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Frederik L. Dennig
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2020 – today
- 2024
- [b1]Frederik L. Dennig:
Measure-Driven Visual Analytics of Categorical Data. University of Konstanz, Germany, 2024 - [j5]Johannes Fuchs, Frederik L. Dennig, Maria-Viktoria Heinle, Daniel A. Keim, Sara Di Bartolomeo:
Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis. Comput. Graph. Forum 43(3) (2024) - [j4]Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf:
Comparative Evaluation of Animated Scatter Plot Transitions. IEEE Trans. Vis. Comput. Graph. 30(6): 2929-2941 (2024) - [j3]Frederik L. Dennig, Matthias Miller, Daniel A. Keim, Mennatallah El-Assady:
FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space. IEEE Trans. Vis. Comput. Graph. 30(8): 5165-5182 (2024) - [c8]Mohsen Jenadeleh, Frederik L. Dennig, René Cutura, Quynh Quang Ngo, Daniel A. Keim, Michael Sedlmair, Dietmar Saupe:
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. QoMEX 2024: 278-281 - [c7]Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer:
The Categorical Data Map: A Multidimensional Scaling-Based Approach. VDS@VIS 2024: 25-34 - [d4]Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer:
The Categorical Data Map - Replication Data. DaRUS, 2024 - [d3]Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf:
Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material. DaRUS, 2024 - [i6]Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf:
Comparative Evaluation of Animated Scatter Plot Transitions. CoRR abs/2401.04692 (2024) - [i5]Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer:
Toward the Categorical Data Map. CoRR abs/2404.16044 (2024) - 2023
- [c6]Lucas Joos, Karsten Klein, Maximilian T. Fischer, Frederik L. Dennig, Daniel A. Keim, Michael Krone:
Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities. ISMAR 2023: 790-799 - [d2]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". 2.0. DaRUS, 2023 [all versions] - [d1]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". 2.1. DaRUS, 2023 [all versions] - 2022
- [j2]Quynh Quang Ngo, Frederik L. Dennig, Daniel A. Keim, Michael Sedlmair:
Machine learning meets visualization - Experiences and lessons learned. it Inf. Technol. 64(4-5): 169-180 (2022) - 2021
- [j1]Frederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs, Daniel A. Keim, Evanthia Dimara:
ParSetgnostics: Quality Metrics for Parallel Sets. Comput. Graph. Forum 40(3): 375-386 (2021) - [c5]Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim:
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. VizSec 2021: 79-83 - [i4]Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher, Daniel A. Keim, Mennatallah El-Assady:
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. CoRR abs/2106.14802 (2021) - [i3]Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim:
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. CoRR abs/2108.06259 (2021)
2010 – 2019
- 2019
- [c4]Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt:
Visualizing Linguistic Change as Dimension Interactions. LChange@ACL 2019: 272-278 - [c3]Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST 2019: 69-80 - [c2]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. IEEE VIS (Short Papers) 2019: 86-90 - [i2]Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models using Pattern-based Similarity Measures. CoRR abs/1907.12489 (2019) - [i1]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. CoRR abs/1908.00500 (2019) - 2017
- [c1]Christin Schätzle, Michael Hund, Frederik L. Dennig, Miriam Butt, Daniel A. Keim:
HistoBankVis: Detecting Language Change via Data Visualization. ListLang@NoDaLiDa 2017: 32-39
Coauthor Index
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