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Laura Boeschoten
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2020 – today
- 2024
- [j6]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): 101902 (2024) - 2023
- [j5]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): 5596 (2023) - [c2]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: 10861-10879 - 2022
- [j4]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): 100444 (2022) - [i5]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 abs/2212.06711 (2022) - 2021
- [j3]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): 101-120 (2021) - [j2]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): 9-15 (2021) - [i4]Laura Boeschoten, Roos Voorvaart, Casper S. Kaandorp, Ruben van den Goorbergh, Martine de Vos:
Automatic de-identification of Data Download Packages. CoRR abs/2105.02175 (2021) - [i3]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 abs/2110.05154 (2021) - 2020
- [c1]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: 523 - [i2]Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski:
Fair inference on error-prone outcomes. CoRR abs/2003.07621 (2020) - [i1]Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski:
A framework for digital trace data collection through data donation. CoRR abs/2011.09851 (2020)
2010 – 2019
- 2019
- [j1]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): 566-575 (2019)
Coauthor Index
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last updated on 2024-07-04 21:28 CEST by the dblp team
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