Sign in

Stefan Scholz

@stefan-scholz.bsky.social
33 followers 20 following 5 posts

Doctoral Researcher | Data and Machine Learning Enthusiast

PostsRepliesMedia
Reposted by Stefan Scholz
Mia Nahrgang @mianahrgang.bsky.social · 10/06/2025
📣 Happy to announce the publication of our article (w @nilsweidmann.bsky.social, @friederikeq.bsky.social, @sebnagel.bsky.social, @yannistheocharis.bsky.social & Molly Roberts) on the complexity and availability of community guidelines @icwsm.bsky.social! 🔗 ojs.aaai.org/index.php/IC...
083
Reposted by Stefan Scholz
Mia Nahrgang @mianahrgang.bsky.social · 28/05/2025
🚨🚀 Looking for a comparative dataset on social media platforms? We’re excited to launch COMPARE! This is a collaborative effort by @nilsweidmann.bsky.social , @friederikeq.bsky.social , @sebnagel.bsky.social , @yannistheocharis.bsky.social & Molly Roberts. 🧵⤵️ (1/5)
1134
Reposted by Stefan Scholz
Matías Piqueras @matiaspiqueras.bsky.social · 20/04/2025
Sharing our new preprint "An Image is Worth K Topics: A Visual Structural Topic Model with Image Embeddings" with @mansmag.bsky.social @matmagnani.bsky.social Alexandra Segerberg and Nataša Sladoje. Available on ArXiv: arxiv.org/abs/2504.10004
096
Reposted by Stefan Scholz
Nils Weidmann @nilsweidmann.bsky.social · 04/03/2025
Want to work with us? stellen.uni-konstanz.de/jobposting/8...
stellen.uni-konstanz.de
Postdoctoral Position in Computational Social Science
Deadline: 15.03.2025
02125
Reposted by Stefan Scholz
Political Analysis @polanalysis.bsky.social · 09/12/2024
Now in FirstView: “Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes.” @stefan-scholz.bsky.social, @nilsweidmann.bsky.social‬, @zacharyst.bsky.social, @keremoglu.bsky.social, and Bastian Goldlücke propose a two-level method for image classification.
181
Reposted by Stefan Scholz
Nils Weidmann @nilsweidmann.bsky.social · 09/12/2024
Finally out in @polanalysis.bsky.social (w/ @stefan-scholz.bsky.social, @zacharyst.bsky.social, @keremoglu.bsky.social and Bastian Goldlücke): "Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes" Available #OpenAccess at doi.org/10.1017/pan....
doi.org
Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes | Political Analysis | Cambridge Core
Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes
1155
Stefan Scholz @stefan-scholz.bsky.social · 25/10/2024
New paper forthcoming in PA, w/ @nilsweidmann.bsky.social, @zacharyst.bsky.social, @keremoglu.bsky.social and Bastian Goldlücke! We propose a method that makes image classification more transparent by identifying which objects on images are related to the outcome. Preprint: arxiv.org/abs/2407.03786
arxiv.org
Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
Treating images as data has become increasingly popular in political science. While existing classifiers for images reach high levels of accuracy, it is difficult to systematically assess the visual f...
175