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2014
F. Stoffel and F. Fischer.
Using a Knowledge Graph Data Structure to Analyze Text Documents.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 MC1), DOI: 10.1109/VAST.2014.7042551, 2014.
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J. Bernard, D. Daberkow, D. Fellner, K. Fischer, O. Koepler, J. Kohlhammer, M. Runnwerth, T. Ruppert, T. Schreck and I. Sens.
VisInfo: a digital library system for time series research data based on exploratory search - a user-centered design approach.
International Journal on Digital Libraries (Published online first), Springer, 2014.
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M. Behrisch, L. Shao, B. C. Kwon, T. Schreck, I. Sipiran and D. A. Keim.
Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix.
Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014.
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J. Bernard, D. Sessler, M. Behrisch, M. Hutter, T. Schreck and J. Kohlhammer.
Towards a User-Defined Visual-Interactive Definition of Similarity Functions for Mixed Data.
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, pages 227-228, DOI: 10.1109/VAST.2014.7042503, 2014.
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F. Fischer and F. Stoffel.
NStreamAware: Real-Time Visual Analytics for Data Streams (VAST Challenge 2014).
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 MC3), DOI: 10.1109/VAST.2014.7042572, 2014.
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F. Fischer, F. Stoffel, S. Mittelstädt, T. Schreck and D. A. Keim.
Using Visual Analytics to Support Decision Making to Solve the Kronos Incident.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 GC), DOI: 10.1109/VAST.2014.7042537, 2014.
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J. Fuchs, P. Isenberg, A. Bezerianos, F. Fischer and E. Bertini.
The Influence of Contour on Similarity Perception of Star Glyphs.
Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE, 20():2251 - 2260, DOI: 10.1109/TVCG.2014.2346426, 2014.
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B. C. Kwon, F. Stoffel, D. Jäckle, B. Lee and D. A. Keim.
VisJockey: Enriching Data Stories through Orchestrated Visualization.
Computation+Journalism, 2014.
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S. Biasotti, I. Pratikakis, U. Castellani and T. Schreck.
Preface to Special Issue on EG Workshop on 3D Object Retrieval 2013.
Springer Visual Computer, 2014.
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D. Perez, L. Zhang, M. Schaefer, T. Schreck, D. A. Keim and I. Diaz.
Interactive Feature Space Extension for Multidimensional Data Projection.
Neurocomputing, 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, Q Chen, N Chowdhury, B Fang, H Fu, T Furuya, H. Li, J Liu, H Johan, R Kosaka, H Koyanagi, R Ohbuchi, A Tatsuma, Y. Wan, C. Zhang and C Zou.
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries.
Elsevier Computer Vision and Image Understanding, DOI: http://dx.doi.org/10.1016/j.cviu.2014.10.006, 2014.
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D. Sacha, H. Senaratne, B. C. Kwon and D. A. Keim.
Uncertainty Propagation and Trust Building in Visual Analytics.
Accepted at IEEE VIS 2014 - Provenance for Sensemaking Workshop (poster paper), 2014.
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H. Senaratne, A. Broering, T. Schreck and D. Lehle.
Moving on Twitter: Using Episodic Hotspot and Drift Analysis to Detect and Characterise Spatial Trajectories.
In Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks. (best student paper award) ACM, 2014.
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M. El-Assady, W. Jentner, M. Stein, F. Fischer, T. Schreck and D. A. Keim.
Predictive Visual Analytics – Approaches for Movie Ratings and Discussion of Open Research Challenges.
Proceedings of the IEEE VIS 2014 Workshop Visualization for Predictive Analytics, 2014.
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F. Fischer and D. A. Keim.
NStreamAware: Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness.
Proceedings of the Eleventh Workshop on Visualization for Cyber Security, DOI: 10.1145/2671491.2671495, 2014.
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L. Shao, M. Behrisch, T. Schreck, I. Sipiran, B. C. Kwon and D. A. Keim.
Identifying Locally Interesting Motifs for Exploration of Scatter Plot Matrices.
Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014.
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C. Schätzle, D. Sacha and M. Butt.
Diachronic Visualization of Oblique Subjects in Icelandic.
Workshop Poster: Big Data Visual Computing – Quantitative Perspectives for Visual Computing, 2014.
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H. Suominen, T. Schreck, G. Leroy, H. Hochheiser, L. Goeuriot, L. Kelly, D. Mowery, J. Nualart, G. Ferraro and D. A. Keim.
Task 1 of the CLEF eHealth Evaluation Lab 2014: Visual-Interactive Search and Exploration of eHealth Data.
CLEF 2014 Working Notes, CEUR Workshop Proceedings, 2014.
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L. Kelly, L. Goeuriot, H. Suominen, T. Schreck, G. Leroy, D. Mowery, S. Velupillai, W. Chapman, D. Martinez, G. Zuccon and J. Palotti.
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014.
Proc. Conference and Labs of the Evaluation Forum (CLEF), Springer, 2014.
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R. Gregor, I. Sipiran, G. Papaioannou, T. Schreck, A. Andreadis and P. Mavridis.
Towards Automated 3D Reconstruction of Cultural Heritage Objects.
Proc. EUROGRAPHICS Workshop on Graphics and Cultural Heritage, DOI: 10.2312/gch.20141311, 2014.
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I. Sipiran, R. Gregor and T. Schreck.
Approximate Symmetry Detection in Partial 3D Meshes.
Computer Graphics Forum, 33(7):131-140, DOI: 10.1111/cgf.12481, 2014.
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S. Mittelstädt, A. Stoffel, T. Schreck and D. A. Keim.
Analysis of Local Data Patterns by Local Adaptive Color Mapping.
Presented at IEEE Information Visualization (InfoVis 2014, Poster Paper), 2014.
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H. Senaratne, S. Mittelstädt, C. Jacob and T. Schreck.
Uncertainty Visualization for Crisis Management in Smart Grid Environments.
Eighth International Conference on Geographic Information Science (GIScience 2014) - Workshop on Visually Supported Reasoning with Uncertainty, 2014.
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H. Janetzko, D. Jäckle and T. Schreck.
Geo-Temporal Visual Analysis of Customer Feedback Data Based on Self-Organizing Sentiment Maps.
International Journal On Advances in Intelligent Systems, International Academy, Research, and Industry Association (IARIA), 7(1 and 2):237--246, 2014.
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F. Wanner, A. Stoffel, D. Jäckle, B. C. Kwon, A. Weiler and D. A. Keim.
State-of-the-Art Report of Visual Analysis for Event Detection in Text Data Streams.
EuroVis - STARs, Eurographics Association, pages 125-139, DOI: 10.2312/eurovisstar.20141176, 2014.
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D. Sacha, A. Stoffel, F. Stoffel, B. C. Kwon, G. Ellis and D. A. Keim.
Knowledge Generation Model for Visual Analytics.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2014), 20(12):1604 - 1613 , DOI: 10.1109/TVCG.2014.2346481, 2014.
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H. Janetzko, D. Sacha, M. Stein, T. Schreck, D. A. Keim and O. Deussen.
Feature-Driven Visual Analytics of Soccer Data.
Proceedings of the 2014 IEEE Symposium on Visual Analytics Science and Technology (VAST '14), DOI: 10.1109/VAST.2014.7042477, 2014.
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M. Behrisch, F. Korkmaz, L. Shao and T. Schreck.
Feedback-Driven Interactive Exploration of Large Multidimensional Data Supported by Visual Classifier.
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, IEEE CS Press, pages 43-52, DOI: 10.1109/VAST.2014.7042480, 2014.
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J. C. Roberts, D. A. Keim, T. Hanratty, R. R. Rowlingson, R. Walker, M. Hall, Z. Jacobson, V. Lavigne, C. Rooney and M. Varga.
From Ill-Defined Problems to Informed Decisions.
EuroVis Workshop on Visual Analytics (2014), 2014.
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I. Sipiran, R. Meruane, B. Bustos, T. Schreck, B Li, Y. Lu and H Johan.
A benchmark of simulated range images for partial shape retrieval.
The Visual Computer, Springer, 30(11):1293-1308, DOI: 10.1007/s00371-014-0937-2, 2014.
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F. Fischer, J. Davey, J. Fuchs, O. Thonnard, J. Kohlhammer and D. A. Keim.
A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications.
Proc. EuroVA International Workshop on Visual Analytics, DOI: 10.2312/eurova.20141144, 2014.
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F. Stoffel, D. Jäckle and D. A. Keim.
Enhanced News-reading: Interactive and Visual Integration of Social Media Information.
LREC 2014 Workshop VisLR: Visualization as added value in the development, use and evaluation of Language Resources, 2014.
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R. Landstorfer, S. Simon, S. Schober, D. A. Keim, S. Scherer and K. Neuhaus.
Comparison of strand-specific transcriptomes of enterohemorrhagic Escherichia coli O157:H7 EDL933 (EHEC) under eleven different environmental conditions including radish sprouts and cattle feces.
BMC Genomics, 15(1):353, DOI: 10.1186/1471-2164-15-353, 2014.
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S. Mittelstädt, J. Bernard, T. Schreck, M. Steiger, J. Kohlhammer and D. A. Keim.
Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis.
In Proceedings of the Eurographics Conference on Visualization (EuroVis 2014, Short Paper), The Eurographics Association, pages 91-95, DOI: 10.2312/eurovisshort.20141163, 2014.
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M. Steiger, J. Bernard, S. Mittelstädt, H. Lücke-Tieke, D. A. Keim, T. May and J. Kohlhammer.
Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks.
Computer Graphics Forum, 33(3):401-410, DOI: 10.1111/cgf.12396, 2014.
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R. Chang, D. Ebert and D. A. Keim.
Introduction to the Special Issue on Interactive Computational Visual Analytics.
ACM TIIS Journal, 2014.
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M. Butt, T. Bögel, K. Kotcheva, C. Schätzle, C. Rohrdantz, D. Sacha, N. Dehe and D. A. Keim.
V1 in Icelandic: A multifactorical visualization of historical data.
Proceedings of the LREC 2014 Workshop VisLR: Visualization as added value in the development, use and evaluation of Language Resources, pages 33-40, 2014.
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D. Oelke, H. Strobelt, C. Rohrdantz, I. Gurevych and O. Deussen.
Comparative Exploration of Document Collections: a Visual Analytics Approach.
Computer Graphics Forum, John Wiley & Sons, Ltd, 33(3):201-210, DOI: 10.1111/cgf.12376, 2014.
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L. Shao, M. Behrisch, T. Schreck, T. von Landesberger, M. Scherer, S. Bremm and D. A. Keim.
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces.
Proc. EuroVA International Workshop on Visual Analytics, The Eurographics Association, DOI: 10.2312/eurova.20141140, 2014.
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M. Behrisch, J. Davey, F. Fischer, O. Thonnard, T. Schreck, D. A. Keim and J. Kohlhammer.
Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom.
Eurographics Conference on Visualization (EuroVis 2014), The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd., pages 411--420, DOI: 10.1111/cgf.12397, 2014.
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S. Mittelstädt, A. Stoffel and D. A. Keim.
Methods for Compensating Contrast Effects in Information Visualization.
Computer Graphics Forum, 33(3):231-240, DOI: 10.1111/cgf.12379, 2014.
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S. Mittelstädt, M. C. Hao, U. Dayal, M. Hsu, J. Terdiman and D. A. Keim.
Advanced Visual Analytics Interfaces for Adverse Drug Event Detection.
In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI 2014), ACM, DOI: 10.1145/2598153.2598156, 2014.
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T. Mayer, B. Wälchli, M. Hund and C. Rohrdantz.
From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets.
Language Processing and Grammars. The role of functionally oriented computational models, John Benjamins, DOI: 10.1075/slcs.150.02may, 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, H Fu, T Furuya, H Johan, J Liu, R Ohbuchi, A Tatsuma and C Zou.
SHREC’14 track: Extended large scale sketch-based 3d shape retrieval.
Proc. EG Workshop on 3D Object Retrieval, 2014 (to appear), 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, Q Chen, N Chowdhury, B Fang, T Furuya, H Johan, R Kosaka, H Koyanagi, R Ohbuchi and A Tatsuma.
SHREC’14 track: Comprehensive 3d shape retrieval.
Proc. EG Workshop on 3D Object Retrieval (to appear), 2014.
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S. Yoon, G Yoon and T. Schreck.
User-drawn sketch-based 3D object retrieval using sparse coding.
Springer Multimedia Tools and Applications, 2014.
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B Li, Y. Lu, A. Godil, T. Schreck, B. Bustos, A. Ferreira, T Furuya, M Fonseca, H Johan, T Matsuda, R Ohbuchi, P Pascoal and J. Saavedra.
A comparison of methods for sketch-based 3D shape retrieval.
Elsevier Computer Vision and Image Understanding, DOI: 10.1016/j.cviu.2013.11.008, 2014.
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C. Rohrdantz.
Visual Analytics of Change in Natural Language.
2014.
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F. Wanner, T. Schreck, W. Jentner, L. Sharalieva and D. A. Keim.
Relating interesting quantitative time series patterns with text events and text features (Best Paper Award).
IS&T/SPIE Electronic Imaging, pages 90170G--90170G, DOI: 10.1117/12.2039639, 2014.
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J. Fuchs, R. Rädle, D. Sacha, F. Fischer and A. Stoffel.
Collaborative Data Analysis with Smart Tangible Devices.
SPIE 2013 Conference on Visualization and Data Analysis, IS&T/SPIE, pages 90170C, DOI: 10.1117/12.2040011, 2014.
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F. Benites, S. Simon and E. Sapozhnikova.
Mining Rare Associations between Biological Ontologies .
PLoS ONE, Public Library of Science, 9(1):e84475, DOI: 10.1371/journal.pone.0084475, 2014.
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H. Janetzko, D. Jäckle, O. Deussen and D. A. Keim.
Visual Abstraction of Complex Motion Patterns.
SPIE 2014 Conference on Visualization and Data Analysis (VDA 2014), Best Paper Award, IS&T/SPIE, pages 90170J-0-90170J-12, 2014.
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H. Janetzko, F. Stoffel, S. Mittelstädt and D. A. Keim.
Anomaly Detection for Visual Analytics of Power Consumption Data.
Computer & Graphics, Elsevier, 38(0):27-37, DOI: 10.1016/j.cag.2013.10.006, 2014.
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L. Fellner, N. Bechtel, M. A. Witting, S. Simon, P. Schmitt-Kopplin, D. A. Keim, S. Scherer and K. Neuhaus.
Phenotype of htgA (mbiA), a recently evolved orphan gene of Escherichia coli and Shigella, completely overlapping in antisense to yaaW.
FEMS Microbiology Letters, 350(1):57--64, DOI: 10.1111/1574-6968.12288, 2014.
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C. Rohrdantz, F. Mansmann, C. North and D. A. Keim.
Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls.
Information Visualization, SAGE, 13(4):313-325, DOI: 10.1177/1473871613481693, 2014.
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