Pavlin Gregor Policar

According to our database, Pavlin Gregor Policar authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Generating Statistical Charts with Validation-Driven LLM Workflows.

Pavlin G. Policar, Andraz Pevcin, Blaz Zupan

CoRR, May, 2026

Inferring Chronic Treatment Onset from ePrescription Data: A Renewal Process Approach.

Pavlin G. Policar, Dalibor Stanimirovic, Blaz Zupan

CoRR, February, 2026

2025

Low-dimensional embeddings of high-dimensional data.

Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak

CoRR, August, 2025

Uncovering temporal patterns in visualizations of high-dimensional data.

Pavlin G. Policar, Blaz Zupan

Mach. Learn., January, 2025

Automated assignment grading with large language models: insights from a bioinformatics course.

Pavlin G. Policar, Martin Spendl, Tomaz Curk, Blaz Zupan

Bioinform., 2025

2024

openTSNE: A Modular <i>Python</i> Library for t-SNE Dimensionality Reduction and Embedding.

Pavlin G. Policar, Martin Strazar, Blaz Zupan

J. Stat. Softw., 2024

VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation.

Pavlin G. Policar, Blaz Zupan

CoRR, 2024

Visualizing High-Dimensional Temporal Data Using Direction-Aware t-SNE.

Pavlin G. Policar, Blaz Zupan

CoRR, 2024

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

2023

Refining Temporal Visualizations Using the Directional Coherence Loss.

Pavlin G. Policar, Blaz Zupan

Proceedings of the Discovery Science - 26th International Conference, 2023

Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia.

Pavlin G. Policar, Dalibor Stanimirovic, Blaz Zupan

Proceedings of the Artificial Intelligence in Medicine, 2023

2019

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, Blaz Zupan

Bioinform., 2019

Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification.

Pavlin G. Policar, Martin Strazar, Blaz Zupan

Proceedings of the Discovery Science - 22nd International Conference, 2019

2017

Data clustering using stochastic block models.

Nina Mrzelj, Pavlin Gregor Policar

CoRR, 2017