Erik-Jan van Kesteren

13 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Community Detection in bipartite Signed Networks is Highly dependent on parameter Choice.
Adv. Complex Syst.
Elena Candellone, Erik-Jan van Kesteren, Sofia Chelmi, Javier Garcia-Bernardo
2025 J jnl
Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees.
J. Open Source Softw.
Raoul Schram, Samuel Spithorst, Erik-Jan van Kesteren
2024 J jnl
A density ratio framework for evaluating the utility of synthetic data.
CoRR
Thom Benjamin Volker, Peter-Paul de Wolf, Erik-Jan van Kesteren
2024 J jnl
Community detection in bipartite signed networks is highly dependent on parameter choice.
CoRR
Elena Candellone, Erik-Jan van Kesteren, Sofia Chelmi, Javier Garcia-Bernardo
2024 J jnl
Open data work for empowered deliberative democracy: Findings from a living lab study.
Gov. Inf. Q.
Erna H. J. M. Ruijer, Carmen Dymanus, Erik-Jan van Kesteren, Laura Boeschoten, Albert Meijer
2024 J jnl
To democratize research with sensitive data, we should make synthetic data more accessible.
CoRR
Erik-Jan van Kesteren
2024 J jnl
To democratize research with sensitive data, we should make synthetic data more accessible.
Patterns
Erik-Jan van Kesteren
2023 — conf
On Text-based Personality Computing: Challenges and Future Directions.
ACL (Findings)
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
2022 J jnl
On Text-based Personality Computing: Challenges and Future Directions.
CoRR
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
2021 J jnl
Achieving Fair Inference Using Error-Prone Outcomes.
Int. J. Interact. Multim. Artif. Intell.
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
2021 — —
Structural Equations with Latent Variables: Computational Solutions for Modern Data Problems.
Erik-Jan van Kesteren
2020 J jnl
Fair inference on error-prone outcomes.
CoRR
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
2019 J jnl
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent.
CoRR
Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel