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ORCIDDaniel A. Keim
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- affiliation: University of Konstanz, Germany
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2020 – today
- 2023
[j172]Daniel Seebacher
, Tom Polk, Halldor Janetzko, Daniel A. Keim, Tobias Schreck, Manuel Stein:
Investigating the Sketchplan: A Novel Way of Identifying Tactical Behavior in Massive Soccer Datasets. IEEE Trans. Vis. Comput. Graph. 29(4): 1920-1936 (2023)- [i47]Richard Brath, Daniel A. Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer, Hendrik Strobelt:
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. CoRR abs/2301.04528 (2023) - 2022
- [j171]Matthias Kraus, Johannes Fuchs, Björn Sommer, Karsten Klein, Ulrich Engelke, Daniel A. Keim, Falk Schreiber:
Immersive Analytics with Abstract 3D Visualizations: A Survey. Comput. Graph. Forum 41(1): 201-229 (2022) - [j170]Matthias Miller, Daniel Fürst, Hanna Hauptmann, Daniel A. Keim, Mennatallah El-Assady:
Augmenting Digital Sheet Music through Visual Analytics. Comput. Graph. Forum 41(1): 301-316 (2022) - [j169]Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady:
CorpusVis: Visual Analysis of Digital Sheet Music Collections. Comput. Graph. Forum 41(3): 283-294 (2022) - [j168]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) - [j167]Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim:
Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. IEEE Trans. Vis. Comput. Graph. 28(9): 3307-3323 (2022) - [j166]Lucas Joos, Sabrina Jaeger-Honz, Falk Schreiber, Daniel A. Keim, Karsten Klein:
Visual Comparison of Networks in VR. IEEE Trans. Vis. Comput. Graph. 28(11): 3651-3661 (2022) - [j165]Rita Sevastjanova, Mennatallah El-Assady, Adam Bradley, Christopher Collins, Miriam Butt, Daniel A. Keim:
VisInReport: Complementing Visual Discourse Analytics Through Personalized Insight Reports. IEEE Trans. Vis. Comput. Graph. 28(12): 4757-4769 (2022) - [j164]Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim, Johannes Fuchs:
Multiscale Visualization: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 28(12): 4918-4929 (2022) - [c282]Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm:
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. FAccT 2022: 877-889 - [c281]Julius Rauscher, Matthias Miller, Daniel A. Keim:
Visual Exploration of Preference-based Routes in Ski Resorts. EuroVis (Posters) 2022: 71-73 - [e10]Jan Bender, Mario Botsch, Daniel A. Keim:
VMV 2022, 27th International Symposium on Vision, Modeling, and Visualization, Konstanz, Germany, September 27-30, 2022. Eurographics Association 2022 [contents] - [i46]Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm:
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. CoRR abs/2203.09859 (2022) - [i45]Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady:
CorpusVis: Visual Analysis of Digital Sheet Music Collections. CoRR abs/2203.12663 (2022) - [i44]Udo Schlegel, Samuel Schiegg, Daniel A. Keim:
ViNNPruner: Visual Interactive Pruning for Deep Learning. CoRR abs/2205.15731 (2022) - [i43]Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. CoRR abs/2208.10481 (2022) - [i42]Eren Cakmak, Johannes Fuchs, Dominik Jäckle, Tobias Schreck, Ulrik Brandes, Daniel A. Keim:
Motif-Based Visual Analysis of Dynamic Networks. CoRR abs/2208.11932 (2022) - [i41]Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
How to Enable Uncertainty Estimation in Proximal Policy Optimization. CoRR abs/2210.03649 (2022) - [i40]Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke:
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). Dagstuhl Reports 12(8): 103-116 (2022) - 2021
- [j163]Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Co-adaptive visual data analysis and guidance processes. Comput. Graph. 100: 93-105 (2021) - [j162]Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara:
SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Comput. Graph. 101: 23-34 (2021) - [j161]Dirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen:
Why Visualize? Arguments for Visual Support in Decision Making. IEEE Computer Graphics and Applications 41(2): 17-22 (2021) - [j160]Matthias Kraus, Karsten Klein, Johannes Fuchs, Daniel A. Keim, Falk Schreiber, Michael Sedlmair, Theresa-Marie Rhyne:
The Value of Immersive Visualization. IEEE Computer Graphics and Applications 41(4): 125-132 (2021) - [j159]Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [j158]Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. Comput. Graph. Forum 40(3): 25-36 (2021) - [j157]Fabian Sperrle, Hanna Schäfer, Daniel A. Keim, Mennatallah El-Assady:
Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement. Comput. Graph. Forum 40(3): 215-226 (2021) - [j156]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) - [j155]Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40(3): 543-567 (2021) - [j154]Bruno Schneider, Dominik Jäckle, Florian Stoffel, Alexandra Diehl, Johannes Fuchs, Daniel A. Keim:
Integrating Data and Model Space in Ensemble Learning by Visual Analytics. IEEE Trans. Big Data 7(3): 483-496 (2021) - [j153]Daniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim:
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. IEEE Trans. Big Data 7(3): 497-509 (2021) - [j152]Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck:
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. IEEE Trans. Vis. Comput. Graph. 27(2): 517-527 (2021) - [j151]Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. IEEE Trans. Vis. Comput. Graph. 27(2): 550-560 (2021) - [j150]Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim:
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. IEEE Trans. Vis. Comput. Graph. 27(2): 1623-1633 (2021) - [j149]Dirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen:
Why Visualize? Untangling a Large Network of Arguments. IEEE Trans. Vis. Comput. Graph. 27(3): 2220-2236 (2021) - [c280]Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim:
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration. EDBT/ICDT Workshops 2021 - [c279]Eren Cakmak, Manuel Plank, Daniel S. Calovi, Alex Jordan, Daniel A. Keim:
Spatio-temporal clustering benchmark for collective animal behavior. HANIMOB@SIGSPATIAL 2021: 5-8 - [c278]Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher:
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. PKDD/ECML Workshops (1) 2021: 5-14 - [c277]Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. IEEE VIS (Short Papers) 2021: 81-85 - [c276]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 - [i39]Maximilian T. Fischer, Daniel A. Keim, Manuel Stein:
Video-based Analysis of Soccer Matches. CoRR abs/2105.04875 (2021) - [i38]Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. CoRR abs/2105.04897 (2021) - [i37]Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. CoRR abs/2106.06334 (2021) - [i36]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) - [i35]Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. CoRR abs/2107.13936 (2021) - [i34]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) - [i33]Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher:
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR abs/2109.08438 (2021) - [i32]Udo Schlegel, Daniel A. Keim:
Time Series Model Attribution Visualizations as Explanations. CoRR abs/2109.12935 (2021) - 2020
- [j148]Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim, Beatriz Sousa Santos, Ginger Alford:
Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions. IEEE Computer Graphics and Applications 40(2): 98-102 (2020) - [j147]Eren Cakmak, Hanna Schäfer, Juri Buchmüller, Johannes Fuchs, Tobias Schreck, Alex Jordan, Daniel A. Keim:
MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior. Comput. Graph. Forum 39(3): 63-75 (2020) - [j146]Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, Johannes Fuchs:
Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. Comput. Graph. Forum 39(3): 537-549 (2020) - [j145]Michael Blumenschein, Luka J. Debbeler, Nadine C. Lages, Britta Renner, Daniel A. Keim, Mennatallah El-Assady:
v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions. Comput. Graph. Forum 39(3): 565-577 (2020) - [j144]Matthias Kraus, Thomas Pollok, Matthias Miller, Timon Urs Kilian, Tobias Moritz, Daniel Schweitzer, Jürgen Beyerer, Daniel A. Keim, Chengchao Qu, Wolfgang Jentner:
Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction. Sensors 20(18): 5426 (2020) - [j143]Matthias Kraus, Niklas Weiler, Daniela Oelke, Johannes Kehrer, Daniel A. Keim, Johannes Fuchs:
The Impact of Immersion on Cluster Identification Tasks. IEEE Trans. Vis. Comput. Graph. 26(1): 525-535 (2020) - [j142]Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen:
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. IEEE Trans. Vis. Comput. Graph. 26(1): 1001-1011 (2020) - [c275]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
Quality Metrics for Symmetric Graph Drawings. PacificVis 2020: 11-15 - [c274]Matthias Kraus, Katrin Angerbauer, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs:
Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study. CHI 2020: 1-14 - [c273]Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara:
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. EuroVA@Eurographics/EuroVis 2020: 1-5 - [c272]Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. EuroVA@Eurographics/EuroVis 2020: 61-65 - [c271]Bruno Schneider, Daniel A. Keim, Mennatallah El-Assady:
DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning. VISIGRAPP (3: IVAPP) 2020: 141-148 - [c270]Matthias Kraus, Hanna Schäfer, Philipp Meschenmoser, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs:
A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual Teleportation. ISMAR 2020: 227-238 - [c269]Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards visual debugging for multi-target time series classification. IUI 2020: 202-206 - [c268]Udo Schlegel, Eren Cakmak, Daniel A. Keim:
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods. MLVis@Eurographics/EuroVis 2020: 7-11 - [i31]Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Evanthia Dimara, Daniel A. Keim:
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. CoRR abs/2003.12282 (2020) - [i30]Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. CoRR abs/2008.07299 (2020) - [i29]Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck:
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. CoRR abs/2008.08282 (2020) - [i28]Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim:
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. CoRR abs/2009.00548 (2020) - [i27]Daniel Fürst, Matthias Miller, Daniel A. Keim, Alexandra Bonnici, Hanna Schäfer, Mennatallah El-Assady:
Augmenting Sheet Music with Rhythmic Fingerprints. CoRR abs/2009.02057 (2020) - [i26]Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. CoRR abs/2009.06433 (2020) - [i25]Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim:
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs. CoRR abs/2009.07322 (2020) - [i24]Alexandra Diehl, Matthias Kraus, Alfie Abdul-Rahman, Mennatallah El-Assady, Benjamin Bach, Robert S. Laramee, Daniel A. Keim, Min Chen:
Studying Visualization Guidelines According to Grounded Theory. CoRR abs/2010.09040 (2020) - [i23]Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau:
A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR abs/2010.11761 (2020) - [i22]Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady:
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks. CoRR abs/2012.04344 (2020) - [i21]Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert:
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). Dagstuhl Reports 10(4): 37-42 (2020)
2010 – 2019
- 2019
- [j141]Manuel Stein, Halldór Janetzko, Tobias Schreck, Daniel A. Keim:
Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition. IEEE Computer Graphics and Applications 39(5): 60-71 (2019) - [j140]Daniel Seebacher, Matthias Miller, Tom Polk, Johannes Fuchs, Daniel A. Keim:
Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands. IEEE Computer Graphics and Applications 39(5): 83-95 (2019) - [j139]Marco Angelini, Juri Buchmüller, Daniel A. Keim, Philipp Meschenmoser, Giuseppe Santucci:
SurgeryCuts: Embedding Additional Information in Maps without Occluding Features. Comput. Graph. Forum 38(3): 237-247 (2019) - [j138]Juri Buchmüller, Dominik Jäckle, Eren Cakmak, Ulrik Brandes, Daniel A. Keim:
MotionRugs: Visualizing Collective Trends in Space and Time. IEEE Trans. Vis. Comput. Graph. 25(1): 76-86 (2019) - [j137]Mennatallah El-Assady, Fabian Sperrle, Oliver Deussen, Daniel A. Keim, Christopher Collins:
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution. IEEE Trans. Vis. Comput. Graph. 25(1): 374-384 (2019) - [j136]Dominik Sacha, Matthias Kraus, Daniel A. Keim, Min Chen:
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning. IEEE Trans. Vis. Comput. Graph. 25(1): 385-395 (2019) - [j135]Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim:
Bridging Text Visualization and Mining: A Task-Driven Survey. IEEE Trans. Vis. Comput. Graph. 25(7): 2482-2504 (2019) - [j134]Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim:
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. 25(10): 3011-3031 (2019) - [c267]Mennatallah El-Assady, Wolfgang Jentner, Fabian Sperrle, Rita Sevastjanova, Annette Hautli-Janisz, Miriam Butt, Daniel A. Keim:
lingvis.io - A Linguistic Visual Analytics Framework. ACL (3) 2019: 13-18 - [c266]Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt:
Visualizing Linguistic Change as Dimension Interactions. LChange@ACL 2019: 272-278 - [c265]Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim:
EduClust - A Visualization Application for Teaching Clustering Algorithms. Eurographics (Education Papers) 2019: 9-16 - [c264]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Visualization of Clusters in Graphs. GD 2019: 125-138 - [c263]Matthias Kraus, Niklas Weiler, Thorsten Breitkreutz, Daniel A. Keim, Manuel Stein:
Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World. VISIGRAPP (3: IVAPP) 2019: 19-27 - [c262]Matthias Kraus, Matthias Miller, Juri Buchmüller, Manuel Stein, Niklas Weiler, Daniel A. Keim, Mennatallah El-Assady:
Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization Pipeline. VISIGRAPP (Revised Selected Papers) 2019: 253-284 - [c261]Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards A Rigorous Evaluation Of XAI Methods On Time Series. ICCV Workshops 2019: 4197-4201 - [c260]Thomas Pollok, Matthias Kraus, Chengchao Qu, Matthias Miller, Tobias Moritz, Timon Urs Kilian, Daniel A. Keim, Wolfgang Jentner:
Computer vision meets visual analytics: Enabling 4D crime scene investigation from image and video data. ICDP 2019: 44-49 - [c259]Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model. VAST 2019: 120-121 - [c258]Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. VAST 2019: 136-137 - [c257]Fabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data. VAST 2019: 140-141 - [c256]Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita:
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. INNSBDDL 2019: 206-215 - [c255]Maximilian T. Fischer, Daniel A. Keim, Manuel Stein:
Video-based Analysis of Soccer Matches. MMSports@MM 2019: 1-9 - [c254]Manuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim:
From Movement to Events: Improving Soccer Match Annotations. MMM (1) 2019: 130-142 - [c253]Philipp Meschenmoser, Juri Buchmüller, Daniel A. Keim:
Regulation-Oriented Filtering in Web-Based Air Traffic Exploration. OpenSky 2019: 144-155 - [c252]Juri Buchmüller, Eren Cakmak, Natalia V. Andrienko, Gennady L. Andrienko, Jolle W. Jolles, Daniel A. Keim:
Moving Together: Towards a Formalization of Collective Movement. EuroVA@EuroVis 2019: 37-41 - [c251]Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. EuroVA@EuroVis 2019: 83-87 - [c250]Matthias Kraus, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Johannes Fuchs:
Comparative Analysis with Heightmaps in Virtual Reality Environments. EuroVis (Posters) 2019: 97-99 - [c249]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 - [e9]Remco Chang, Daniel A. Keim, Ross Maciejewski:
14th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2019, Vancouver, BC, Canada, October 20-25, 2019. IEEE 2019, ISBN 978-1-7281-2284-7 [contents] - [i20]Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen:
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. CoRR abs/1908.00475 (2019) - [i19]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) - [i18]Fabian Sperrle, Jürgen Bernard, Michael Sedlmair, Daniel A. Keim, Mennatallah El-Assady:
Speculative Execution for Guided Visual Analytics. CoRR abs/1908.02627 (2019) - [i17]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Visualization of Clusters in Graphs. CoRR abs/1908.07792 (2019) - [i16]Matthias Miller, Hanna Schäfer, Matthias Kraus, Marc Leman, Daniel A. Keim, Mennatallah El-Assady:
Framing Visual Musicology through Methodology Transfer. CoRR abs/1908.10411 (2019) - [i15]Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards a Rigorous Evaluation of XAI Methods on Time Series. CoRR abs/1909.07082 (2019) - [i14]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Symmetric Graph Drawings. CoRR abs/1910.04974 (2019) - 2018
- [j133]