-
1
-
-
84958264664
-
TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow
-
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X., 2015. TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow.org. URL http://tensorflow.org/.
-
(2015)
-
-
Abadi, M.1
Agarwal, A.2
Barham, P.3
Brevdo, E.4
Chen, Z.5
Citro, C.6
Corrado, G.S.7
Davis, A.8
Dean, J.9
Devin, M.10
Ghemawat, S.11
Goodfellow, I.12
Harp, A.13
Irving, G.14
Isard, M.15
Jia, Y.16
Jozefowicz, R.17
Kaiser, L.18
Kudlur, M.19
Levenberg, J.20
Mané, D.21
Monga, R.22
Moore, S.23
Murray, D.24
Olah, C.25
Schuster, M.26
Shlens, J.27
Steiner, B.28
Sutskever, I.29
Talwar, K.30
Tucker, P.31
Vanhoucke, V.32
Vasudevan, V.33
Viégas, F.34
Vinyals, O.35
Warden, P.36
Wattenberg, M.37
Wicke, M.38
Yu, Y.39
Zheng, X.40
more..
-
2
-
-
0346725097
-
A binary segmentation approach for boxing ribosome particles in cryo EM micrographs
-
Adiga, P.U., Malladi, R., Baxter, W., Glaeser, R.M., A binary segmentation approach for boxing ribosome particles in cryo EM micrographs. J. Struct. Biol. 145:12 (2004), 142–151, 10.1016/j.jsb.2003.10.026.
-
(2004)
J. Struct. Biol.
, vol.145
, Issue.12
, pp. 142-151
-
-
Adiga, P.U.1
Malladi, R.2
Baxter, W.3
Glaeser, R.M.4
-
3
-
-
79960909229
-
Experimental evaluation of support vector machine-based and correlation-based approaches to automatic particle selection
-
Arbelez, P., Han, B.-G., Typke, D., Lim, J., Glaeser, R.M., Malik, J., Experimental evaluation of support vector machine-based and correlation-based approaches to automatic particle selection. J. Struct. Biol. 175:3 (2011), 319–328, 10.1016/j.jsb.2011.05.017.
-
(2011)
J. Struct. Biol.
, vol.175
, Issue.3
, pp. 319-328
-
-
Arbelez, P.1
Han, B.-G.2
Typke, D.3
Lim, J.4
Glaeser, R.M.5
Malik, J.6
-
4
-
-
84923368907
-
How cryo-EM is revolutionizing structural biology
-
Bai, X., McMullan, G., Scheres, S.H., How cryo-EM is revolutionizing structural biology. Trends Biochem. Sci. 40:1 (2015), 49–57, 10.1016/j.tibs.2014.10.005.
-
(2015)
Trends Biochem. Sci.
, vol.40
, Issue.1
, pp. 49-57
-
-
Bai, X.1
McMullan, G.2
Scheres, S.H.3
-
5
-
-
84905974179
-
Structure of β-galactosidase at 3.2-Å resolution obtained by cryo-electron microscopy
-
Bartesaghi, A., Matthies, D., Banerjee, S., Merk, A., Subramaniam, S., Structure of β-galactosidase at 3.2-Å resolution obtained by cryo-electron microscopy. Proc. Nat. Acad. Sci. 111:32 (2014), 11709–11714, 10.1073/pnas.1402809111.
-
(2014)
Proc. Nat. Acad. Sci.
, vol.111
, Issue.32
, pp. 11709-11714
-
-
Bartesaghi, A.1
Matthies, D.2
Banerjee, S.3
Merk, A.4
Subramaniam, S.5
-
6
-
-
33846516584
-
Pattern Recognition and Machine Learning (Information Science and Statistics)
-
Springer-Verlag New York, Inc. Secaucus, NJ, USA
-
Bishop, C.M., Pattern Recognition and Machine Learning (Information Science and Statistics). 2006, Springer-Verlag New York, Inc., Secaucus, NJ, USA.
-
(2006)
-
-
Bishop, C.M.1
-
7
-
-
84904136037
-
Large-scale machine learning with stochastic gradient descent
-
Y. Lechevallier G. Saporta Physica-Verlag HD
-
Bottou, L., Large-scale machine learning with stochastic gradient descent. Lechevallier, Y., Saporta, G., (eds.) Proceedings of COMPSTAT’2010, 2010, Physica-Verlag HD, 177–186, 10.1007/978-3-7908-2604-3_16.
-
(2010)
Proceedings of COMPSTAT’2010
, pp. 177-186
-
-
Bottou, L.1
-
8
-
-
0022808786
-
A computational approach to edge detection
-
Canny, J., A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8(6), 1986, 679–698, 10.1109/TPAMI.1986.4767851.
-
(1986)
IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8
, Issue.6
, pp. 679-698
-
-
Canny, J.1
-
9
-
-
33845449481
-
SIGNATURE: A single-particle selection system for molecular electron microscopy
-
Chen, J.Z., Grigorieff, N., SIGNATURE: A single-particle selection system for molecular electron microscopy. J. Struct. Biol. 157:1 (2007), 168–173, 10.1016/j.jsb.2006.06.001.
-
(2007)
J. Struct. Biol.
, vol.157
, Issue.1
, pp. 168-173
-
-
Chen, J.Z.1
Grigorieff, N.2
-
10
-
-
84928400353
-
Single-particle cryo-EM at crystallographic resolution
-
Cheng, Y., Single-particle cryo-EM at crystallographic resolution. Cell 161:3 (2015), 450–457, 10.1016/j.cell.2015.03.049.
-
(2015)
Cell
, vol.161
, Issue.3
, pp. 450-457
-
-
Cheng, Y.1
-
11
-
-
84928379119
-
A primer to single-particle cryo-electron microscopy
-
Cheng, Y., Grigorieff, N., Penczek, P.A., Walz, T., A primer to single-particle cryo-electron microscopy. Cell 161:3 (2015), 438–449, 10.1016/j.cell.2015.03.050.
-
(2015)
Cell
, vol.161
, Issue.3
, pp. 438-449
-
-
Cheng, Y.1
Grigorieff, N.2
Penczek, P.A.3
Walz, T.4
-
12
-
-
84923094805
-
Global contrast based salient region detection
-
URL
-
Cheng, M.-M., Mitra, N.J., Huang, X., Torr, P.H.S., Hu, S.-M., Zhang, G.-X., Mitra, N.J., Huang, X., Hu, S.-M., Torr, P.H.S., Hu, S.-M., Zhang, G.-X., Mitra, N.J., Huang, X., Hu, S.-M., Global contrast based salient region detection. IEEE Trans. Pattern Anal. Mach. Intell. 37:XX (2015), 569–582, 10.1109/TPAMI.2014.2345401 URL http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6871397.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.37
, Issue.20
, pp. 569-582
-
-
Cheng, M.-M.1
Mitra, N.J.2
Huang, X.3
Torr, P.H.S.4
Hu, S.-M.5
Zhang, G.-X.6
Mitra, N.J.7
Huang, X.8
Hu, S.-M.9
Torr, P.H.S.10
Hu, S.-M.11
Zhang, G.-X.12
Mitra, N.J.13
Huang, X.14
Hu, S.-M.15
-
13
-
-
0000494467
-
-
Morgan Kaufmann Publishers Inc. San Francisco, CA, USA Ch. Handwritten Digit Recognition with a Back-propagation Network, pp. 396–404
-
Cun, Y.L., Boser, B., Denker, J.S., Howard, R.E., Habbard, W., Jackel, L.D., Henderson, D., Advances in Neural Information Processing Systems, vol. 2, 1990, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA Ch. Handwritten Digit Recognition with a Back-propagation Network, pp. 396–404.
-
(1990)
Advances in Neural Information Processing Systems
, vol.2
-
-
Cun, Y.L.1
Boser, B.2
Denker, J.S.3
Howard, R.E.4
Habbard, W.5
Jackel, L.D.6
Henderson, D.7
-
14
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Farabet, C., Couprie, C., Najman, L., LeCun, Y., Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35:8 (2013), 1915–1929, 10.1109/TPAMI.2012.231.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
15
-
-
84994076257
-
A primer on neural network models for natural language processing, CoRR abs/1510
-
Goldberg, Y., 2015. A primer on neural network models for natural language processing, CoRR abs/1510.00726.
-
(2015)
-
-
Goldberg, Y.1
-
16
-
-
33845348200
-
FREALIGN: High-resolution refinement of single particle structures
-
Grigorieff, N., FREALIGN: High-resolution refinement of single particle structures. J. Struct. Biol. 157:1 (2007), 117–125, 10.1016/j.jsb.2006.05.004.
-
(2007)
J. Struct. Biol.
, vol.157
, Issue.1
, pp. 117-125
-
-
Grigorieff, N.1
-
17
-
-
0347447280
-
A two step approach for semi-automated particle selection from low contrast cryo-electron micrographs
-
Hall, R.J., Patwardhan, A., A two step approach for semi-automated particle selection from low contrast cryo-electron micrographs. J. Struct. Biol. 145:12 (2004), 19–28, 10.1016/j.jsb.2003.10.024.
-
(2004)
J. Struct. Biol.
, vol.145
, Issue.12
, pp. 19-28
-
-
Hall, R.J.1
Patwardhan, A.2
-
18
-
-
84887271303
-
Avoiding the pitfalls of single particle cryo-electron microscopy: Einstein from noise
-
Henderson, R., Avoiding the pitfalls of single particle cryo-electron microscopy: Einstein from noise. Proc. Nat. Acad. Sci. 110:45 (2013), 18037–18041, 10.1073/pnas.1314449110.
-
(2013)
Proc. Nat. Acad. Sci.
, vol.110
, Issue.45
, pp. 18037-18041
-
-
Henderson, R.1
-
19
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
Hinton, G., Deng, L., Yu, D., Dahl, G.E., Mohamed, A.-r., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T.N., Kingsbury, B., Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. Signal Process. Mag., IEEE 29:6 (2012), 82–97, 10.1109/msp.2012.2205597.
-
(2012)
Signal Process. Mag., IEEE
, vol.29
, Issue.6
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
Dahl, G.E.4
Mohamed, A.-R.5
Jaitly, N.6
Senior, A.7
Vanhoucke, V.8
Nguyen, P.9
Sainath, T.N.10
Kingsbury, B.11
-
20
-
-
0347447278
-
Application of template matching technique to particle detection in electron micrographs
-
Huang, Z., Penczek, P.A., Application of template matching technique to particle detection in electron micrographs. J. Struct. Biol. 145:12 (2004), 29–40, 10.1016/j.jsb.2003.11.004.
-
(2004)
J. Struct. Biol.
, vol.145
, Issue.12
, pp. 29-40
-
-
Huang, Z.1
Penczek, P.A.2
-
21
-
-
77953183471
-
What is the best multi-stage architecture for object recognition?
-
Jarrett, K., Kavukcuoglu, K., Ranzato, M., LeCun, Y., What is the best multi-stage architecture for object recognition?. Proceedings of the IEEE International Conference on Computer Vision, 2009, 2146–2153, 10.1109/ICCV.2009.5459469.
-
(2009)
Proceedings of the IEEE International Conference on Computer Vision
, pp. 2146-2153
-
-
Jarrett, K.1
Kavukcuoglu, K.2
Ranzato, M.3
LeCun, Y.4
-
22
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
F. Pereira C. Burges L. Bottou K. Weinberger Curran Associates, Inc.
-
Krizhevsky, A., Sutskever, I., Hinton, G.E., ImageNet classification with deep convolutional neural networks. Pereira, F., Burges, C., Bottou, L., Weinberger, K., (eds.) Advances in Neural Information Processing Systems, vol. 25, 2012, Curran Associates, Inc., 1097–1105.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
23
-
-
79960910966
-
Reference-free particle selection enhanced with semi-supervised machine learning for cryo-electron microscopy
-
Langlois, R., Pallesen, J., Frank, J., Reference-free particle selection enhanced with semi-supervised machine learning for cryo-electron microscopy. J. Struct. Biol. 175:3 (2011), 353–361, 10.1016/j.jsb.2011.06.004.
-
(2011)
J. Struct. Biol.
, vol.175
, Issue.3
, pp. 353-361
-
-
Langlois, R.1
Pallesen, J.2
Frank, J.3
-
24
-
-
84898598700
-
Automated particle picking for low-contrast macromolecules in cryo-electron microscopy
-
Langlois, R., Pallesen, J., Ash, J.T., Ho, D.N., Rubinstein, J.L., Frank, J., Automated particle picking for low-contrast macromolecules in cryo-electron microscopy. J. Struct. Biol. 186:1 (2014), 1–7, 10.1016/j.jsb.2014.03.001.
-
(2014)
J. Struct. Biol.
, vol.186
, Issue.1
, pp. 1-7
-
-
Langlois, R.1
Pallesen, J.2
Ash, J.T.3
Ho, D.N.4
Rubinstein, J.L.5
Frank, J.6
-
25
-
-
0030737097
-
Face recognition: A convolutional neural network approach
-
Lawrence, S., Giles, C.L., Tsoi, A.C., Back, A.D., Face recognition: A convolutional neural network approach. IEEE Trans. Neural Networks 8 (1997), 98–113, 10.1109/72.554195.
-
(1997)
IEEE Trans. Neural Networks
, vol.8
, pp. 98-113
-
-
Lawrence, S.1
Giles, C.L.2
Tsoi, A.C.3
Back, A.D.4
-
26
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Lecun, Y., Bottou, L., Bengio, Y., Haffner, P., Gradient-based learning applied to document recognition. Proc. IEEE, 1998, 2278–2324.
-
(1998)
Proc. IEEE
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
27
-
-
84930630277
-
Deep learning
-
LeCun, Y., Bengio, Y., Hinton, G., Deep learning. Nature 521 (2015), 436–444, 10.1038/nature14539.
-
(2015)
Nature
, vol.521
, pp. 436-444
-
-
LeCun, Y.1
Bengio, Y.2
Hinton, G.3
-
28
-
-
84889607320
-
Structure of the TRPV1 ion channel determined by electron cryo-microscopy
-
Liao, M., Cao, E., Julius, D., Cheng, Y., Structure of the TRPV1 ion channel determined by electron cryo-microscopy. Nature, 504(7478), 2013, 107 112, 10.1038/nature12822.
-
(2013)
Nature
, vol.504
, Issue.7478
, pp. 107 112
-
-
Liao, M.1
Cao, E.2
Julius, D.3
Cheng, Y.4
-
29
-
-
84880848354
-
Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM
-
Li, X., Mooney, P., Zheng, S., Booth, C.R., Braunfeld, M.B., Gubbens, S., Agard, D.A., Cheng, Y., Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM. Nat. Meth. 10:6 (2013), 584–590, 10.1038/nmeth.2472.
-
(2013)
Nat. Meth.
, vol.10
, Issue.6
, pp. 584-590
-
-
Li, X.1
Mooney, P.2
Zheng, S.3
Booth, C.R.4
Braunfeld, M.B.5
Gubbens, S.6
Agard, D.A.7
Cheng, Y.8
-
30
-
-
84923367417
-
Deep neural nets as a method for quantitative structure activity relationships
-
Ma, J., Sheridan, R.P., Liaw, A., Dahl, G.E., Svetnik, V., Deep neural nets as a method for quantitative structure activity relationships. J. Chem. Inf. Model. 55:2 (2015), 263–274, 10.1021/ci500747n.
-
(2015)
J. Chem. Inf. Model.
, vol.55
, Issue.2
, pp. 263-274
-
-
Ma, J.1
Sheridan, R.P.2
Liaw, A.3
Dahl, G.E.4
Svetnik, V.5
-
31
-
-
84858966958
-
Strategies for training large scale neural network language models
-
D. Nahamoo M. Picheny IEEE
-
Mikolov, T., Deoras, A., Povey, D., Burget, L., Cernocky, J., Strategies for training large scale neural network language models. Nahamoo, D., Picheny, M., (eds.) ASRU, 2011, IEEE, 196–201.
-
(2011)
ASRU
, pp. 196-201
-
-
Mikolov, T.1
Deoras, A.2
Povey, D.3
Burget, L.4
Cernocky, J.5
-
32
-
-
84924051598
-
Human-level control through deep reinforcement learning
-
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A., Antonoglou, I., King, H., Kumaran, D., Wierstra, D., Legg, S., Hassabis, D., Human-level control through deep reinforcement learning. Nature 518:7540 (2015), 529–533, 10.1038/nature14236.
-
(2015)
Nature
, vol.518
, Issue.7540
, pp. 529-533
-
-
Mnih, V.1
Kavukcuoglu, K.2
Silver, D.3
Rusu, A.A.4
Veness, J.5
Bellemare, M.G.6
Graves, A.7
Riedmiller, M.8
Fidjeland, A.K.9
Ostrovski, G.10
Petersen, S.11
Beattie, C.12
Sadik, A.13
Antonoglou, I.14
King, H.15
Kumaran, D.16
Wierstra, D.17
Legg, S.18
Hassabis, D.19
-
33
-
-
77956509090
-
Rectified linear units improve restricted boltzmann machines
-
J. Frnkranz T. Joachims Omnipress
-
Nair, V., Hinton, G.E., Rectified linear units improve restricted boltzmann machines. Frnkranz, J., Joachims, T., (eds.) ICML, 2010, Omnipress, 807–814.
-
(2010)
ICML
, pp. 807-814
-
-
Nair, V.1
Hinton, G.E.2
-
34
-
-
0035783159
-
Review: Automatic particle detection in electron microscopy
-
Nicholson, W.V., Glaeser, R.M., Review: Automatic particle detection in electron microscopy. J. Struct. Biol. 133:23 (2001), 90–101, 10.1006/jsbi.2001.4348.
-
(2001)
J. Struct. Biol.
, vol.133
, Issue.23
, pp. 90-101
-
-
Nicholson, W.V.1
Glaeser, R.M.2
-
35
-
-
84929687804
-
Cryo-EM: A unique tool for the visualization of macromolecular complexity
-
Nogales, E., Scheres, S.H., Cryo-EM: A unique tool for the visualization of macromolecular complexity. Mol. Cell 58:4 (2015), 677–689, 10.1016/j.molcel.2015.02.019.
-
(2015)
Mol. Cell
, vol.58
, Issue.4
, pp. 677-689
-
-
Nogales, E.1
Scheres, S.H.2
-
36
-
-
84876722357
-
Automatic post-picking using MAPPOS improves particle image detection from cryo-EM micrographs
-
Norousi, R., Wickles, S., Leidig, C., Becker, T., Schmid, V.J., Beckmann, R., Tresch, A., Automatic post-picking using MAPPOS improves particle image detection from cryo-EM micrographs. J. Struct. Biol. 182:2 (2013), 59–66, 10.1016/j.jsb.2013.02.008.
-
(2013)
J. Struct. Biol.
, vol.182
, Issue.2
, pp. 59-66
-
-
Norousi, R.1
Wickles, S.2
Leidig, C.3
Becker, T.4
Schmid, V.J.5
Beckmann, R.6
Tresch, A.7
-
37
-
-
0035782895
-
An automatic particle pickup method using a neural network applicable to low-contrast electron micrographs
-
URL
-
Ogura, T., Sato, C., An automatic particle pickup method using a neural network applicable to low-contrast electron micrographs. J. Struct. Biol. 136:3 (2001), 227–238, 10.1006/jsbi.2002.4442 URL http://www.sciencedirect.com/science/article/pii/S1047847702944424.
-
(2001)
J. Struct. Biol.
, vol.136
, Issue.3
, pp. 227-238
-
-
Ogura, T.1
Sato, C.2
-
38
-
-
84946488108
-
CTFFIND4: Fast and accurate defocus estimation from electron micrographs
-
Rohou, A., Grigorieff, N., CTFFIND4: Fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192:2 (2015), 216–221, 10.1016/j.jsb.2015.08.008.
-
(2015)
J. Struct. Biol.
, vol.192
, Issue.2
, pp. 216-221
-
-
Rohou, A.1
Grigorieff, N.2
-
39
-
-
78049408551
-
Evaluation of pooling operations in convolutional architectures for object recognition
-
Scherer, D., Müller, A., Behnke, S., Evaluation of pooling operations in convolutional architectures for object recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6354 LNCS (PART 3), 2010, 92–101, 10.1007/978-3-642-15825-4_10.
-
(2010)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6354 LNCS (PART 3)
, pp. 92-101
-
-
Scherer, D.1
Müller, A.2
Behnke, S.3
-
40
-
-
84868444740
-
RELION: Implementation of a bayesian approach to cryo-EM structure determination
-
Scheres, S.H., RELION: Implementation of a bayesian approach to cryo-EM structure determination. J. Struct. Biol. 180:3 (2012), 519–530, 10.1016/j.jsb.2012.09.006.
-
(2012)
J. Struct. Biol.
, vol.180
, Issue.3
, pp. 519-530
-
-
Scheres, S.H.1
-
41
-
-
60649101018
-
A method for the alignment of heterogeneous macromolecules from electron microscopy
-
Shatsky, M., Hall, R.J., Brenner, S.E., Glaeser, R.M., A method for the alignment of heterogeneous macromolecules from electron microscopy. J. Struct. Biol. 166:1 (2009), 67–78, 10.1016/j.jsb.2008.12.008.
-
(2009)
J. Struct. Biol.
, vol.166
, Issue.1
, pp. 67-78
-
-
Shatsky, M.1
Hall, R.J.2
Brenner, S.E.3
Glaeser, R.M.4
-
42
-
-
84963949906
-
Mastering the game of Go with deep neural networks and tree search
-
Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M., Kavukcuoglu, K., Graepel, T., Hassabis, D., Mastering the game of Go with deep neural networks and tree search. Nature 529:7587 (2016), 484–489, 10.1038/nature16961.
-
(2016)
Nature
, vol.529
, Issue.7587
, pp. 484-489
-
-
Silver, D.1
Huang, A.2
Maddison, C.J.3
Guez, A.4
Sifre, L.5
van den Driessche, G.6
Schrittwieser, J.7
Antonoglou, I.8
Panneershelvam, V.9
Lanctot, M.10
Dieleman, S.11
Grewe, D.12
Nham, J.13
Kalchbrenner, N.14
Sutskever, I.15
Lillicrap, T.16
Leach, M.17
Kavukcuoglu, K.18
Graepel, T.19
Hassabis, D.20
more..
-
43
-
-
67651054955
-
Automatic particle selection from electron micrographs using machine learning techniques
-
Sorzano, C., Recarte, E., Alcorlo, M., Bilbao-Castro, J., San-Martn, C., Marabini, R., Carazo, J., Automatic particle selection from electron micrographs using machine learning techniques. J. Struct. Biol. 167:3 (2009), 252–260, 10.1016/j.jsb.2009.06.011.
-
(2009)
J. Struct. Biol.
, vol.167
, Issue.3
, pp. 252-260
-
-
Sorzano, C.1
Recarte, E.2
Alcorlo, M.3
Bilbao-Castro, J.4
San-Martn, C.5
Marabini, R.6
Carazo, J.7
-
44
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R., Dropout: A simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15:1 (2014), 1929–1958.
-
(2014)
J. Mach. Learn. Res.
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
45
-
-
84887297231
-
Structure of trimeric HIV-1 envelope glycoproteins
-
Subramaniam, S., Structure of trimeric HIV-1 envelope glycoproteins. Proc. Nat. Acad. Sci. 110:45 (2013), E4172–E4174, 10.1073/pnas.1313802110.
-
(2013)
Proc. Nat. Acad. Sci.
, vol.110
, Issue.45
, pp. E4172-E4174
-
-
Subramaniam, S.1
-
46
-
-
84929206964
-
Structural basis of human γ-secretase assembly
-
Sun, L., Zhao, L., Yang, G., Yan, C., Zhou, R., Zhou, X., Xie, T., Zhao, Y., Wu, S., Li, X., Shi, Y., Structural basis of human γ-secretase assembly. Proc. Nat. Acad. Sci. USA 112:19 (2015), 6003–6008, 10.1073/pnas.1506242112.
-
(2015)
Proc. Nat. Acad. Sci. USA
, vol.112
, Issue.19
, pp. 6003-6008
-
-
Sun, L.1
Zhao, L.2
Yang, G.3
Yan, C.4
Zhou, R.5
Zhou, X.6
Xie, T.7
Zhao, Y.8
Wu, S.9
Li, X.10
Shi, Y.11
-
47
-
-
84910597353
-
Sequence to sequence learning with neural networks, CoRR abs/1409
-
Sutskever, I., Vinyals, O., Le, Q.V., 2014. Sequence to sequence learning with neural networks, CoRR abs/1409.3215.
-
(2014)
-
-
Sutskever, I.1
Vinyals, O.2
Le, Q.V.3
-
48
-
-
84930634156
-
Joint training of a convolutional network and a graphical model for human pose estimation
-
Z. Ghahramani M. Welling C. Cortes N. Lawrence K. Weinberger Curran Associates, Inc.
-
Tompson, J.J., Jain, A., Lecun, Y., Bregler, C., Joint training of a convolutional network and a graphical model for human pose estimation. Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K., (eds.) Advances in Neural Information Processing Systems, vol. 27, 2014, Curran Associates, Inc., 1799–1807.
-
(2014)
Advances in Neural Information Processing Systems
, vol.27
, pp. 1799-1807
-
-
Tompson, J.J.1
Jain, A.2
Lecun, Y.3
Bregler, C.4
-
49
-
-
84887282198
-
Finding trimeric HIV-1 envelope glycoproteins in random noise
-
van Heel, M., Finding trimeric HIV-1 envelope glycoproteins in random noise. Proc. Nat. Acad. Sci. USA 110:45 (2013), E4175–E4177, 10.1073/pnas.1314353110.
-
(2013)
Proc. Nat. Acad. Sci. USA
, vol.110
, Issue.45
, pp. E4175-E4177
-
-
van Heel, M.1
-
50
-
-
79551480483
-
Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion
-
arXiv:0-387-31073-8
-
Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.-A., Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11:3 (2010), 3371–3408, 10.1111/1467-8535.00290 arXiv:0-387-31073-8.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, Issue.3
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
51
-
-
63649113687
-
DoG picker and TiltPicker: Software tools to facilitate particle selection in single particle electron microscopy
-
Voss, N., Yoshioka, C., Radermacher, M., Potter, C., Carragher, B., DoG picker and TiltPicker: Software tools to facilitate particle selection in single particle electron microscopy. J. Struct. Biol. 166:2 (2009), 205–213, 10.1016/j.jsb.2009.01.004.
-
(2009)
J. Struct. Biol.
, vol.166
, Issue.2
, pp. 205-213
-
-
Voss, N.1
Yoshioka, C.2
Radermacher, M.3
Potter, C.4
Carragher, B.5
-
52
-
-
84950282257
-
Structure of the voltage-gated calcium channel Cav1.1 complex
-
Wu, J., Yan, Z., Li, Z., Yan, C., Lu, S., Dong, M., Yan, N., Structure of the voltage-gated calcium channel Cav1.1 complex. Science, 350(5), 2015, aad2395, 10.1126/science.aad2395.
-
(2015)
Science
, vol.350
, Issue.5
, pp. aad2395
-
-
Wu, J.1
Yan, Z.2
Li, Z.3
Yan, C.4
Lu, S.5
Dong, M.6
Yan, N.7
-
53
-
-
84970002232
-
Show, attend and tell: Neural image caption generation with visual attention
-
D. Blei F. Bach
-
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., Zemel, R., Bengio, Y., Show, attend and tell: Neural image caption generation with visual attention. Blei, D., Bach, F., (eds.) Proceedings of the 32nd International Conference on Machine Learning (ICML-15), JMLR Workshop and Conference Proceedings, 2015, 2048–2057.
-
(2015)
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), JMLR Workshop and Conference Proceedings
, pp. 2048-2057
-
-
Xu, K.1
Ba, J.2
Kiros, R.3
Cho, K.4
Courville, A.5
Salakhudinov, R.6
Zemel, R.7
Bengio, Y.8
-
54
-
-
84942474131
-
Structure of a yeast spliceosome at 3.6-angstrom resolution
-
Yan, C., Hang, J., Wan, R., Huang, M., Wong, C.C.L., Shi, Y., Structure of a yeast spliceosome at 3.6-angstrom resolution. Science 349:6253 (2015), 1182–1191, 10.1126/science.aac7629.
-
(2015)
Science
, vol.349
, Issue.6253
, pp. 1182-1191
-
-
Yan, C.1
Hang, J.2
Wan, R.3
Huang, M.4
Wong, C.C.L.5
Shi, Y.6
-
55
-
-
84903712031
-
Visualizing and understanding convolutional networks, CoRR abs/1311
-
Zeiler, M.D., Fergus, R., 2013. Visualizing and understanding convolutional networks, CoRR abs/1311.2901.
-
(2013)
-
-
Zeiler, M.D.1
Fergus, R.2
-
56
-
-
84873999666
-
TMaCS: A hybrid template matching and classification system for partially-automated particle selection
-
Zhao, J., Brubaker, M.A., Rubinstein, J.L., TMaCS: A hybrid template matching and classification system for partially-automated particle selection. J. Struct. Biol. 181:3 (2013), 234–242, 10.1016/j.jsb.2012.12.010.
-
(2013)
J. Struct. Biol.
, vol.181
, Issue.3
, pp. 234-242
-
-
Zhao, J.1
Brubaker, M.A.2
Rubinstein, J.L.3
-
57
-
-
84923096947
-
Mechanistic insights into the recycling machine of the SNARE complex
-
Zhao, M., Wu, S., Zhou, Q., Vivona, S., Cipriano, D.J., Cheng, Y., Brunger, A.T., Mechanistic insights into the recycling machine of the SNARE complex. Nature 518:7537 (2015), 61–67, 10.1038/nature14148.
-
(2015)
Nature
, vol.518
, Issue.7537
, pp. 61-67
-
-
Zhao, M.1
Wu, S.2
Zhou, Q.3
Vivona, S.4
Cipriano, D.J.5
Cheng, Y.6
Brunger, A.T.7
-
58
-
-
84929335211
-
Electron cryomicroscopy observation of rotational states in a eukaryotic V-ATPase
-
Zhao, J., Benlekbir, S., Rubinstein, J.L., Electron cryomicroscopy observation of rotational states in a eukaryotic V-ATPase. Nature 521:5 (2015), 241–245, 10.1038/nature14365.
-
(2015)
Nature
, vol.521
, Issue.5
, pp. 241-245
-
-
Zhao, J.1
Benlekbir, S.2
Rubinstein, J.L.3
-
59
-
-
84958257565
-
Predicting effects of noncoding variants with deep learning-based sequence model
-
Zhou, J., Troyanskaya, O.G., Predicting effects of noncoding variants with deep learning-based sequence model. Nat. Meth. 12:10 (2015), 931–934, 10.1038/nmeth.3547.
-
(2015)
Nat. Meth.
, vol.12
, Issue.10
, pp. 931-934
-
-
Zhou, J.1
Troyanskaya, O.G.2
-
60
-
-
0348077422
-
Automatic particle selection: results of a comparative study
-
Zhu, Y., Carragher, B., Glaeser, R.M., Fellmann, D., Bajaj, C., Bern, M., Mouche, F., de Haas, F., Hall, R.J., Kriegman, D.J., Ludtke, S.J., Mallick, S.P., Penczek, P.A., Roseman, A.M., Sigworth, F.J., Volkmann, N., Potter, C.S., Automatic particle selection: results of a comparative study. J. Struct. Biol. 145:12 (2004), 3–14, 10.1016/j.jsb.2003.09.033.
-
(2004)
J. Struct. Biol.
, vol.145
, Issue.12
, pp. 3-14
-
-
Zhu, Y.1
Carragher, B.2
Glaeser, R.M.3
Fellmann, D.4
Bajaj, C.5
Bern, M.6
Mouche, F.7
de Haas, F.8
Hall, R.J.9
Kriegman, D.J.10
Ludtke, S.J.11
Mallick, S.P.12
Penczek, P.A.13
Roseman, A.M.14
Sigworth, F.J.15
Volkmann, N.16
Potter, C.S.17
|