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2014
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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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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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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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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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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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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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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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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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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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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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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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, 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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