-
2
-
-
84954340787
-
Representation learning: A review and new perspectives
-
Y. Bengio, A. Courville, and P. Vincent. Representation learning: A review and new perspectives. PAMI, 2013.
-
(2013)
PAMI
-
-
Bengio, Y.1
Courville, A.2
Vincent, P.3
-
5
-
-
84873443879
-
Theano: A cpu and GPU math expression compiler
-
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio. Theano: a cpu and gpu math expression compiler. In Proceedings of SciPy, 2010.
-
(2010)
Proceedings of SciPy
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
7
-
-
85011791449
-
Cloud-based predictive modeling system and its application to asthma readmission prediction
-
R. Chen, H. Su, Y. Zhen, M. Khalilia, D. Hirsch, M. Thompson, T. Davis, Y. Peng, S. Lin, J. Tejedor-Sojo, E. Searles, and J. Sun. Cloud-based predictive modeling system and its application to asthma readmission prediction. In AMIA. AMIA, 2015.
-
(2015)
AMIA. AMIA
-
-
Chen, R.1
Su, H.2
Zhen, Y.3
Khalilia, M.4
Hirsch, D.5
Thompson, M.6
Davis, T.7
Peng, Y.8
Lin, S.9
Tejedor-Sojo, J.10
Searles, E.11
Sun, J.12
-
10
-
-
85014902153
-
Learning lowdimensional representations of medical concepts
-
Y. Choi, C. Y.-I. Chiu, and D. Sontag. Learning lowdimensional representations of medical concepts. 2016. To be submitted to AMIA CRI.
-
(2016)
AMIA CRI
-
-
Choi, Y.1
Chiu, C.Y.-I.2
Sontag, D.3
-
11
-
-
0020060712
-
Epileptic seizures in cerebral arterial occlusive disease
-
L. Cocito, E. Favale, and L. Reni. Epileptic seizures in cerebral arterial occlusive disease. Stroke, 1982.
-
(1982)
Stroke
-
-
Cocito, L.1
Favale, E.2
Reni, L.3
-
12
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
R. Collobert and J. Weston. A unified architecture for natural language processing: Deep neural networks with multitask learning. In ICML, 2008.
-
(2008)
ICML
-
-
Collobert, R.1
Weston, J.2
-
13
-
-
84984975177
-
Medical semantic similarity with a neural language model
-
L. De Vine, G. Zuccon, B. Koopman, L. Sitbon, and P. Bruza. Medical semantic similarity with a neural language model. In KDD, 2014.
-
(2014)
KDD
-
-
De Vine, L.1
Zuccon, G.2
Koopman, B.3
Sitbon, L.4
Bruza, P.5
-
15
-
-
0018958968
-
Lung volumes and mechanics of breathing in tetraplegics
-
J. Forner. Lung volumes and mechanics of breathing in tetraplegics. Spinal Cord, 18 (4): 258-266, 1980.
-
(1980)
Spinal Cord
, vol.18
, Issue.4
, pp. 258-266
-
-
Forner, J.1
-
16
-
-
84907029489
-
Unfolding physiological state: Mortality modelling in intensive care units
-
M. Ghassemi, T. Naumann, F. Doshi-Velez, N. Brimmer, R. Joshi, A. Rumshisky, and P. Szolovits. Unfolding physiological state: Mortality modelling in intensive care units. In KDD, 2014.
-
(2014)
KDD
-
-
Ghassemi, M.1
Naumann, T.2
Doshi-Velez, F.3
Brimmer, N.4
Joshi, R.5
Rumshisky, A.6
Szolovits, P.7
-
18
-
-
84937834963
-
A multiplicative model for learning distributed text-based attribute representations
-
R. Kiros, R. Zemel, and R. R. Salakhutdinov. A multiplicative model for learning distributed text-based attribute representations. In NIPS, 2014.
-
(2014)
NIPS
-
-
Kiros, R.1
Zemel, R.2
Salakhutdinov, R.R.3
-
19
-
-
84965153327
-
Skip-thought vectors
-
R. Kiros, Y. Zhu, R. Salakhutdinov, R. S. Zemel, A. Torralba, R. Urtasun, and S. Fidler. Skip-thought vectors. In NIPS, 2015.
-
(2015)
NIPS
-
-
Kiros, R.1
Zhu, Y.2
Salakhutdinov, R.3
Zemel, R.S.4
Torralba, A.5
Urtasun, R.6
Fidler, S.7
-
20
-
-
84919829999
-
Distributed representations of sentences and documents
-
Q. Le and T. Mikolov. Distributed representations of sentences and documents. In ICML, 2014.
-
(2014)
ICML
-
-
Le, Q.1
Mikolov, T.2
-
21
-
-
84890478042
-
Building high-level features using large scale unsupervised learning
-
Q. V. Le. Building high-level features using large scale unsupervised learning. In ICASSP, 2013.
-
(2013)
ICASSP
-
-
Le, Q.V.1
-
23
-
-
85083954099
-
Learning to diagnose with lstm recurrent neural networks
-
Z. C. Lipton, D. C. Kale, C. Elkan, and R. Wetzell. Learning to diagnose with lstm recurrent neural networks. In ICLR, 2016.
-
(2016)
ICLR
-
-
Lipton, Z.C.1
Kale, D.C.2
Elkan, C.3
Wetzell, R.4
-
25
-
-
79959829092
-
Recurrent neural network based language model
-
T. Mikolov, M. Karaat, L. Burget, J. Cernocky, and S. Khudanpur. Recurrent neural network based language model. In INTERSPEECH, 2010.
-
(2010)
INTERSPEECH
-
-
Mikolov, T.1
Karaat, M.2
Burget, L.3
Cernocky, J.4
Khudanpur, S.5
-
26
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, 2013.
-
(2013)
NIPS
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
28
-
-
84858779990
-
A scalable hierarchical distributed language model
-
A. Mnih and G. E. Hinton. A scalable hierarchical distributed language model. In NIPS, 2009.
-
(2009)
NIPS
-
-
Mnih, A.1
Hinton, G.E.2
-
31
-
-
84905251531
-
Improved musical onset detection with convolutional neural networks
-
J. Schluter and S. Bock. Improved musical onset detection with convolutional neural networks. In ICASSP, 2014.
-
(2014)
ICASSP
-
-
Schluter, J.1
Bock, S.2
-
32
-
-
84926358845
-
Recursive deep models for semantic compositionality over a sentiment treebank
-
R. Socher, A. Perelygin, J. Y. Wu, J. Chuang, C. D. Manning, A. Y. Ng, and C. Potts. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP, 2013.
-
(2013)
EMNLP
-
-
Socher, R.1
Perelygin, A.2
Wu, J.Y.3
Chuang, J.4
Manning, C.D.5
Ng, A.Y.6
Potts, C.7
-
33
-
-
84894077964
-
Predicting changes in hypertension control using electronic health records from a chronic disease management program
-
J. Sun, C. D. McNaughton, P. Zhang, A. Perer, A. Gkoulalas-Divanis, J. C. Denny, J. Kirby, T. Lasko, A. Saip, and B. A. Malin. Predicting changes in hypertension control using electronic health records from a chronic disease management program. JAMIA, 21, 2014.
-
(2014)
JAMIA
, vol.21
-
-
Sun, J.1
McNaughton, C.D.2
Zhang, P.3
Perer, A.4
Gkoulalas-Divanis, A.5
Denny, J.C.6
Kirby, J.7
Lasko, T.8
Saip, A.9
Malin, B.A.10
-
34
-
-
84879940846
-
Supervised patient similarity measure of heterogeneous patient records
-
J. Sun, F. Wang, J. Hu, and S. Edabollahi. Supervised patient similarity measure of heterogeneous patient records. KDD Explorations, 2012.
-
(2012)
KDD Explorations
-
-
Sun, J.1
Wang, F.2
Hu, J.3
Edabollahi, S.4
-
35
-
-
80053495924
-
Word representations: A simple and general method for semi-supervised learning
-
J. Turian, L. Ratinov, and Y. Bengio. Word representations: a simple and general method for semi-supervised learning. In ACL, 2010.
-
(2010)
ACL
-
-
Turian, J.1
Ratinov, L.2
Bengio, Y.3
-
36
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol. Extracting and composing robust features with denoising autoencoders. In ICML, 2008.
-
(2008)
ICML
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
37
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. JMLR, 2010.
-
(2010)
JMLR
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
38
-
-
84953301379
-
Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records
-
Y. Wang, K. Ng, R. J. Byrd, J. Hu, S. Ebadollahi, Z. Daar, C. deFilippi, S. R. Steinhubl, and W. F. Stewart. Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records. In EMBC, 2015.
-
(2015)
EMBC
-
-
Wang, Y.1
Ng, K.2
Byrd, R.J.3
Hu, J.4
Ebadollahi, S.5
Daar, Z.6
DeFilippi, C.7
Steinhubl, S.R.8
Stewart, W.F.9
|