Timothée Schmude

According to our database, Timothée Schmude authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

"Two Means to an End Goal": Connecting Explainability and Contestability in the Regulation of Public Sector AI.

Timothée Schmude, Mireia Yurrita, Kars Alfrink, Thomas Le Goff, Tiphaine Viard

CoRR, April, 2025

Information that matters: Exploring information needs of people affected by algorithmic decisions.

Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek

Int. J. Hum. Comput. Stud., 2025

Explainability and Contestability for the Responsible Use of Public Sector AI.

Timothée Schmude

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Deliberative XAI: How Explanations Impact Understanding and Decision-Making of AI Novices in Collective and Individual Settings.

Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek

CoRR, 2024

Challenging the Human-in-the-loop in Algorithmic Decision-making.

Sebastian Tschiatschek, Eugenia Stamboliev, Timothée Schmude, Mark Coeckelbergh, Laura Koesten

CoRR, 2024

2023

Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making.

Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek

CoRR, 2023

QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems.

Oana Inel, Nicolas Mattis, Milda Norkute, Alessandro Piscopo, Timothée Schmude, Sanne Vrijenhoek, Krisztian Balog

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

On the Impact of Explanations on Understanding of Algorithmic Decision-Making.

Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2020

Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain.

Birgit Kirsch, Sven Giesselbach, Timothée Schmude, Malte Völkening, Frauke Rostalski, Stefan Rüping

Proceedings of the Conference "Lernen, 2020