Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. - David Pomerenke; Frederik L. Dennig; Daniel A. Keim; Johannes Fuchs 001; Michael Blumenschein (IEEE VIS (Short Papers), 2019)

Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. - Michael Blumenschein; Xuan Zhang; David Pomerenke; Daniel A. Keim; Johannes Fuchs 001 (Comput. Graph. Forum, 2020)

Explainable AI through the Learning of Arguments. - Jonas Bei; David Pomerenke; Lukas Schreiner; Sepideh Sharbaf; Pieter Collins; Nico Roos (CoRR, 2022)

INCLUSIFY: A benchmark and a model for gender-inclusive German. - David Pomerenke (CoRR, 2022)

Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". - David Pomerenke; Frederik L. Dennig; Daniel A. Keim; Johannes Fuchs 001; Michael Blumenschein (DaRUS, 2023)

Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". - David Pomerenke; Frederik L. Dennig; Daniel A. Keim; Johannes Fuchs 001; Michael Blumenschein (DaRUS, 2023)

The AI Language Proficiency Monitor - Tracking the Progress of LLMs on Multilingual Benchmarks. - David Pomerenke; Jonas Nothnagel; Simon Ostermann 002 (CoRR, 2025)