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Laura Boeschoten
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2020 – today
- 2024
- [j7]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) - [j6]Valerie Hase, Jef Ausloos, Laura Boeschoten, Nico Pfiffner, Heleen Janssen, Theo B. Araujo, Thijs Carrière, Claes de Vreese, Jörg Haßler, Felicia Loecherbach, Zoltán Kmetty, Judith Möller, Jakob Ohme, Elisabeth Schmidbauer, Bella Struminskaya, Damian Trilling, Kasper Welbers, Mario Haim:
Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies? Internet Policy Rev. 13(3) (2024) - 2023
- [j5]Laura Boeschoten
, Niek C. de Schipper
Port: A software tool for digital data donation. J. Open Source Softw. 8(90): 5596 (2023) - [c2]Qixiang Fang
On Text-based Personality Computing: Challenges and Future Directions. ACL (Findings) 2023: 10861-10879 - 2022
- [j4]Laura Boeschoten
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
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 2024-12-09 22:14 CET by the dblp team
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