta König-Ries +1
The increasing amount of research data provides the opportunity to link and integrate data to create novel hypotheses, to repeat experiments or to compare recent data to data colle…