Laura Boeschoten

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Data Collections

Manual Annotation

Future Directions

Top Venues

Publications

Erna H. J. M. Ruijer, Carmen Dymanus, Erik-Jan van Kesteren, Laura Boeschoten, Albert Meijer
Open data work for empowered deliberative democracy: Findings from a living lab study. Gov. Inf. Q. 41 (1) (2024)
Laura Boeschoten, Niek C. de Schipper, Adriënne M. Mendrik, Emiel van der Veen, Bella Struminskaya, Heleen Janssen, Theo B. Araujo
Port: A software tool for digital data donation. J. Open Source Softw. 8 (90) (2023)
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
On Text-based Personality Computing: Challenges and Future Directions. ACL (Findings) (2023)
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
Privacy-preserving local analysis of digital trace data: A proof-of-concept. Patterns 3 (3) (2022)
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
On Text-based Personality Computing: Challenges and Future Directions. CoRR (2022)
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
Privacy preserving local analysis of digital trace data: A proof-of-concept. CoRR (2021)
Laura Boeschoten, Roos Voorvaart, Ruben van den Goorbergh, Casper S. Kaandorp, Martine de Vos
Automatic de-identification of data download packages. Data Sci. 4 (2) (2021)
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
Achieving Fair Inference Using Error-Prone Outcomes. Int. J. Interact. Multim. Artif. Intell. 6 (5) (2021)
Laura Boeschoten, Roos Voorvaart, Casper S. Kaandorp, Ruben van den Goorbergh, Martine de Vos
Automatic de-identification of Data Download Packages. CoRR (2021)
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
Fair inference on error-prone outcomes. CoRR (2020)
Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski
A framework for digital trace data collection through data donation. CoRR (2020)
Laura Boeschoten, Irene I. van Driel, Daniel L. Oberski, Loes J. Pouwels
Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages. ICMI Companion (2020)
Laura Boeschoten, Marcel A. Croon, Daniel L. Oberski
A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints. J. Classif. 36 (3) (2019)