217 citations · 358 across the 7 of their papers we have counts for
7 papers
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining
Boshko Koloski, Nada Lavrač, Bojan Cestnik +3
In an era marked by a rapid increase in scientific publications, researchers grapple with the challenge of keeping pace with field-specific advances. We present the `AHAM' methodol…
Drug Repurposing for COVID-19 via Knowledge Graph Completion
Rui Zhang, Dimitar Hristovski, Dalton Schutte +3
Objective: To discover candidate drugs to repurpose for COVID-19 using literature-derived knowledge and knowledge graph completion methods. Methods: We propose a novel, integrative…
Scientometric analysis and knowledge mapping of literature-based discovery (1986-2020)
Andrej Kastrin, Dimitar Hristovski
Literature-based discovery (LBD) aims to discover valuable latent relationships between disparate sets of literatures. This paper presents the first inclusive scientometric overvie…
Is science driven by principal investigators?
Andrej Kastrin, Jelena Klisara, Borut Lužar +1
In this paper we consider the scientific and career performance of principal investigators (PI's) of publicly funded research projects compared to scientific performance of all res…
Quantifying the consistency of scientific databases
Lovro Šubelj, Marko Bajec, Biljana Mileva Boshkoska +2
Science is a social process with far-reaching impact on our modern society. In the recent years, for the first time we are able to scientifically study the science itself. This is…
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data
Andrej Kastrin, Borut Peterlin
Class prediction is an important application of microarray gene expression data analysis. The high-dimensionality of microarray data, where number of genes (variables) is very larg…