Frederik L. Dennig

According to our database, Frederik L. Dennig authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

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., August, 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., June, 2024

Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material.

Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf

Dataset, February, 2024

The Categorical Data Map - Replication Data.

Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer

Dataset, January, 2024

Measure-Driven Visual Analytics of Categorical Data.

Frederik L. Dennig

PhD thesis, 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

Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis.

Johannes Fuchs, Frederik L. Dennig, Maria-Viktoria Heinle, Daniel A. Keim, Sara Di Bartolomeo

Comput. Graph. Forum, 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

Proceedings of the IEEE Visualization in Data Science, 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

Proceedings of the 16th International Conference on Quality of Multimedia Experience, 2024

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, Michael Blumenschein

Dataset, March, 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, Michael Blumenschein

Dataset, March, 2023

Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities.

Lucas Joos, Karsten Klein, Maximilian T. Fischer, Frederik L. Dennig, Daniel A. Keim, Michael Krone

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023

2022

Machine learning meets visualization - Experiences and lessons learned.

Quynh Quang Ngo, Frederik L. Dennig, Daniel A. Keim, Michael Sedlmair

it Inf. Technol., 2022

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

ParSetgnostics: Quality Metrics for Parallel Sets.

Frederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs, Daniel A. Keim, Evanthia Dimara

Comput. Graph. Forum, 2021

VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure.

Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim

Proceedings of the IEEE Symposium on Visualization for Cyber Security, 2021

2019

Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters.

David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein

Proceedings of the 30th IEEE Visualization Conference, 2019

FDive: Learning Relevance Models Using Pattern-based Similarity Measures.

Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

Visualizing Linguistic Change as Dimension Interactions.

Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt

Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 2019

2017

HistoBankVis: Detecting Language Change via Data Visualization.

Christin Schätzle, Michael Hund, Frederik L. Dennig, Miriam Butt, Daniel A. Keim

Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language, 2017