David Hartmann

According to our database, David Hartmann authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society.

David Hartmann, José Renato Laranjeira de Pereira, Chiara Streitbörger, Bettina Berendt

AI Ethics, August, 2025

A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes.

David Hartmann, Sonja Mei Wang, Lena Pohlmann, Bettina Berendt

J. Comput. Soc. Sci., May, 2025

Boosting Performance on ARC is a Matter of Perspective.

Daniel Franzen, Jan Disselhoff, David Hartmann

CoRR, May, 2025

Out of Sight Out of Mind, Out of Sight Out of Mind: Measuring Bias in Language Models Against Overlooked Marginalized Groups in Regional Contexts.

Fatma Elsafoury, David Hartmann

CoRR, April, 2025

Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations.

David Hartmann, Amin Oueslati, Dimitri Staufer, Lena Pohlmann, Simon Munzert, Hendrik Heuer

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

2024

Addressing the Regulatory Gap: Moving Towards an EU AI Audit Ecosystem Beyond the AIA by Including Civil Society.

David Hartmann, José Renato Laranjeira de Pereira, Chiara Streitbörger, Bettina Berendt

CoRR, 2024

Watching the Watchers: a Comparative Fairness Audit of Cloud-based Content Moderation Services.

David Hartmann, Amin Oueslati, Dimitri Staufer

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

2022

Configurable Per-Query Data Minimization for Privacy-Compliant Web APIs.

Frank Pallas, David Hartmann, Paul Heinrich, Josefine Kipke, Elias Grünewald

Proceedings of the Web Engineering - 22nd International Conference, 2022

2021

Studying the Evolution of Neural Activation Patterns During Training of Feed-Forward ReLU Networks.

David Hartmann, Daniel Franzen, Sebastian Brodehl

Frontiers Artif. Intell., 2021

Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification.

Frauke Wilm, Michaela Benz, Volker Bruns, Serop Baghdadlian, Jakob Dexl, David Hartmann, Petr Kuritcyn, Martin Weidenfeller, Thomas Wittenberg, Susanne Merkel, Arndt Hartmann, Markus Eckstein, Carol I. Geppert

CoRR, 2021

Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks.

Christian H. X. Ali Mehmeti-Göpel, David Hartmann, Michael Wand

Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Prototype Few-shot Learning in Histopathology.

Jessica Deuschel, Daniel Firmbach, Carol I. Geppert, Markus Eckstein, Arndt Hartmann, Volker Bruns, Petr Kuritcyn, Jakob Dexl, David Hartmann, Dominik Perrin, Thomas Wittenberg, Michaela Benz

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Slide Cartography in Colon Cancer Histology - Evaluation on a Multi-scanner Database.

Petr Kuritcyn, Carol I. Geppert, Markus Eckstein, Arndt Hartmann, Thomas Wittenberg, Jakob Dexl, Serop Baghdadlian, David Hartmann, Dominik Perrin, Volker Bruns, Michaela Benz

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2019

Progressive Stochastic Binarization of Deep Networks.

David Hartmann, Michael Wand

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach.

Matthias Bergler, Michaela Benz, David Rauber, David Hartmann, Malte Kötter, Markus Eckstein, Regine Schneider-Stock, Arndt Hartmann, Susanne Merkel, Volker Bruns, Thomas Wittenberg, Carol Geppert

Proceedings of the Digital Pathology - 15th European Congress, 2019