-
1
-
-
84997517058
-
A visual analytics approach to segmenting and labeling multivariate time series data
-
M. Pohl and J. C. Roberts, editors, Eurographics, Eurographics
-
B. Alsallakh, M. Bögl, T. Gschwandtner, S. Miksch, B. Esmael, A. Arnaout, G. Thonhauser, and P. Zöllner. A visual analytics approach to segmenting and labeling multivariate time series data. In M. Pohl and J. C. Roberts, editors, EuroVis Workshop on Visual Analytics (EuroVA), pages 31-35. Eurographics, Eurographics, 2014.
-
(2014)
EuroVis Workshop on Visual Analytics (EuroVA)
, pp. 31-35
-
-
Alsallakh, B.1
Bögl, M.2
Gschwandtner, T.3
Miksch, S.4
Esmael, B.5
Arnaout, A.6
Thonhauser, G.7
Zöllner, P.8
-
2
-
-
4544383184
-
Connecting time-oriented data and information to a coherent interactive visualization
-
New York, NY, USA, ACM
-
R. Bade, S. Schlechtweg, and S. Miksch. Connecting time-oriented data and information to a coherent interactive visualization. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 105-112, New York, NY, USA, 2004. ACM.
-
(2004)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
, pp. 105-112
-
-
Bade, R.1
Schlechtweg, S.2
Miksch, S.3
-
3
-
-
84929454424
-
Feedback-driven interactive exploration of large multidimensional data supported by visual classifier
-
M. Behrisch, F. Korkmaz, L. Shao, and T. Schreck. Feedback-driven interactive exploration of large multidimensional data supported by visual classifier. In Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, pages 43-52, 2014.
-
(2014)
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
, pp. 43-52
-
-
Behrisch, M.1
Korkmaz, F.2
Shao, L.3
Schreck, T.4
-
4
-
-
84904411639
-
Visual-interactive preprocessing of time series data
-
A. Kerren and S. Seipel, editors, of Linköping Electronic Conference Proceedings, Linköping University Electronic Press
-
J. Bernard, T. Ruppert, O. Goroll, T. May, and J. Kohlhammer. Visual-interactive preprocessing of time series data. In A. Kerren and S. Seipel, editors, SIGRAD, volume 81 of Linköping Electronic Conference Proceedings, pages 39-48. Linköping University Electronic Press, 2012.
-
(2012)
SIGRAD
, vol.81
, pp. 39-48
-
-
Bernard, J.1
Ruppert, T.2
Goroll, O.3
May, T.4
Kohlhammer, J.5
-
5
-
-
84930677301
-
A visual-interactive system for prostate cancer cohort analysis
-
IEEE
-
J. Bernard, D. Sessler, T. May, T. Schlomm, D. Pehrke, and J. Kohlhammer. A visual-interactive system for prostate cancer cohort analysis. Computer Graphics and Applications, IEEE, 35(3):44-55, 2015.
-
(2015)
Computer Graphics and Applications
, vol.35
, Issue.3
, pp. 44-55
-
-
Bernard, J.1
Sessler, D.2
May, T.3
Schlomm, T.4
Pehrke, D.5
Kohlhammer, J.6
-
6
-
-
84886701424
-
MotionExplorer: Exploratory search in human motion capture data based on hierarchical aggregation
-
J. Bernard, N. Wilhelm, B. Krüger, T. May, T. Schreck, and J. Kohlhammer. MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation. IEEE Transactions on Visualization and Computer Graphics, 19(12):2257-2266, 2013.
-
(2013)
IEEE Transactions on Visualization and Computer Graphics
, vol.19
, Issue.12
, pp. 2257-2266
-
-
Bernard, J.1
Wilhelm, N.2
Krüger, B.3
May, T.4
Schreck, T.5
Kohlhammer, J.6
-
7
-
-
84867441297
-
Timeseriespaths: Projection-based explorative analysis of multivariate time series data
-
J. Bernard, N. Wilhelm, M. Scherer, T. May, and T. Schreck. Timeseriespaths: Projection-based explorative analysis of multivariate time series data. Journal of WSCG, 20(2):97-106, 2012.
-
(2012)
Journal of WSCG
, vol.20
, Issue.2
, pp. 97-106
-
-
Bernard, J.1
Wilhelm, N.2
Scherer, M.3
May, T.4
Schreck, T.5
-
9
-
-
57649224033
-
Cueik: Interactive concept learning in image search
-
New York, NY, USA, ACM
-
J. Fogarty, D. Tan, A. Kapoor, and S. Winder. Cueik: Interactive concept learning in image search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 29-38, New York, NY, USA, 2008. ACM.
-
(2008)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
, pp. 29-38
-
-
Fogarty, J.1
Tan, D.2
Kapoor, A.3
Winder, S.4
-
10
-
-
84876057388
-
A survey on instance selection for active learning
-
Y. Fu, X. Zhu, and B. Li. A survey on instance selection for active learning. Knowledge and Information Systems, 35(2):249-283, 2013.
-
(2013)
Knowledge and Information Systems
, vol.35
, Issue.2
, pp. 249-283
-
-
Fu, Y.1
Zhu, X.2
Li, B.3
-
11
-
-
84865646933
-
A taxonomy of dirty time-oriented data
-
G. Quirchmayr, J. Basl, I. You, L. Xu, and E. Weippl, editors, of Lecture Notes in Computer Science, Springer
-
T. Gschwandtner, J. Gärtner, W. Aigner, and S. Miksch. A taxonomy of dirty time-oriented data. In G. Quirchmayr, J. Basl, I. You, L. Xu, and E. Weippl, editors, CD-ARES, volume 7465 of Lecture Notes in Computer Science, pages 58-72. Springer, 2012.
-
(2012)
CD-ARES
, vol.7465
, pp. 58-72
-
-
Gschwandtner, T.1
Gärtner, J.2
Aigner, W.3
Miksch, S.4
-
12
-
-
84997082164
-
Enhancing time series segmentation and labeling through the knowledge generation model
-
R. Maciejewski and F. Marton, editors, The Eurographics Association
-
T. Gschwandtner, H. Schuman, J. Bernard, T. May, M. Bögl, S. Miksch, J. Kohlhammer, M. Röhlig, and B. Alsallakh. Enhancing time series segmentation and labeling through the knowledge generation model. In R. Maciejewski and F. Marton, editors, Poster Proceedings of the Eurographics Conference on Visualization (EuroVis 2015), page 3. The Eurographics Association, 2015.
-
(2015)
Poster Proceedings of the Eurographics Conference on Visualization (EuroVis 2015)
, pp. 3
-
-
Gschwandtner, T.1
Schuman, H.2
Bernard, J.3
May, T.4
Bögl, M.5
Miksch, S.6
Kohlhammer, J.7
Röhlig, M.8
Alsallakh, B.9
-
13
-
-
72849114292
-
Model space visualization for multivariate linear trend discovery
-
IEEE Symposium on
-
Z. Guo, M. Ward, and E. Rundensteiner. Model space visualization for multivariate linear trend discovery. In Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on, pages 75-82, 2009.
-
(2009)
Visual Analytics Science and Technology, 2009. VAST 2009
, pp. 75-82
-
-
Guo, Z.1
Ward, M.2
Rundensteiner, E.3
-
14
-
-
76749092270
-
The weka data mining software: An update
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: An update. SIGKDD Explor. Newsl., 11(1):10-18, 2009.
-
(2009)
SIGKDD Explor. Newsl.
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
15
-
-
84867642215
-
Visual classifier training for text document retrieval
-
F. Heimerl, S. Koch, H. Bosch, and T. Ertl. Visual classifier training for text document retrieval. Visualization and Computer Graphics, IEEE Transactions on, 18(12):2839-2848, 2012.
-
(2012)
Visualization and Computer Graphics, IEEE Transactions on
, vol.18
, Issue.12
, pp. 2839-2848
-
-
Heimerl, F.1
Koch, S.2
Bosch, H.3
Ertl, T.4
-
16
-
-
84872965316
-
Inter-active learning of ad-hoc classifiers for video visual analytics
-
B. Höferlin, R. Netzel, M. Höferlin, D. Weiskopf, and G. Heidemann. Inter-active learning of ad-hoc classifiers for video visual analytics. In IEEE Conference on Visual Analytics Science and Technology (VAST), 2012, pages 23-32, 2012.
-
(2012)
IEEE Conference on Visual Analytics Science and Technology (VAST), 2012
, pp. 23-32
-
-
Höferlin, B.1
Netzel, R.2
Höferlin, M.3
Weiskopf, D.4
Heidemann, G.5
-
17
-
-
33745781710
-
A symbolic representation of time series, with implications for streaming algorithms
-
New York, NY, USA, ACM
-
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. A symbolic representation of time series, with implications for streaming algorithms. In Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD '03, pages 2-11, New York, NY, USA, 2003. ACM.
-
(2003)
Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD '03
, pp. 2-11
-
-
Lin, J.1
Keogh, E.2
Lonardi, S.3
Chiu, B.4
-
19
-
-
77955728762
-
HyperMoVal: Interactive visual validation of regression models for real-time simulation
-
H. Piringer, W. Berger, and J. Krasser. HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation. Computer Graphics Forum, 2010.
-
(2010)
Computer Graphics Forum
-
-
Piringer, H.1
Berger, W.2
Krasser, J.3
-
21
-
-
84949132306
-
On computationally-enhanced visual analysis of heterogeneous data and its application in biomedical informatics
-
A. Holzinger and I. Jurisica, editors, Springer Berlin Heidelberg
-
C. Turkay, F. Jeanquartier, A. Holzinger, and H. Hauser. On computationally-enhanced visual analysis of heterogeneous data and its application in biomedical informatics. In A. Holzinger and I. Jurisica, editors, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, volume 8401 of Lecture Notes in Computer Science, pages 117-140. Springer Berlin Heidelberg, 2014.
-
(2014)
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, Volume 8401 of Lecture Notes in Computer Science
, pp. 117-140
-
-
Turkay, C.1
Jeanquartier, F.2
Holzinger, A.3
Hauser, H.4
-
22
-
-
70350666862
-
Temporal summaries: Supporting temporal categorical searching, aggregation and comparison
-
T. D. Wang, C. Plaisant, B. Shneiderman, N. Spring, D. Roseman, G. Marchand, V. Mukherjee, and M. Smith. Temporal summaries: Supporting temporal categorical searching, aggregation and comparison. IEEE Transactions on Visualization and Computer Graphics, 15(6):1049-1056, 2009.
-
(2009)
IEEE Transactions on Visualization and Computer Graphics
, vol.15
, Issue.6
, pp. 1049-1056
-
-
Wang, T.D.1
Plaisant, C.2
Shneiderman, B.3
Spring, N.4
Roseman, D.5
Marchand, G.6
Mukherjee, V.7
Smith, M.8
-
23
-
-
84923884835
-
Furyexplorer: Visual-interactive exploration of horse motion capture data
-
N. Wilhelm, A. Vögele, R. Zsoldos, T. Licka, B. Krüger, and J. Bernard. Furyexplorer: visual-interactive exploration of horse motion capture data. In Proceedings of SPIE, Visualization and Data Analysis (VDA), pages 93970F-93970F-15, 2015.
-
(2015)
Proceedings of SPIE, Visualization and Data Analysis (VDA)
, pp. 93970F-93970F15
-
-
Wilhelm, N.1
Vögele, A.2
Zsoldos, R.3
Licka, T.4
Krüger, B.5
Bernard, J.6
-
25
-
-
79958158585
-
Lifeow: Visualizing an overview of event sequences
-
New York, NY, USA, ACM
-
K. Wongsuphasawat, J. A. Guerra Gómez, C. Plaisant, T. D. Wang, M. Taieb-Maimon, and B. Shneiderman. Lifeow: Visualizing an overview of event sequences. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '11, pages 1747-1756, New York, NY, USA, 2011. ACM.
-
(2011)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '11
, pp. 1747-1756
-
-
Wongsuphasawat, K.1
Guerra Gómez, J.A.2
Plaisant, C.3
Wang, T.D.4
Taieb-Maimon, M.5
Shneiderman, B.6
|