-
1
-
-
84909592940
-
Visual methods for analyzing probabilistic classification data
-
B. Alsallakh, A. Hanbury, H. Hauser, S. Miksch, and A. Rauber. Visual methods for analyzing probabilistic classification data. IEEE Transac-tions on Visualization and Computer Graphics, 20(12):1703-1712, 2014.
-
(2014)
IEEE Transac-tions on Visualization and Computer Graphics
, vol.20
, Issue.12
, pp. 1703-1712
-
-
Alsallakh, B.1
Hanbury, A.2
Hauser, H.3
Miksch, S.4
Rauber, A.5
-
4
-
-
0000064536
-
Visual classification: An interactive approach to decision tree construction
-
M. Ankerst, C. Elsen, M. Ester, and H.-P. Kriegel. Visual classification: An interactive approach to decision tree construction. In Proc. 5th ACM SIGKDD, pages 392-396, 1999.
-
(1999)
Proc. 5th ACM SIGKDD
, pp. 392-396
-
-
Ankerst, M.1
Elsen, C.2
Ester, M.3
Kriegel, H.-P.4
-
5
-
-
84921646188
-
Visualization-based active learning for the annotation of SAR images
-
M. Babaee, S. Tsoukalas, G. Rigoll, and M. Datcu. Visualization-based active learning for the annotation of SAR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(10):4687-4698, 2015.
-
(2015)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
, vol.8
, Issue.10
, pp. 4687-4698
-
-
Babaee, M.1
Tsoukalas, S.2
Rigoll, G.3
Datcu, M.4
-
6
-
-
43049174575
-
Speeded up robust features (SURF)
-
H. Bay, T. Tuytelaars, and L. Van Gool. Speeded up robust features (SURF). Computer Vision and Image Understanding, 110(3):346-359, 2008.
-
(2008)
Computer Vision and Image Understanding
, vol.110
, Issue.3
, pp. 346-359
-
-
Bay, H.1
Tuytelaars, T.2
Van Gool, L.3
-
8
-
-
0003802343
-
-
Chapman & Hall, New York
-
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Chapman & Hall, New York, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
9
-
-
84954180053
-
In-telligible models for health care: Predicting pneumonia risk and hospital 30-day readmission
-
R. Caruana, Y. Lou, J. Gehrke, P. Koch, M. Sturm, and N. Elhadad. In-telligible models for health care: Predicting pneumonia risk and hospital 30-day readmission. In Proc. 21th ACM SIGKDD, pages 1721-1730, 2015.
-
(2015)
Proc. 21th ACM SIGKDD
, pp. 1721-1730
-
-
Caruana, R.1
Lou, Y.2
Gehrke, J.3
Koch, P.4
Sturm, M.5
Elhadad, N.6
-
15
-
-
84999208152
-
Toward complexity measures for systems involving human computation
-
R. J. Crouser, B. Hescott, and R. Chang. Toward complexity measures for systems involving human computation. Human Computation, 1(1):4565, 2014.
-
(2014)
Human Computation
, vol.1
, Issue.1
, pp. 4565
-
-
Crouser, R.J.1
Hescott, B.2
Chang, R.3
-
16
-
-
24644524200
-
Visual categorization with bags of keypoints
-
G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In Proc. Workshop on Statistical Learning in Computer Vision, pages 1-22, 2004.
-
(2004)
Proc. Workshop on Statistical Learning in Computer Vision
, pp. 1-22
-
-
Csurka, G.1
Dance, C.R.2
Fan, L.3
Willamowski, J.4
Bray, C.5
-
17
-
-
84867539048
-
A few useful things to know about machine learning
-
Oct.
-
P. Domingos. A few useful things to know about machine learning. Com-munications of the ACM, 55(10):78-87, Oct. 2012.
-
(2012)
Com-munications of the ACM
, vol.55
, Issue.10
, pp. 78-87
-
-
Domingos, P.1
-
18
-
-
51249169196
-
What artificial experts can and cannot do
-
H. L. Dreyfus and S. E. Dreyfus. What artificial experts can and cannot do. AI & Society, 6(1):18-26, 1992.
-
(1992)
AI & Society
, vol.6
, Issue.1
, pp. 18-26
-
-
Dreyfus, H.L.1
Dreyfus, S.E.2
-
20
-
-
84888348216
-
Facial expression recogni-tion in dynamic sequences: An integrated approach
-
H. Fang, N. M. Parthaláin, A. J. Aubrey, G. K. L. Tam, R. Borgo, P. L. Rosin, P.W. Grant, D. Marshall, and M. Chen. Facial expression recogni-tion in dynamic sequences: An integrated approach. Pattern Recognition, 47(3):1271-1281, 2014.
-
(2014)
Pattern Recognition
, vol.47
, Issue.3
, pp. 1271-1281
-
-
Fang, H.1
Parthaláin, N.M.2
Aubrey, A.J.3
Tam, G.K.L.4
Borgo, R.5
Rosin, P.L.6
Grant, P.W.7
Marshall, D.8
Chen, M.9
-
21
-
-
84877877942
-
Visual-izing natural image statistics
-
H. Fang, G. K. L. Tam, R. Borgo, A. J. Aubrey, P. W. Grant, P. L. Rosin, C. Wallraven, D. W. Cunningham, D. Marshall, and M. Chen. Visual-izing natural image statistics. IEEE Transactions on Visualization and Computer Graphics, 19(7):1228-1241, 2013.
-
(2013)
IEEE Transactions on Visualization and Computer Graphics
, vol.19
, Issue.7
, pp. 1228-1241
-
-
Fang, H.1
Tam, G.K.L.2
Borgo, R.3
Aubrey, A.J.4
Grant, P.W.5
Rosin, P.L.6
Wallraven, C.7
Cunningham, D.W.8
Marshall, D.9
Chen, M.10
-
22
-
-
58149287952
-
An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons
-
S. García and F. Herrera. An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons. Journal of Machine Learning Research, 9:2677-2694, 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 2677-2694
-
-
García, S.1
Herrera, F.2
-
23
-
-
0000943745
-
Lower bounds on learning decision lists and trees
-
T. Hancock, T. Jiang, M. Li, and J. Tromp. Lower bounds on learning decision lists and trees. Information and Computation, 126(2):114-122, 1996.
-
(1996)
Information and Computation
, vol.126
, Issue.2
, pp. 114-122
-
-
Hancock, T.1
Jiang, T.2
Li, M.3
Tromp, J.4
-
24
-
-
0000679216
-
Distributional structure
-
Z. S. Harris. Distributional structure. Word, 10(23):146162, 1954.
-
(1954)
Word
, vol.10
, Issue.23
, pp. 146162
-
-
Harris, Z.S.1
-
25
-
-
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 Proc. IEEE Conference on Visual Analytics Science and Technology, pages 23-32, 2012.
-
(2012)
Proc. IEEE Conference on Visual Analytics Science and Technology
, pp. 23-32
-
-
Höferlin, B.1
Netzel, R.2
Höferlin, M.3
Weiskopf, D.4
Heidemann, G.5
-
26
-
-
0001815269
-
Constructing optimal binary decision trees is np-complete
-
L. Hyafil and R. L. Rivest. Constructing optimal binary decision trees is np-complete. Information Processing Letters, 5(1):15-17, 1976.
-
(1976)
Information Processing Letters
, vol.5
, Issue.1
, pp. 15-17
-
-
Hyafil, L.1
Rivest, R.L.2
-
28
-
-
77953996903
-
Interactive optimization for steering machine classification
-
A. Kapoor, B. Lee, D. Tan, and E. Horvitz. Interactive optimization for steering machine classification. In Proc. SIGCHI Conference on Human Factors in Computing Systems, pages 1343-1352, 2010.
-
(2010)
Proc. SIGCHI Conference on Human Factors in Computing Systems
, pp. 1343-1352
-
-
Kapoor, A.1
Lee, B.2
Tan, D.3
Horvitz, E.4
-
30
-
-
84947076792
-
Interaxis: Steering scatterplot axes via observation-level interaction
-
Jan
-
H. Kim, J. Choo, H. Park, and A. Endert. Interaxis: Steering scatterplot axes via observation-level interaction. IEEE Transactions on Visualization and Computer Graphics, 22(1):131-140, Jan 2016.
-
(2016)
IEEE Transactions on Visualization and Computer Graphics
, vol.22
, Issue.1
, pp. 131-140
-
-
Kim, H.1
Choo, J.2
Park, H.3
Endert, A.4
-
31
-
-
36749047332
-
Supervised machine learning: A review of classification techniques
-
S. B. Kotsiantis. Supervised machine learning: a review of classification techniques. Informatica, 31(3):249-268, 2007.
-
(2007)
Informatica
, vol.31
, Issue.3
, pp. 249-268
-
-
Kotsiantis, S.B.1
-
33
-
-
84886680981
-
Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop
-
P. A. Legg, D. H. S. Chung, M. L. Parry, R. Bown, M. W. Jones, I. W. Griffiths, and M. Chen. Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop. IEEE Transactions on Visualization and Computer Graphics, 19(12):2109-2118, 2013.
-
(2013)
IEEE Transactions on Visualization and Computer Graphics
, vol.19
, Issue.12
, pp. 2109-2118
-
-
Legg, P.A.1
Chung, D.H.S.2
Parry, M.L.3
Bown, R.4
Jones, M.W.5
Griffiths, I.W.6
Chen, M.7
-
35
-
-
84946616158
-
Visual analytics for development and evaluation of order selection criteria for autoregressive processes
-
T. Löwe, E. C. Förster, G. Albuquerque, J. P. Kreiss, and M. Magnor. Visual analytics for development and evaluation of order selection criteria for autoregressive processes. IEEE Transactions on Visualization and Computer Graphics, 22(1):151-159, 2016.
-
(2016)
IEEE Transactions on Visualization and Computer Graphics
, vol.22
, Issue.1
, pp. 151-159
-
-
Löwe, T.1
Förster, E.C.2
Albuquerque, G.3
Kreiss, J.P.4
Magnor, M.5
-
36
-
-
84855769219
-
Guiding feature subset selection with an interactive visualization
-
T. May, A. Bannach, J. Davey, T. Ruppert, and J. Kohlhammer. Guiding feature subset selection with an interactive visualization. In Proc. IEEE Conference on Visual Analytics Science and Technology, pages 111-120, 2011.
-
(2011)
Proc. IEEE Conference on Visual Analytics Science and Technology
, pp. 111-120
-
-
May, T.1
Bannach, A.2
Davey, J.3
Ruppert, T.4
Kohlhammer, J.5
-
39
-
-
0003840341
-
Columbia object image library (coil-100), cucs-006-96
-
Columbia University
-
S. A. Nene, S. K. Nayar, and H. Murase. Columbia object image library (coil-100), cucs-006-96. Technical report, Columbia University, 1996.
-
(1996)
Technical Report
-
-
Nene, S.A.1
Nayar, S.K.2
Murase, H.3
-
41
-
-
33744584654
-
Induction of decision trees
-
J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
-
(1986)
Machine Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
43
-
-
84962803688
-
Supporting activity recognition by visual analytics
-
M. Röhlig, M. Luboschik, F. Krüger, T. Kirste, H. Schumann, M. Bögl, B. Alsallakh, and S. Miksch. Supporting activity recognition by visual analytics. In Proc. IEEE Conference on Visual Analytics Science and Technology, pages 41-48, 2015.
-
(2015)
Proc. IEEE Conference on Visual Analytics Science and Technology
, pp. 41-48
-
-
Röhlig, M.1
Luboschik, M.2
Krüger, F.3
Kirste, T.4
Schumann, H.5
Bögl, M.6
Alsallakh, B.7
Miksch, S.8
-
44
-
-
84994116585
-
Human-centered machine learning through interactive visualization: Review and open challenges
-
D. Sacha, M. Sedlmair, L. Zhang, J. A. Lee, D. Weiskopf, S. C. North, and D. A. Keim. Human-centered machine learning through interactive visualization: Review and open challenges. In Proc. 24th European Sym-posium on Artificial Neural Networks, 2016.
-
(2016)
Proc. 24th European Sym-posium on Artificial Neural Networks
-
-
Sacha, D.1
Sedlmair, M.2
Zhang, L.3
Lee, J.A.4
Weiskopf, D.5
North, S.C.6
Keim, D.A.7
-
45
-
-
84940644968
-
A mathematical theory of communication
-
C. E. Shannon. A mathematical theory of communication. Bell System Technical Journal, 27:379-423, 1948.
-
(1948)
Bell System Technical Journal
, vol.27
, pp. 379-423
-
-
Shannon, C.E.1
-
46
-
-
65649138430
-
A systematic analysis of performance mea-sures for classification tasks
-
M. Sokolova and G. Lapalme. A systematic analysis of performance mea-sures for classification tasks. Information Processing and Management, 45(4):427-437, 2009.
-
(2009)
Information Processing and Management
, vol.45
, Issue.4
, pp. 427-437
-
-
Sokolova, M.1
Lapalme, G.2
-
47
-
-
84870938561
-
Visualization of time-series data in parameter space for understanding facial dynamics
-
G. K. L. Tam, H. Fang, A. J. Aubrey, P. W. Grant, P. L. Rosin, D. Mar-shall, and M. Chen. Visualization of time-series data in parameter space for understanding facial dynamics. Computer Graphics Forum, 30(3):901-910, 2011.
-
(2011)
Computer Graphics Forum
, vol.30
, Issue.3
, pp. 901-910
-
-
Tam, G.K.L.1
Fang, H.2
Aubrey, A.J.3
Grant, P.W.4
Rosin, P.L.5
Mar-Shall, D.6
Chen, M.7
-
50
-
-
84970002232
-
Show, attend and tell: Neural image caption gen-eration with visual attention
-
K. Xu, J. L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudinov, R. S. Zemel, and Y. Bengio. Show, attend and tell: Neural image caption gen-eration with visual attention. In Proc. 32nd International Conference on Machine Learning, pages 2048-2057, 2015.
-
(2015)
Proc. 32nd International Conference on Machine Learning
, pp. 2048-2057
-
-
Xu, K.1
Ba, J.L.2
Kiros, R.3
Cho, K.4
Courville, A.5
Salakhudinov, R.6
Zemel, R.S.7
Bengio, Y.8
-
51
-
-
84959091021
-
Understand-ing neural networks through deep visualization
-
J. Yosinski, J. Clune, A. Nguyen, T. Fuchs, and H. Lipson. Understand-ing neural networks through deep visualization. In Proc. Deep Learning Workshop, 32nd International Conference on Machine Learning, 2015.
-
(2015)
Proc. Deep Learning Workshop, 32nd International Conference on Machine Learning
-
-
Yosinski, J.1
Clune, J.2
Nguyen, A.3
Fuchs, T.4
Lipson, H.5
|