-
1
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1106–1114 (2012)
-
(2012)
NIPS
, pp. 1106-1114
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
2
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR (2014)
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
4
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Zeiler, Matthew D., Fergus, Rob, In: Fleet, David, Pajdla, Tomas, Schiele, Bernt, Tuytelaars, Tinne (eds.), Springer, Heidelberg
-
Zeiler, Matthew D., Fergus, Rob: Visualizing and understanding convolutional networks. In: Fleet, David, Pajdla, Tomas, Schiele, Bernt, Tuytelaars, Tinne (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 818–833. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part I. LNCS
, vol.8689
, pp. 818-833
-
-
-
5
-
-
0000089430
-
Visualizing learning and computation in artificial neural networks
-
Craven, M.W., Shavlik, J.W.: Visualizing learning and computation in artificial neural networks. Int. J. Artif. Intell. Tools 1, 399–425 (1992)
-
(1992)
Int. J. Artif. Intell. Tools
, vol.1
, pp. 399-425
-
-
Craven, M.W.1
Shavlik, J.W.2
-
7
-
-
11144273669
-
The perceptron: A probabilistic model for information storage and organization in the brain
-
Rosenblatt, F.: The perceptron: a probabilistic model for information storage and organization in the brain. Psychol. Rev. 65, 386–408 (1958)
-
(1958)
Psychol. Rev
, vol.65
, pp. 386-408
-
-
Rosenblatt, F.1
-
8
-
-
0003422388
-
-
4th edn. W.H. Freeman, New York
-
Lodish, H., Berk, A., Zipursky, S.L., Matsudaira, P., Baltimore, D., Darnell, J.: Molecular Cell Biology, 4th edn. W.H. Freeman, New York (2001)
-
(2001)
Molecular Cell Biology
-
-
Lodish, H.1
Berk, A.2
Zipursky, S.L.3
Matsudaira, P.4
Baltimore, D.5
Darnell, J.6
-
10
-
-
0022471098
-
Learning representations by backpropagating errors
-
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by backpropagating errors. Nature 323, 533–536 (1986)
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
11
-
-
77953183471
-
What is the best multistage architecture for object recognition?
-
Jarrett, K., Kavukcuoglu, K., Ranzato, M., LeCun, Y.: What is the best multistage architecture for object recognition? In: ICCV (2009)
-
(2009)
ICCV
-
-
Jarrett, K.1
Kavukcuoglu, K.2
Ranzato, M.3
Lecun, Y.4
-
12
-
-
0032203257
-
Gradient-based learning applied to document recognition. Proc
-
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86, 2278–2324 (1998)
-
(1998)
IEEE
, vol.86
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
13
-
-
77955998889
-
Convolutional networks and applications in vision
-
LeCun, Y., Kavukvuoglu, K., Farabet, C.: Convolutional networks and applications in vision. In: ISCAS, pp. 253–256 (2010)
-
(2010)
ISCAS
, pp. 253-256
-
-
Lecun, Y.1
Kavukvuoglu, K.2
Farabet, C.3
-
14
-
-
33845640864
-
Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data
-
Holten, D.: Hierarchical edge bundles: visualization of adjacency relations in hierarchical data. TVCG 12, 741–748 (2006)
-
(2006)
TVCG
, vol.12
, pp. 741-748
-
-
Holten, D.1
-
15
-
-
84909579145
-
NeuroLines: A subway map metaphor for visualizing nanoscale neuronal connectivity
-
Al-Awami, A., Beyer, J., Strobelt, H., Kasthuri, N., Lichtman, J., Pfister, H., Hadwiger, M.: NeuroLines: a subway map metaphor for visualizing nanoscale neuronal connectivity. TVCG 20, 2369–2378 (2014)
-
(2014)
TVCG
, vol.20
, pp. 2369-2378
-
-
Al-Awami, A.1
Beyer, J.2
Strobelt, H.3
Kasthuri, N.4
Lichtman, J.5
Pfister, H.6
Hadwiger, M.7
-
16
-
-
84886449423
-
Entourage: Visualizing relationships between biological pathways using contextual subsets
-
Lex, A., Partl, C., Kalkofen, D., Streit, M., Gratzl, S., Wassermann, A.M., Schmalstieg, D., Pfister, H.: Entourage: visualizing relationships between biological pathways using contextual subsets. TVCG 19, 2536–2545 (2013)
-
(2013)
TVCG
, vol.19
, pp. 2536-2545
-
-
Lex, A.1
Partl, C.2
Kalkofen, D.3
Streit, M.4
Gratzl, S.5
Wassermann, A.M.6
Schmalstieg, D.7
Pfister, H.8
-
17
-
-
77957901406
-
Search, show context, expand on demand: Supporting large graph exploration with degree-of-interest
-
Van Ham, F., Perer, A.: Search, show context, expand on demand: supporting large graph exploration with degree-of-interest. TVCG 15, 953–960 (2009)
-
(2009)
TVCG
, vol.15
, pp. 953-960
-
-
Van Ham, F.1
Perer, A.2
-
18
-
-
0029725135
-
The eyes have it: A task by data type taxonomy for information visualizations
-
Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Visual Languages, pp. 336–343 (1996)
-
(1996)
Visual Languages
, pp. 336-343
-
-
Shneiderman, B.1
-
19
-
-
0011046814
-
SNNS (Stuttgart Neural Network Simulator)
-
In: Skrzypek, J. (ed.), Springer, US
-
Zell, A., Mache, N., Hbner, R., Mamier, G., Vogt, M., Schmalzl, M., Herrmann, K.U.: SNNS (Stuttgart Neural Network Simulator). In: Skrzypek, J. (ed.) Neural Network Simulation Environments: The Kluwer International Series in Engineering and Computer Science, vol. 254, pp. 165–186. Springer, US (1994)
-
(1994)
Neural Network Simulation Environments: The Kluwer International Series in Engineering and Computer Science
, vol.254
, pp. 165-186
-
-
Zell, A.1
Mache, N.2
Hbner, R.3
Mamier, G.4
Vogt, M.5
Schmalzl, M.6
Herrmann, K.U.7
-
20
-
-
0034873670
-
N2Vis: An interactive visualization tool for neural networks
-
Streeter, M.J., Ward, M.O., Alvarez, S.A.: N2Vis: an interactive visualization tool for neural networks. In: Visual Data Exploration and Analysis VII, pp. 234–241 (2001)
-
(2001)
Visual Data Exploration and Analysis VII
, pp. 234-241
-
-
Streeter, M.J.1
Ward, M.O.2
Alvarez, S.A.3
-
21
-
-
33749837830
-
Opening the black box - Data driven visualization of neural networks
-
Tzeng, F.Y., Ma, K.L.: Opening the black box - Data driven visualization of neural networks. In: Visualization, pp. 383–390 (2005)
-
(2005)
Visualization
, pp. 383-390
-
-
Tzeng, F.Y.1
Ma, K.L.2
-
22
-
-
84952661673
-
-
Accessed on 31 Nov 2014
-
Srp, J., Stehlík, L., Suda, M., ŠaŠek, P., Zvánovcová, K.: Interactive neural network simulator (2007). http://sourceforge.net/projects/isns/. Accessed on 31 Nov 2014
-
(2007)
Interactive Neural Network Simulator
-
-
Srp, J.1
Stehlík, L.2
Suda, M.3
Šašek, P.4
Zvánovcová, K.5
-
24
-
-
35948954741
-
NodeTrix: A hybrid visualization of social networks
-
Henry, N., Fekete, J.D., McGuffin, M.J.: NodeTrix: a hybrid visualization of social networks. TVCG 13, 1302–1309 (2007)
-
(2007)
TVCG
, vol.13
, pp. 1302-1309
-
-
Henry, N.1
Fekete, J.D.2
McGuffin, M.J.3
-
26
-
-
0030145449
-
How not to lie with visualization
-
Rogowitz, B.E., Treinish, L.A.: How not to lie with visualization. Comput. Phys. 10, 268–273 (1996)
-
(1996)
Comput. Phys
, vol.10
, pp. 268-273
-
-
Rogowitz, B.E.1
Treinish, L.A.2
-
28
-
-
0014380830
-
Response time in man-computer conversational transactions
-
Miller, R.B.: Response time in man-computer conversational transactions. In: Proceedings of AFIPS Fall Joint Computer Conference, vol. 33, pp. 267–277 (1968)
-
(1968)
Proceedings of AFIPS Fall Joint Computer Conference
, vol.33
, pp. 267-277
-
-
Miller, R.B.1
-
29
-
-
77954916419
-
The information visualizer: An information workspace
-
Card, S.K., Robertson, G.G., Mackinlay, J.D.: The information visualizer: an information workspace. In: ACM CHI, pp. 181–188 (1991)
-
(1991)
ACM CHI
, pp. 181-188
-
-
Card, S.K.1
Robertson, G.G.2
Mackinlay, J.D.3
|