SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks-Reference-Cited by-同舟云学术

SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks

Published:2023-05-30 Issue: Volume: Page:
ISSN:
Container-title:2023 Symposium on Eye Tracking Research and Applications
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Author:

Prasse Paul¹^ORCID,Reich David Robert²^ORCID,Makowski Silvia¹^ORCID,Ahn Seoyoung³^ORCID,Scheffer Tobias⁴^ORCID,Jäger Lena A.⁵^ORCID

Affiliation:

1. University of Potsdam, Germany

2. Universität Potsdam, Germany

3. Psychology, Stony Brook University, United States

4. Computer Science, University of Potsdam, Germany

5. Department of Computational Linguistics, University of Zurich, Switzerland and Computer Science, University of Potsdam, Germany

Funder

German Federal Ministry of Education and Research

Publisher

ACM

Reference39 articles.

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5. Christopher Bowles , Liang Chen , Ricardo Guerrero , Paul Bentley , Roger Gunn , Alexander Hammers , David Alexander Dickie , Maria Valdés Hernández , Joanna Wardlaw , and Daniel Rueckert . 2018. GAN augmentation: Augmenting training data using generative adversarial networks. arXiv preprint arXiv:1810.10863 ( 2018 ). Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger Gunn, Alexander Hammers, David Alexander Dickie, Maria Valdés Hernández, Joanna Wardlaw, and Daniel Rueckert. 2018. GAN augmentation: Augmenting training data using generative adversarial networks. arXiv preprint arXiv:1810.10863 (2018).