Erik-Jan van Kesteren

According to our database, Erik-Jan van Kesteren authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Methodological Guide on Using Large Language Models for Text Annotation in the Social Sciences and Humanities with Python and R.

Qixiang Fang, Javier Garcia-Bernardo, Erik-Jan van Kesteren

CoRR, April, 2026

2025

Community Detection in bipartite Signed Networks is Highly dependent on parameter Choice.

Elena Candellone, Erik-Jan van Kesteren, Sofia Chelmi, Javier Garcia-Bernardo

Adv. Complex Syst., May, 2025

Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees.

Raoul Schram, Samuel Spithorst, Erik-Jan van Kesteren

J. Open Source Softw., January, 2025

2024

To democratize research with sensitive data, we should make synthetic data more accessible.

Erik-Jan van Kesteren

Patterns, 2024

Open data work for empowered deliberative democracy: Findings from a living lab study.

Erna H. J. M. Ruijer, Carmen Dymanus, Erik-Jan van Kesteren, Laura Boeschoten, Albert Meijer

Gov. Inf. Q., 2024

A density ratio framework for evaluating the utility of synthetic data.

Thom Benjamin Volker, Peter-Paul de Wolf, Erik-Jan van Kesteren

CoRR, 2024

2023

On Text-based Personality Computing: Challenges and Future Directions.

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Structural Equations with Latent Variables: Computational Solutions for Modern Data Problems.

Erik-Jan van Kesteren

PhD thesis, 2021

Achieving Fair Inference Using Error-Prone Outcomes.

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

Int. J. Interact. Multim. Artif. Intell., 2021

2020

Fair inference on error-prone outcomes.

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

CoRR, 2020

2019

Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent.

Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel

CoRR, 2019