Interactive Webtool for Tempospatial Data and Visual Audio Analysis : VAST Challenge 2018: Honorable Mention for Interactive Analytic Tool. - Benedikt Bäumle; Ina Boesecke; Raphael Buchmüller; Yannick Metz; Juri Buchmüller; Eren Cakmak; Wolfgang Jentner; Daniel A. Keim (VAST, 2018)

A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. - Yannick Metz; Udo Schlegel; Daniel Seebacher; Mennatallah El-Assady; Daniel A. Keim (EuroVA@EuroVis, 2022)

BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. - Eugene Bykovets; Yannick Metz; Mennatallah El-Assady; Daniel A. Keim; Joachim M. Buhmann (CoRR, 2022)

How to Enable Uncertainty Estimation in Proximal Policy Optimization. - Eugene Bykovets; Yannick Metz; Mennatallah El-Assady; Daniel A. Keim; Joachim M. Buhmann (CoRR, 2022)

A text and image analysis workflow using citizen science data to extract relevant social media records: Combining red kite observations from Flickr, eBird and iNaturalist. - Maximilian C. Hartmann; Moritz Schott; Alishiba Dsouza; Yannick Metz; Michele Volpi; Ross S. Purves (Ecol. Informatics, 2022)

Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. - Dirk Streeb; Yannick Metz; Udo Schlegel; Bruno Schneider; Mennatallah El-Assady; Hansjörg Neth; Min Chen 001; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2022)

RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback. - Yannick Metz; David Lindner; Raphaël Baur; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2023)

VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning. - Yannick Metz; Eugene Bykovets; Lucas Joos; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2023)

Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent. - Yannick Metz; Dennis Ackermann; Daniel A. Keim; Maximilian T. Fischer (VDS@VIS, 2024)

MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework. - Maximilian T. Fischer; Yannick Metz; Lucas Joos; Matthias Miller; Daniel A. Keim (CoRR, 2024)

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework. - Yannick Metz; David Lindner; Raphaël Baur; Mennatallah El-Assady (CoRR, 2024)

Leveraging Color Channel Independence for Improved Unsupervised Object Detection. - Bastian Jäckl; Yannick Metz; Udo Schlegel; Daniel A. Keim; Maximilian T. Fischer (CoRR, 2024)

Reward Learning from Multiple Feedback Types. - Yannick Metz; András Geiszl; Raphaël Baur; Mennatallah El-Assady (ICLR, 2025)

OPTIMAP: A Dataset for Open Public Transport Infrastructure and Mobility Accessibility Profiles. - Maximilian T. Fischer; Daniel Fürst; Yannick Metz; Manuel Schmidt; Julius Rauscher; Daniel A. Keim (Zenodo, 2025)

Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections. - Frederik L. Dennig; Nina Geyer; Daniela Blumberg; Yannick Metz; Daniel A. Keim (CoRR, 2025)