2 citations · 2 across the 7 of their papers we have counts for
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Orange Lab: Lowering Barriers to Data Mining through Embedded Interactive Workflows
Matej Bevec, Aleš Erjavec, Vesna Tanko +5
While visual programming of data analysis workflows has become an important vehicle for the democratization of data science, such systems remain largely confined to standalone appl…
Generating Statistical Charts with Validation-Driven LLM Workflows
Pavlin G. Poličar, Andraž Pevcin, Blaž Zupan
Generating diverse, readable statistical charts from tabular data remains challenging for LLMs, as many failures become apparent after rendering and are not detectable from data or…
Inferring Chronic Treatment Onset from ePrescription Data: A Renewal Process Approach
Pavlin G. Poličar, Dalibor Stanimirović, Blaž Zupan
Longitudinal electronic health record (EHR) data are often left-censored, making diagnosis records incomplete and unreliable for determining disease onset. In contrast, outpatient…
Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course
Pavlin G. Poličar, Martin Špendl, Tomaž Curk +1
Providing students with individualized feedback through assignments is a cornerstone of education that supports their learning and development. Studies have shown that timely, high…
VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
Pavlin G. Poličar, Blaž Zupan
Two-dimensional embeddings obtained from dimensionality reduction techniques such as MDS, t-SNE, or UMAP, are widely used to visualize high-dimensional data and support researchers…
Uncovering Temporal Patterns in Visualizations of High-Dimensional Data
Pavlin G. Poličar, Blaž Zupan
With the increasing availability of high-dimensional data, analysts often rely on exploratory data analysis to understand complex data sets. A key approach to exploring such data i…