46 citations · 55 across the 4 of their papers we have counts for
4 papers
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…
From human experts to machines: An LLM supported approach to ontology and knowledge graph construction
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
The conventional process of building Ontologies and Knowledge Graphs (KGs) heavily relies on human domain experts to define entities and relationship types, establish hierarchies,…
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.…
Concept explainability for plant diseases classification
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
Plant diseases remain a considerable threat to food security and agricultural sustainability. Rapid and early identification of these diseases has become a significant concern moti…