Stefan Scholz
@stefan-scholz.bsky.social
Doctoral Researcher | Data and Machine Learning Enthusiast
Reposted by Stefan Scholz
📣 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...
June 10, 2025 at 11:36 AM
📣 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...
Reposted by Stefan Scholz
🚨🚀 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)
May 28, 2025 at 8:39 AM
🚨🚀 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)
Reposted by Stefan Scholz
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
April 20, 2025 at 6:24 PM
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
Reposted by Stefan Scholz
Want to work with us? stellen.uni-konstanz.de/jobposting/8...
Postdoctoral Position in Computational Social Science
Deadline: 15.03.2025
stellen.uni-konstanz.de
March 4, 2025 at 4:35 PM
Want to work with us? stellen.uni-konstanz.de/jobposting/8...
Reposted by Stefan Scholz
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.
December 9, 2024 at 5:30 PM
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.
Reposted by Stefan Scholz
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....
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
doi.org
December 9, 2024 at 10:26 AM
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....
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
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...
arxiv.org
October 25, 2024 at 9:58 AM
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