HistoBankVis: Detecting Language Change via Data Visualization. - Christin Schätzle; Michael Hund; Frederik L. Dennig; Miriam Butt; Daniel A. Keim (ListLang@NoDaLiDa, 2017)

Visualizing Linguistic Change as Dimension Interactions. - Christin Schätzle; Frederik L. Dennig; Michael Blumenschein; Daniel A. Keim; Miriam Butt (LChange@ACL, 2019)

FDive: Learning Relevance Models Using Pattern-based Similarity Measures. - Frederik L. Dennig; Tom Polk; Zudi Lin; Tobias Schreck; Hanspeter Pfister; Michael Behrisch 001 (VAST, 2019)

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)

VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. - Frederik L. Dennig; Eren Cakmak; Henrik Plate; Daniel A. Keim (VizSec, 2021)

ParSetgnostics: Quality Metrics for Parallel Sets. - Frederik L. Dennig; Maximilian T. Fischer; Michael Blumenschein; Johannes Fuchs 001; Daniel A. Keim; Evanthia Dimara (Comput. Graph. Forum, 2021)

Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. - Maximilian T. Fischer; Frederik L. Dennig; Daniel Seebacher; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2021)

Machine learning meets visualization - Experiences and lessons learned. - Quynh Quang Ngo; Frederik L. Dennig; Daniel A. Keim; Michael Sedlmair (it Inf. Technol., 2022)

Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities. - Lucas Joos; Karsten Klein 001; Maximilian T. Fischer; Frederik L. Dennig; Daniel A. Keim; Michael Krone (ISMAR, 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)

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)

Inverting Multidimensional Scaling Projections Using Data Point Multilateration. - Daniela Blumberg; Yu Wang 188; Alexandru C. Telea; Daniel A. Keim; Frederik L. Dennig (EuroVA@EuroVis, 2024)

cPro: Circular Projections Using Gradient Descent. - Raphael Buchmüller; Bastian Jäckl; Michael Behrisch 001; Daniel A. Keim; Frederik L. Dennig (EuroVA@EuroVis, 2024)

An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. - Mohsen Jenadeleh; Frederik L. Dennig; René Cutura; Quynh Quang Ngo; Daniel A. Keim; Michael Sedlmair; Dietmar Saupe (QoMEX, 2024)

The Categorical Data Map: A Multidimensional Scaling-Based Approach. - Frederik L. Dennig; Lucas Joos; Patrick Paetzold; Daniela Blumberg; Oliver Deussen; Daniel A. Keim; Maximilian T. Fischer (VDS@VIS, 2024)

Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis. - Johannes Fuchs 001; Frederik L. Dennig; Maria-Viktoria Heinle; Daniel A. Keim; Sara Di Bartolomeo (Comput. Graph. Forum, 2024)

Toward the Categorical Data Map. - Frederik L. Dennig; Lucas Joos; Patrick Paetzold; Daniela Blumberg; Oliver Deussen; Daniel A. Keim; Maximilian T. Fischer (CoRR, 2024)

Measure-Driven Visual Analytics of Categorical Data. - Frederik L. Dennig (2024)

The Categorical Data Map - Replication Data. - Frederik L. Dennig; Lucas Joos; Patrick Paetzold; Daniela Blumberg; Oliver Deussen; Daniel A. Keim; Maximilian T. Fischer (DaRUS, 2024)

Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material. - Nils Rodrigues; Frederik L. Dennig; Vincent Brandt; Daniel A. Keim; Daniel Weiskopf (DaRUS, 2024)

Comparative Evaluation of Animated Scatter Plot Transitions. - Nils Rodrigues; Frederik L. Dennig; Vincent Brandt; Daniel A. Keim; Daniel Weiskopf (IEEE Trans. Vis. Comput. Graph., 2024)

FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space. - Frederik L. Dennig; Matthias Miller; Daniel A. Keim; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2024)

Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets". - Frederik L. Dennig; Maximilian T. Fischer; Michael Blumenschein; Johannes Fuchs 001; Daniel A. Keim; Evanthia Dimara (DaRUS, 2024)

MultiInv: Inverting multidimensional scaling projections and computing decision maps by multilateration. - Daniela Blumberg; Yu Wang 188; Alexandru C. Telea; Daniel A. Keim; Frederik L. Dennig (Comput. Graph., 2025)

Visually Assessing 1-D Orderings of Contiguous Spatial Polygons. - Julius Rauscher; Frederik L. Dennig; Udo Schlegel; Daniel A. Keim; Johannes Fuchs 001 (Comput. Graph. Forum, 2025)

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

DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy. - Frederik L. Dennig; Daniel A. Keim (CoRR, 2025)