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Johannes Knittel
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Books and Theses
- 2022
- [b1]Johannes Knittel:
Large-scale analysis of textual and multivariate data combining machine learning and visualization. University of Stuttgart, Germany, 2022
Journal Articles
- 2024
- [j5]Changjian Chen, Jiashu Chen, Weikai Yang, Haoze Wang, Johannes Knittel
, Xibin Zhao, Steffen Koch
, Thomas Ertl
, Shixia Liu
:
Enhancing Single-Frame Supervision for Better Temporal Action Localization. IEEE Trans. Vis. Comput. Graph. 30(6): 2903-2915 (2024) - 2022
- [j4]Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, Thomas Ertl:
Real-Time Visual Analysis of High-Volume Social Media Posts. IEEE Trans. Vis. Comput. Graph. 28(1): 879-889 (2022) - 2021
- [j3]Tan Tang, Renzhong Li, Xinke Wu, Shuhan Liu, Johannes Knittel, Steffen Koch, Lingyun Yu, Peiran Ren, Thomas Ertl, Yingcai Wu:
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 27(2): 294-303 (2021) - [j2]Johannes Knittel, Andrés Lalama, Steffen Koch, Thomas Ertl:
Visual Neural Decomposition to Explain Multivariate Data Sets. IEEE Trans. Vis. Comput. Graph. 27(2): 1374-1384 (2021) - [j1]Johannes Knittel
, Steffen Koch
, Thomas Ertl
:
PyramidTags: Context-, Time- and Word Order-Aware Tag Maps to Explore Large Document Collections. IEEE Trans. Vis. Comput. Graph. 27(12): 4455-4468 (2021)
Conference and Workshop Papers
- 2024
- [c8]Franziska Huth
, Fabian Beck, Johannes Knittel, Shahid Latif, Steffen Koch, Thomas Ertl:
ViSCitR: Visual Summarization and Comparison of Hotel Reviews. PacificVis 2024: 112-121 - 2021
- [c7]Johannes Knittel, Steffen Koch, Thomas Ertl:
Efficient sparse spherical k-means for document clustering. DocEng 2021: 6:1-6:4 - [c6]Johannes Knittel, Steffen Koch, Thomas Ertl:
ELSKE: efficient large-scale keyphrase extraction. DocEng 2021: 9:1-9:4 - [c5]Franziska Huth
, Miriam Awad-Mohammed, Johannes Knittel
, Tanja Blascheck
, Petra Isenberg
:
Online Study of Word-Sized Visualizations in Social Media. EuroVis (Posters) 2021: 13-15 - 2019
- [c4]Johannes Knittel, Steffen Koch, Thomas Ertl:
Pattern-Based Semantic and Temporal Exploration of Social Media Messages. VAST 2019: 134-135 - [c3]Johannes Knittel, Steffen Koch, Thomas Ertl:
Interactive Hierarchical Quote Extraction for Content Insights. EuroVis (Posters) 2019: 13-15 - 2016
- [c2]Johannes Knittel, Tilman Dingler
:
Mining Subtitles for Real-Time Content Generation for Second-Screen Applications. TVX 2016: 93-103 - 2013
- [c1]Johannes Knittel, Alireza Sahami Shirazi, Niels Henze, Albrecht Schmidt
:
Utilizing contextual information for mobile communication. CHI Extended Abstracts 2013: 1371-1376
Informal and Other Publications
- 2023
- [i7]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) - [i6]Changjian Chen, Jiashu Chen, Weikai Yang, Haoze Wang, Johannes Knittel, Xibin Zhao, Steffen Koch, Thomas Ertl, Shixia Liu:
Enhancing Single-Frame Supervision for Better Temporal Action Localization. CoRR abs/2312.05178 (2023) - 2021
- [i5]Johannes Knittel, Steffen Koch, Thomas Ertl:
ELSKE: Efficient Large-Scale Keyphrase Extraction. CoRR abs/2102.05700 (2021) - [i4]Johannes Knittel, Steffen Koch, Thomas Ertl:
Efficient Sparse Spherical k-Means for Document Clustering. CoRR abs/2108.00895 (2021) - [i3]Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, Thomas Ertl:
Real-Time Visual Analysis of High-Volume Social Media Posts. CoRR abs/2108.03052 (2021) - 2020
- [i2]Tan Tang, Renzhong Li, Xinke Wu, Shuhan Liu, Johannes Knittel, Steffen Koch, Thomas Ertl, Lingyun Yu, Peiran Ren, Yingcai Wu:
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning. CoRR abs/2009.00249 (2020) - [i1]Johannes Knittel, Andrés Lalama, Steffen Koch, Thomas Ertl:
Visual Neural Decomposition to Explain Multivariate Data Sets. CoRR abs/2009.05502 (2020)
Coauthor Index
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