papers

Publications (8)

cs.CY2024

A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications

Bram van Dijk, Saif ul Islam, Jim Achterberg +6

Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due t…

astro-ph.IM2016

The Astropy Problem

Demitri Muna, Michael Alexander, Alice Allen +151

The Astropy Project (http://astropy.org) is, in its own words, "a community effort to develop a single core package for Astronomy in Python and foster interoperability between Pyth…

cs.DB2025

The Data Sharing Paradox of Synthetic Data in Healthcare

Jim Achterberg, Bram van Dijk, Saif ul Islam +6

Synthetic data offers a promising solution to privacy concerns in healthcare by generating useful datasets in a privacy-aware manner. However, although synthetic data is typically…

cs.CL2026

Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages

Hielke Muizelaar, Giulia Rivetti, Marco Spruit +1

The paper investigates using machine translation to convert low‑resource language data into English and then fine‑tuning an English BERT model, comparing this approach to native‑la…

#machine translation#cross-lingual transfer#low-resource languages#bert fine-tuning
astro-ph.GA2014

Stellar Signatures of AGN Jet Triggered Star Formation

Zachary Dugan, Sarah Bryan, Volker Gaibler +2

To investigate feedback between relativistic jets emanating from Active Galactic Nuclei (AGN) and the stellar population of the host galaxy, we analyze the long-term evolution of t…

cs.IR2026

OpenExtract: Automated Data Extraction for Systematic Reviews in Health

Jim Achterberg, Bram Van Dijk, Jing Meng +8

This study presents OpenExtract, an open-source pipeline for automated data extraction in large-scale systematic literature reviews. The pipeline queries large language models (LLM…