Data clustering using stochastic block models. - Nina Mrzelj; Pavlin Gregor Policar (CoRR, 2017)

scOrange - a tool for hands-on training of concepts from single-cell data analytics. - Martin Strazar; Lan Zagar; Jaka Kokosar; Vesna Tanko; Ales Erjavec; Pavlin G. Policar; Anze Staric; Janez Demsar; Gad Shaulsky; Vilas Menon; Andrew Lemire; Anup Parikh; et al. (Bioinform., 2019)

Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia. - Pavlin G. Policar; Dalibor Stanimirovic; Blaz Zupan (AIME, 2023)

Refining Temporal Visualizations Using the Directional Coherence Loss. - Pavlin G. Policar; Blaz Zupan (DS, 2023)

Embedding to reference t-SNE space addresses batch effects in single-cell classification. - Pavlin G. Policar; Martin Strazar; Blaz Zupan (Mach. Learn., 2023)

Teaching bioinformatics through the analysis of SARS-CoV-2: project-based training for computer science students. - Pavlin G. Policar; Martin Spendl; Tomaz Curk; Blaz Zupan (Bioinform., 2024)

Visualizing High-Dimensional Temporal Data Using Direction-Aware t-SNE. - Pavlin G. Policar; Blaz Zupan (CoRR, 2024)

VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation. - Pavlin G. Policar; Blaz Zupan (CoRR, 2024)

openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding. - Pavlin G. Policar; Martin Strazar; Blaz Zupan (J. Stat. Softw., 2024)

Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course. - Pavlin G. Policar; Martin Spendl; Tomaz Curk; Blaz Zupan (CoRR, 2025)

Uncovering temporal patterns in visualizations of high-dimensional data. - Pavlin G. Policar; Blaz Zupan (Mach. Learn., 2025)